Datasets:

patent

/

AIPD_nlp_granted_claims

like 0

Generate a child claim based on:

1. An improved electronic translator wherein a first sentence in a first language is translated into a second sentence in a second language, the translator comprising input means for entering the first sentence into the translator, a first memory means for storing a plurality of words and sentences in the first language, the plurality of words and sentences being stored at respectively specific addresses, a second memory means for storing a like plurality of words and sentences in the second language, each of the plurality of words and sentences in the second memory means being stored at a specific address that is equivalent to the address of a corresponding word or sentence in the first memory means, selection means for selecting from among the sentences and words stored in the first memory means that combination of words to produce a translatable sentence that is most equivalent to the first sentence entered by said input means, access means responsive to the selection means for retrieving a sentence and words from addresses in the second memory means equivalent to those of the most equivalent sentence selected by the selection means to achieve a second, translated sentence in the second language that is most equivalent to the first sentence, and output means responsive to the access means for outputting the second, translated sentence in the second language.

12. An improved electronic translator according to claim 1, wherein the selection means initially searches the sentences stored in the first memory means for a substantially equivalent sentence and, if none is found, to secondarily search the first memory means for individual words from which to form the first sentence.

Generate a child claim based on:

11. The method of claim 1 , further comprising: expressing the set of instructions using a formal language by providing either necessary information or references to where the necessary information is found, to solve equations of motion describing aircraft flight and so compute a trajectory of the aircraft.

13. The method of claim 11 , comprising providing a graphical display of the set of instructions expressed using the formal language.

Generate a child claim based on:

2. The method of claim 1 further comprising generating a reference model based on the word-level data flow graph.

3. The method of claim 2 wherein the reference model is further based on architectural information from the bit-level data flow graph.

Generate a child claim based on:

17. The computer program product recited in claim 16 , further comprising associating an attribute type version with the attribute type.

18. The computer program product recited in claim 17 , wherein the attribute type version is incremented in the event that an attribute is added to or deleted from the attribute type.

Generate a child claim based on:

17. The method of claim 14 wherein: identifying an author of the particular piece of content includes identifying a byline for the particular piece of content that specifies an author of the particular piece of content and a media outlet within which the particular piece of content appeared; establishing a relationship between the particular piece of content and the contact information for the author of the particular piece of content includes establishing a relationship between the byline for the particular piece of content and the contact information for the author of the particular piece of content; and identifying the contact information for the author of the particular piece of content as a consequence of the established relationship between the particular piece of content and the contact information for the author of the particular piece of content includes identifying the contact information for the author of the particular piece of content as a consequence of the established relationship between the byline for the particular piece of content and the contact information for the author of the particular piece of content.

18. The method of claim 17 wherein: determining that contact information for the author of the particular piece of content is included within the accessed contact information includes determining that contact information at another media outlet for the author of the particular piece of content is included within the accessed contact information, the other media outlet being different from the media outlet within which the particular piece of content appeared; establishing a relationship between the particular piece of content and the byline for the particular piece of content includes establishing a relationship between the byline for the particular piece of content and the contact information for the author at the other media outlet that is different from the media outlet within which the particular piece of content appeared; identifying the contact information for the author of the particular piece of content includes identifying the contact information for the author at the other media outlet that is different from the media outlet within which the particular piece of content appeared; and returning, to the second computing system, at least some of the identified contact information for the author of the particular piece of content includes returning, to the second computing system, at least some of the identified contact information for the author at the other media outlet that is different from the media outlet within which the particular piece of content appeared.

Generate a child claim based on:

11. An apparatus for automatically determining any of importance of an on-line asset and expertise that one or more members of an online community possess, without asking said community members directly, comprising: means for observing usage by a community of peers and experts who show high affinity in connection with online assets; a processor for employing automatic techniques to extract patterns from said usage; said processor comprising a module for identifying usefulness of an online asset by observing user implicit behaviors in connection with said usage patterns of said online asset and by extracting behavioral patterns from said observations; said processor comprising a module for refining said identified online asset usefulness by context, wherein the context of each online asset is automatically detected based on observed terms/topics from individual and group user behaviors when said online asset is determined to be useful based upon said individual and group user behaviors; said processor comprising a module for assigning to each said online asset a document impact factor score for each possible topic/term, said document impact factor representing the importance of each said online asset to each topic; said processor comprising a module for assigning to each user an expert impact factor which is determined by aggregating identified topics of online assets each user has found useful, weighted by the document impact factor and by document rareness, wherein said expert impact factor and other observed patterns of behavior define a user's identified expertise; said processor comprising a module for using said identified expertise of each user to identify a community of experts given a specific topic/term of interest expressed by a user, and to identify a community of peers for a given user based upon a relationship between a target user's identified expertise and all other users; and said observed usage patterns comprising user online search, navigation, and interaction behavior, said behavior including any of searches performed and position in user trail; assets viewed and position in user trail; dwell, range, scrolling, think time, and mouse movement on an asset; anchors and lines used in asset text; virtual bookmarks and virtual printing; and explicit downloading, emailing, printing, saving, and removing.

12. The apparatus of claim 11 , further comprising: said processor classifying usage of a given asset by a given user as successful or unsuccessful use based on a combination of factors comprising any of time spent on an asset, explicit user actions taken on said asset, said actions comprising any of print, save, email, and bookmark, mouse and keyboard behavior, length and distribution of stable pauses between activity, navigation to and from said asset, and browser window state, said state comprising any of foreground, background, minimized, maximized, and closed.

Generate a parent claim based on:

11. The one or more non-transitory machine-readable media of claim 9 , wherein obtaining the content items comprises: traversing the social graph of the social network to identify content items associated with the second user.

9. One or more non-transitory machine-readable media storing instructions that are executable by one or more processing devices to perform operations comprising: receiving, from a first user, information specifying one or more attributes of a story related to a second user; obtaining content items from a social network, with the content items comprising one or more content items in the social network related to the story and related to the second user and one or more content items in the social network unrelated to the story and related to the second user; filtering the obtained content items to include only one or more of the one or more content items related to the story and related to the second user, with a content item being related to the story when the content item satisfies one or more of the one or more attributes, and with the content item being related to the second user when a node representing the content item in a social graph of the social network is connected in the social graph to another node representing the second user; and generating, based on the filtered content, data for a graphical user interface that when rendered by a device used by the first user, comprises a visual representation of the story.

Generate a parent claim based on:

10. A method as described in claim 9 including the step of heating a portion of a ribbon of the printer, causing the portion to melt and mark the document with the information in the time and the date.

9. A method as described in claim 8 wherein the activating step includes the step of activating the activation element which causes the thermal transfer printer to mark the time and date and information on the document.

Generate a child claim based on:

16. The method of claim 14 , in which the automated speech recognition captioner is selected from a plurality of automated speech recognition captioners; and in which the measured accuracy of the captions generated by the automated speech recognition captioner stored in a database record associated with the associated with the first captioned telephone service call.

17. The method of claim 16 , further comprising: initiating a second captioned telephone service call; selecting an automated speech recognition captioner for the second captioned telephone service call based on the accuracy creating, using the selected automated speech recognition captioner, captions based on words spoken by a first party to the captioned telephone service call; displaying the captions to a second party to the second captioned telephone service call.

Generate a parent claim based on:

17. The system of claim 16 wherein the browser component, when interacted with, provides a drop down menu that displays one or more suggested search queries for selection by further interaction.

16. In a computing environment, a system comprising at least one processor to execute a user interface module, the user interface module comprising, one part of the user interface module configured to display a web page, and an interactive part of the user interface module configured to generate one or more suggested search queries that are associated with the web page, including when the web page is not a search results web page, the other part being interactive to select a suggested search query when at least one suggested search query is available and to select another query based upon another web page within a same browsing session as the web page when no suggested search query is available, wherein the interactive part comprises a browser component that when interacted with displays one or more suggested search queries for selection.

Generate a parent claim based on:

17. The handheld electronic device of claim 13 , wherein the indicator comprises a plurality of linguistic elements.

13. A handheld electronic device, comprising: a keyboard having a plurality of input members, at least some of the input members having assigned thereto a plurality of linguistic elements; a display; a processor apparatus comprising a processor and a memory in electronic communication with the processor, the memory having stored therein a plurality of input method languages and a text disambiguation function structured to employ one of the plurality of the input method languages, the processor apparatus being structured to: input an actuation of one or more of the input members; detect a selection of an input method language; detect as an ambiguous input the actuation of one or more of the input members; output a plurality of language objects that correspond with the ambiguous input to enable one of the plurality of language objects to be selected; output at a location adjacent to the plurality of language objects an indicator specifying one of the plurality of input method languages which is currently employed by the disambiguation function to enable the indicator to be selected in lieu of one of the plurality of language objects; and upon the indicator being selected in lieu of one of the plurality of language objects, enable a selection of one of a plurality of alternate indicators adjacent to the indicator specifying an alternate one of the plurality of input method languages to be selected, wherein the selection of one of the plurality of alternate indicators is enabled while the inputting an actuation of one or more of the input members is ongoing.

Generate a child claim based on:

1. A conversational sentence translation apparatus comprising: input means through which a free conversational sentence in a first language is inputted in the apparatus; a semantic feature dictionary in which information on various semantic features is stored, said information on each semantic feature including a name of the semantic feature and at least one character string in the first language having the semantic feature, said character strings serving as elements of sentences in the first language; a bilingual database in which information on various conversational sentence examples is stored, said information on each conversational sentence example including a conversational sentence example in the first language, a translation in a second language of the conversational sentence example, and a string of semantic features contained in the conversational sentence example; an analyzer for, with reference to the semantic feature dictionary, extracting semantic features from the conversational sentence input through the input means; a semantic searcher for searching the bilingual database for the semantic features extracted by the analyzer to determine a degree of semantic coincidence between each conversational sentence example and the input conversational sentence and select a conversational sentence example having a highest degree of semantic coincidence; and display means for displaying the conversational sentence example selected by the semantic searcher and the translation thereof.

20. The conversational sentence translation apparatus according to claim 1, wherein an optional semantic feature is set as a semantic feature to be registered in the semantic feature dictionary; optional semantic feature information that specifies the optional semantic feature is added to pertinent semantic feature strings registered in the bilingual database; and the semantic searcher performs the conversational sentence example selection with reference to the optional semantic feature information, by deeming that, if the input conversational sentence has no character string corresponding to the optional semantic feature present in a semantic feature string of a conversational sentence example registered in the bilingual database, the semantic feature string of the conversational sentence example contains no optional semantic feature.

Generate a parent claim based on:

18. The non-transitory computer-readable medium of claim 13 wherein the code for receiving the second object comprises code for receiving an attribute of an object specified using JavaScript Object Notation having a value that specifies a data type of an attribute of the third object corresponding to a transformation of the attribute of the first object.

13. A non-transitory computer-readable medium storing a computer program product executable by a processor of a computer system for transforming JavaScript Object Notation (JSON) data, the non-transitory computer-readable medium comprising: code for receiving a first object specified using JavaScript Object Notation (JSON), the first object having a set of one or more attributes, each attribute being of a predetermined JSON data type and having at least one value code for receiving a second object specified using JavaScript Object Notation, the second object having a set of one or more attributes each corresponding to at least one attribute in the set of one or more attributes of the first object and having at least one value defining one or more transformations, wherein receiving the second object comprises receiving an attribute of an object specified using JavaScript Object Notation having a value that defines one or more tests that define whether the one or more transformations are applicable to the first object; code for determining a positive evaluation of the one or more tests; and code for transforming the first object specified using JavaScript Object Notation into a third object specified using JavaScript Object Notation based on the second object specified using JavaScript Object Notation based on the positive evaluation of the one or more tests, wherein the transforming comprises renaming an attribute of the first object, performing one or more numerical operations with respect to a value of an attribute of the first object, performing one or more string operations with respect to a value of an attribute of the first object, adding one or more attributes to an attribute of the first object which is also an object, or removing one or more attributes from an attribute of the first object which is also an object.

Generate a parent claim based on:

3. The method according to claim 1, wherein said arranging step arranges a first document symbol table and a second document symbol table into a group of symbol tables when a fraction of the symbols in the first document symbol table recur in the second document symbol table.

1. A method for compressing a corpus of documents stored in a memory of a computer system, comprising the steps of: converting each document in the corpus of documents stored in the memory into a tokenized representation that includes a document symbol table and a document position table; arranging in the memory the document symbol tables of the documents in the corpus of documents into groups of symbol tables with recurring symbols; and computing a collective symbol table for each group of document symbol tables arranged in the memory; said computing step compressing the tokenized representations of the documents stored in the memory by sharing recurring symbols across the documents in the corpus of documents; wherein said computing step hierarchically arranges each computed collective symbol table into a group symbol table, a residual document symbol table, and a residual page symbol table.

Generate a parent claim based on:

4. The method of claim 2 , wherein determining whether the word submitted by the second player is the word associated with the image is selected from a group comprising determining whether the word submitted by the second player is a misspelled form of the word associated with the image, and determining whether the word submitted by the second player is a synonym for the word associated with the image.

2. The method of claim 1 , wherein determining whether the word submitted by the second player is related to the image includes determining whether the word submitted by the second player is the word associated with the image.

Generate a child claim based on:

12. The method of claim 1 , further comprising delivering at least one of the plurality of corrected text data sets to at least one destination.

13. The method of claim 12 , further comprising receiving the at least one destination from a user.

Generate a parent claim based on:

8. A document processing apparatus according to claim 6, wherein said apparatus further includes a buffer for temporarily storing the words read out by said reading out means.

6. Document processing apparatus comprising: key input means for entering characters and instructions to said apparatus, the characters comprising words and the words comprising title information and a plurality of documents; means for coding each of the characters entered by said key input means and for coding each word entered by said key input means as a number of digits; memory means for storing a plurality of words in a random order, each word being comprised of at least one character and having a word code determined by the coding by said coding means of the at least one character of which each word is comprised, said memory means storing the title information input by said key input means, the title information corresponding to each document input by said key input means, said memory means having a field for numbering, an evaluation value obtained by comparing each of titles of the stored title information being stored in the field, and a currently displayed title information being changed to a title to be displayed with other titles in a reverse sequence or a forward sequence in accordance with the stored evaluation value; means responsive to entry of an instruction by said key input means for reading out the stored words from said memory means in a read out order determined on the basis of the word code; means for comparing each digit position of the numerals comprising the word codes to determine which is larger and for generating the evaluation value based on the comparison; means for determining the read out order of the stored words on the basis of the evaluation value which is determined by the comparison of respective digit positions in each of said words; and means for displaying the words read out from said memory means by said reading out means in said read out order, said displaying means having a display capacity for displaying words less than the capacity of said memory means for storing words, said key input means entering an instruction for specifying one of a forward sequence and a reverse sequence for the order of display of the words.

Generate a child claim based on:

15. The system of claim 14 , wherein the filter criteria includes a plurality of item numbers.

16. The system of claim 15 , wherein the filter criteria includes a user number that is associated with a user.

Generate a parent claim based on:

10. The system of claim 1 , wherein: the first relative frequency of occurrence of the first one of the tags is determined in accordance with f X A = n X A N A = n X A ∑ Y ⁢ n Y A wherein X represents the first one of the tags, A represents the first bounded geographic area, n X A represents a number of independent occurrences of the first tag X in A, N A represents a total number of independent tags in A, and f X A represents the first relative frequency of occurrence.

1. A system comprising: a tag relevance manager embodied via executable instructions stored on a computer-readable storage medium, the tag relevance manager including: a tag collector that obtains a plurality of tags associated with a plurality of geographic locations, each tag indicating one or more attributes associated with an entity associated with one of the geographic locations; a geographic scope component that obtains a first geographic scope indicating a first hierarchical geographic analysis level associated with the plurality of geographic locations; a first frequency component that obtains a first relative frequency of occurrence of a first one of the tags based on a first bounded geographic area that includes a first one of the geographic locations that is associated with the first one of the tags; a second frequency component that obtains a second relative frequency of occurrence of the first one of the tags based on a second bounded geographic area that is larger than the first bounded geographic area, the second bounded geographic area surrounding the first one of the geographic locations that is associated with the first one of the tags, the first bounded geographic area including at least a first portion of the plurality of geographic locations, and the second bounded geographic area including at least a second portion of the plurality of geographic locations; and a tag ranking component that determines, via a device processor, a first locale ranking value associated with the first tag indicating a relevance of the first tag based on the first geographic scope, the first and second relative frequencies of occurrence, and a locale associated with the first bounded geographic area.

Generate a parent claim based on:

3. The method of claim 1 , wherein determining that the selected sequence of keys corresponds to the character string that is identified using the format source comprises: sending, by the computing device, a request message to a remote service for data associated with the format source; receiving, by the computing device, a reply message from the remote service that includes the data associated with the format source.

1. A method comprising: outputting, by a computing device and for display at a presence-sensitive display, a graphical user interface associated with an application executing at the computing device, the graphical user interface comprising an input field and a graphical keyboard, the graphical keyboard comprising a group of keys, wherein each key in the group of keys is associated with a respective, different region of the presence-sensitive display; receiving, at the computing device, an indication of a gesture to select a sequence of keys that are each included in the group of keys of the graphical keyboard; determining, by the computing device, that the selected sequence of keys corresponds to a character string that is identifiable by a format source, wherein the format source is associated with a syntax, the format source and the syntax being determined based on syntax information associated with the input field; determining, by the computing device and based at least in part on the syntax, that at least one separator character is associated with the character string, wherein the gesture does not indicate a key associated with the at least one separator character, and wherein the syntax comprises a set of rules that define one or more combinations of symbols or characters that are structurally valid in a given context defined as the input field; and in response to determining that the at least one separator character is associated with the character string for the given context, outputting, by the computing device, for display within the input field, the character string and the at least one separator character between at least two characters of the character string.

Generate a child claim based on:

1. A system, comprising: a relevance component associated with each result of a results page, the relevance component having an interactive positive relevance as a “more” link configured to enable positive feedback as to each result and an interactive negative relevance as a “none” link configured to enable negative feedback as to each result, the results page related to an original query; an analysis component configured to automatically analyze metadata associated with each result and automatically select a topical term from each result; a query formulation component configured to automatically reformulate for each result of the relevance component a new query associated with the “more” link and a new query associated with the “none” link; a query processing component configured to automatically process the new query associated with selection of the “more” link or the new query associated with selection of the “none” link for each result of the results page, and return new results for the new query, such that selection of the “more” link includes the topical term in the processing of the new search results, or selection of the “none” link indicates negation of the topical term from the processing of the new search results to ensure the new search results do not contain the topical term; and a microprocessor configured to execute computer-executable instructions in a memory, the execution of the instructions enables at least one of the relevance component, analysis component, query formulation component, or query processing component.

4. The system of claim 1 , wherein the query formulation component is configured to construct the new queries from the original query by at least one of adding new terms or removing old terms.

Generate a parent claim based on:

11. The computer program product of claim 8 , wherein the computer readable program code that, when executed on the processor of the computer, causes the computer to: join a table storing the client information with a table storing the database monitoring information to obtain a table of joined information.

8. A computer program product comprising a computer readable storage medium storing computer readable program code that, when executed on a processor of a computer, causes the computer to: collect client information for client applications running on a client computer, wherein the client information includes a client application identifier for each client application that issues queries to a database along with text of each of the queries that the client application issues; collect database monitoring information that includes the text of each of the queries issued against the database and performance information for each of the queries, wherein the database monitoring information does not include the client application identifier of each client application that issues the queries; match the text of the queries in the client information and the text of the queries in the database monitoring information to obtain combined information that provides the client application identifier and the performance information for each of the queries; identify a problem query using the combined information; identify multiple client applications that issued the problem query using the combined information; and in response to determining that a comparison window can be expanded, wherein the comparison window represents a number of queries that were issued in a particular order and include the problem query being compared to the combined information, expand the comparison window; and attempt to identify a single client application that issued the problem query using the expanded comparison window.

Generate a parent claim based on:

46. The system as recited in claim 37 , wherein a given one of said one or more navigation paths corresponds to a user traversal from a first one of said plurality of online content sources to a second one of said plurality of online content sources.

37. A system, comprising: one or more computer systems, each comprising at least a memory configured to store program instructions and a processor configured to execute program instructions, wherein the program instructions are executable by the one or more computer systems to implement: a web services interface configured to receive, according to a web services protocol, indications of navigation traffic directed to respective ones of a plurality of online content sources; a traffic analysis engine configured to receive said indications from said web services interface; and a search engine configured to identify a result set including one or more of said plurality of online content sources, wherein each of the included one or more online content sources satisfies a keyword query including one or more keywords; wherein said traffic analysis engine is further configured, for a given one of the online content sources included in said result set, to identify and generate corresponding representations of one or more aggregate paths including said given online content source, wherein each of the one or more aggregate paths includes one or more navigation paths among said plurality of online content sources as reflected by said indications of navigation traffic, wherein each of the one or more navigation paths is indicative of an access request by one or more users that originates from a corresponding originating one of said online content sources to access a corresponding destination one of said online content sources, wherein each such access request indicated by a navigation path occurs prior to generation of representations of said one or more aggregate paths, wherein a representation of a given one of said one or more aggregate paths is indicative of multiple ones of said online content sources; and wherein said search engine is further configured to detect a selection of a particular online content source from one of said identified aggregate paths, wherein prior to said detecting, said particular online content source does not satisfy said keyword query; and wherein in response to detecting said selection of said particular online content source, said search engine is further configured to associate said one or more keywords included in said keyword query with said particular online content source, such that after said one or more keywords are associated with said particular online content source, said particular online content source satisfies said keyword query.

Generate a child claim based on:

1. A data processing system comprising: a peripheral storage device having at least one recording medium and means for writing data onto and reading data from said recording medium; a controller coupled to said peripheral storage device and responsive to predetermined instructions and command data for controlling the writing of data onto and reading of data from said recording medium; a main memory storage device coupled to said controller and having a plurality of addressable storage locations, at least some of said storage locations capable of storing data to be written onto or that has been read from said recording medium, and at least some other of said storage locations capable of storing said command data, said command data including a portion thereof defining a verification word; and a central processing unit coupled to said controller and to said main memory storage device and including (a) means for supplying said predetermined instructions to said controller, (b) means for addressing the storage locations of said main memory storage device, (c) means for examining said portion of command data accessed from said main memory storage device in order to verify the validity of said accessed command data, said means for examining comprising constant memory means having a predetermined verification word stored therein and means for comparing said portion of said accessed command data with said predetermined verification word, said accessed command data being verified as valid only when the verification word in said first portion thereof matches said predetermined verification word, and (d) means for supplying to said controller command data verified as valid.

3. The data processing system of claim 1, wherein said peripheral storage device is a disk drive and said controller is a disk drive controller.

Generate a parent claim based on:

17. The non-transitory computer readable storage medium of claim 13 further comprising computer program instructions for: transmitting, over the network to the computing device, the search results web page for display by the computing device, the computing device using the stored web page component when displaying the search results web page.

13. A non-transitory computer readable storage medium storing computer program instructions capable of being executed by a computer processor on a computing device, the computer program instructions for: receiving, over a network from a computing device, a first request for search suggestions related to a first search query that has been input into a search term entry area displayed by a web browser executing on the computing device; transmitting in response to the first request, over the network to the computing device, instructions for the computing device to display a plurality of search suggestions related to the first search query, each of the plurality of search suggestions representing content from a respective search results web page; setting, by the server computer over the network, a cookie with a time stamp for the displaying of the plurality of the search suggestions related to the first search query; transmitting, by the server computer over the network to the computing device, during the transmission of instructions to initially display the plurality of search suggestions related to the first search query, storage instructions that further cause the computing device to store in a memory of the computing device a web page component that is part of at least one respective search results web page prior to initially displaying the respective search results web page; transmitting, by the server computer over the network to the computing device, instructions further causing the computing device to visibly display the search suggestions related to the first search query transmitted by the server computer without visibly displaying the stored web page component during display of the plurality of search suggestions related to the first search query receiving, by the server computer over the network, a second request for a second search suggestion related to a second search query; determining, by the server computer over the network, that the time period associated with the timestamp of the cookie related to the first search query has not elapsed; and transmitting, by the server computer over the network, upon determination that the time period related to the first search query has not elapsed, instructions to the computing device to display a search suggestion related to the second search query prior to initially displaying the respective search results web page and further causing the computing device to store a web page component associated with a search results web page corresponding to the search suggestion related to the second search query.

Generate a child claim based on:

11. A system for translating a relational database query into a multidimensional expression language (MDX) database query comprising: a component configured to: parse a relational database query into one or more relational database query tokens; filter zero or more of the one or more relational database query tokens based at least in part on business logic to create a set of filtered relational database query tokens, the filtering comprising: removing a relational database query token, from the one or more relational database query tokens, responsive to determining that the relational database query token corresponds to a field not supported by a multidimensional database or is associated with a return of a dataset that exceeds a threshold; identify relevant metadata, from a metadata store, associated with metadata associated with the set of filtered relational database query tokens, the relevant metadata comprising current multidimensional metadata and trend related multidimensional metadata; translate at least some relational database query tokens of the set of filtered relational database query tokens into one or more work item query language (WIQL) tokens; retrieve a first group of one or more MDX tokens based at least in part on the relevant metadata; retrieve a second group of one or more MDX tokens based at least in part on the one or more WIQL tokens; arrange at least some of the one or more MDX tokens of the first group and at least some of the one or more MDX tokens of the second group based at least in part on the metadata associated with the set of filtered relational database query tokens; and generate one or more MDX database queries for trend related information and current information based at least in part on at least some of the arranged MDX tokens.

13. The system of claim 11 , the multidimensional database comprising an online analytical processing cube.

Generate a parent claim based on:

6. The method according to claim 1 , wherein building a graph based on the extracted features, further comprises associating each node representing an entity, with a vector based on the value of the features characterizing the relations and related entities.

1. A method for automatically extracting and mining relations and related entities from unstructured text, comprising: Receiving a query specifying a main entity; and Extracting, using a computer processing system, from unstructured text relations and related entities related to the main entity specified in the query, the extracting further comprising: Searching and selecting in the unstructured text, documents containing the main entity; Attaching to each word of the selected documents, at least one tag, each tag being of a different type; extracting relations and related entities by applying patterns to the tagged documents, wherein the patterns are induced from unstructured text, the inducing comprising: attaching to each word of an unstructured text, at least one tag of a different type; defining at least one template, each template being based on a sequence of tags; and Generating from each template, at least one pattern, each pattern specifying a role for each tag in the template; Extracting from the selected documents features characterizing each entity and relation; and building a graph based on the extracted features, whose nodes represent the entities related to the specified main entity and whose edges represent the relations between the entities, wherein building a graph based on the extracted features further comprises expanding the graph based on distances between nodes, the expanding further comprising selecting at least one expanded entity, close to the main entity, and extracting from the unstructured text, relations and related entities related to each expanded entity; wherein extracting features characterizing each relation from the selected documents further comprises associating each relation with a relation class, a relation strength, and temporal information, and wherein building the graph further comprises indicating on the graph which of the entities are related at a given time based on the temporal information for each relation.

Generate a parent claim based on:

20. The system of claim 12 , wherein each of the plurality of charts is user-interactive such that the user can provide a search filter to the search query.

12. A system comprising: a data storage system having a plurality of construction project specification documents stored therein, wherein the construction project specification documents are formatted to have a predefined uniform organizational structure according to a standard for organizing construction specification documents; memory; and a processor configured to: analyze the construction project specification documents and to identify construction project specification documents that satisfy a search query received from a user, the search query including a first search criteria, and generate a user interface having a plurality of charts for display to the user, wherein the plurality of charts displays information relating to a first number of documents that satisfy the first search, wherein a first chart of the plurality of charts includes information relating to a second search criteria different than the first search criteria, and wherein the information relating to one of the first search criteria or the second search criteria of the first chart is selectable by the user to provide a modified search criteria configured to cause the plurality of charts to change in response to the modified search criteria based on the construction project specification documents.

Generate a parent claim based on:

67. The method as recited in claim 65 , further comprising another peer in the peer-to-peer network using one of the implementations of said first service that is configured to support the other peer's particular platform type.

65. The method as recited in claim 52 , wherein the services include a plurality of implementations of a particular service each configured to support a different platform type.

Generate a child claim based on:

1. A computer implemented method for developing and maintaining problem resolution flow charts, comprising: authoring by a user a dependency matrix of questions and states describing a problem to be resolved, the matrix being formed by crossing said questions with said states, there being a cell in the matrix corresponding to the intersection of each question and each state, each cell containing one or more answers corresponding to the respective state and a respective answer probability for each said answer, each state having a probability of occurrence; generating by a computer a problem resolution flowchart from the dependency matrix, said probabilities of occurrence and said answer probabilities being used to optimize the order of said questions in said flowchart; and testing the problem resolution flowchart.

2. A method as in claim 1 , wherein the authoring step further comprises: editing the questions and states; and modifying cell values relating each of said questions with each of said states, and wherein said probabilities of occurrence and said answer probabilities are updated by said testing.

Generate a child claim based on:

13. A computer-implemented method for performing access control to at least one information resource associated with at least one application within a computer network, the computer-implemented method comprising: receiving identified application relevant context sources; receiving specified constraints, specified by means of a constraint specification console, the constraints being based on context information that are provided by the identified relevant context sources; translating the specified constraints into rules understandable by an appropriate rule engine; forwarding the translated constraints to the rule engine so that the translated constraints get stored in the rule engine as a set of rules; translating, at runtime by means of a rule engine adaptor, context information originating from the identified relevant context sources into facts that can be interpreted and appropriately correlated with the respective rules by and stored in the rule engine; and querying such facts, in case of need, by means of an application specific constraint enforcement point from the rule engine via the rule engine adaptor so as to enable the constraint enforcement point to make appropriate enforcement decisions.

14. A computer-implemented method according to claim 13 , wherein the rule engine is chosen as an off-the-shelf component that is capable of handling facts and applying inference rules on those facts and used in such a way that context information originating from the identified relevant context sources is represented as facts and the specified constraints are expressed as rules within the rule engine.

Generate a parent claim based on:

12. The method of claim 11 , wherein alerting the user comprises sending a message to the user.

11. A computer-implemented method that facilitates searching within an online classifieds site comprising: monitoring updated items posted to the online classifieds site; determining, by a processing unit, that a match is present between at least one updated item and at least a user's geo-tag preferences, wherein the user's geo-tag preferences include at least two separate locations, and wherein the match is based on a detailed location description associated with the at least one updated item; alerting the user that at least one match is determined; and presenting a filtered location description comprising a mapped portion of the detailed location description associated with the at least one updated item to the user, wherein the mapped portion of the detailed location description illustrates a neighborhood associated with the at least one updated item.

Generate a child claim based on:

22. The system according to claim 18, further comprising: a third entity in communication with said transmission medium, said third entity revealing each of said plurality of facts to said second entity.

23. The system according to claim 22, further comprising: creating a private list of facts in said memory module whose indicia for authorization do not permit publication; and requesting of said third entity permission for publication of said facts in said private list.

Generate a parent claim based on:

10. The computer system of claim 8 , wherein step iv) ascertains in a first iteration of the loop that the condition is not satisfied.

8. A computer system comprising a computer program stored on a non-transitory storage medium, said computer program including instructions configured to be executed on the computer system to perform a method for constructing a link structure for T documents, said method comprising: generating an initial link structure G 0 comprising a plurality of initial links between the T documents, each document of the T documents comprising at least one query, each query comprising at least one keyword, said T at least 2; for each document d of the T documents, performing a loop consisting of no more than M iterations, M being a predefined maximum number of iterations, M being greater than 2, each iteration of the loop comprising the steps of: i) using a search engine to generate a ranking order of T′ documents that consist of all documents of the T documents except document d; ii) modifying the initial link structure G 0 in accordance with the ranking order to generate a modified link structure G 1 ; iii) ascertaining whether a condition is satisfied, said condition being that a measure of a difference between G 0 and G 1 is less than a specified threshold or said M iterations have been performed; iv) if said ascertaining ascertains that the condition is satisfied then exiting the loop followed by outputting the modified link structure G 1 , otherwise setting G 0 equal to G 1 followed by performing a next iteration of the loop comprising steps i), ii), iii), and iv); wherein M iterations have been performed resulting in generation of M modified link structures G 1 in step ii); wherein after M iterations have been performed and said exiting the loop has been performed, the method further comprises determining and outputting a final link structure G; wherein the final link structure G comprises each node that is commonly comprised by the M modified link structures; and wherein the final link structure G comprises each edge that is commonly comprised by at least a predefined fraction of the M modified link structures.

Generate a parent claim based on:

13. The method of claim 1 , wherein analyzing the query usage data includes, for each of multiple actions among the actions: determining a corresponding distribution of queries from among a plurality of corresponding queries mapped to the action by the online grammar model using the collected query usage data; and including, in the identified subset of popular queries, at least a top corresponding query from among the plurality of corresponding queries mapped to the action.

1. A method, comprising: maintaining an online grammar model used by an online voice-based query processor to parse online voice-based queries, the online grammar model mapping a plurality of queries to actions, wherein the actions include non-search actions performable by a computer system, wherein each of the actions is mapped in the grammar model to one or more corresponding queries of the plurality of queries, and wherein each of a plurality of the actions includes one or more corresponding parameters for constraining performance of the action; analyzing query usage data for at least a subset of the plurality of queries to identify a subset of popular queries from among the plurality of queries mapped by the online grammar model, wherein the query usage data includes query usage data collected for queries issued by a plurality of users; and building an offline grammar model that maps the subset of popular queries to actions among the actions for use by a resource-constrained offline device, wherein the offline grammar model has reduced resource requirements relative to the online grammar model and omits mappings for one or more queries among the plurality of queries.

Generate a child claim based on:

11. The method of claim 7 , wherein the received portion is limited to a maximum number of search hints.

12. The method of claim 11 , wherein the displayed words are ordered based on sales popularity data.

Generate a parent claim based on:

16. The system according to claim 14 , wherein said user interface provides capability for analysis type selection.

14. A system for operating a computer to analyze image evaluation data from electronic survey respondents to evaluate preferences related to two dimensional and three dimensional images, the system comprising: means for receiving data files, wherein said data files include designated area data, image attributes, and opinions of a plurality of survey respondents for one or more survey images in an electronic survey, wherein the designated area data corresponds to designated areas in one or more of the survey images; means for providing a user interface to permit an operator to reformat said designated area data and set analysis parameters; means for performing cluster analysis to said data files to reduce the dimensionality of said designated area data and to classify areas of the survey images that generate positive and negative responses; means for producing coordinate data to map cluster classifications onto the survey images; means for producing coordinate data for construction of a heat map of said designated area data; means for performing descriptive statistical analysis to said data files; means for identifying clusters of interest based on the designated areas; means for assigning a cluster score to at least one cluster of the clusters of interest, wherein the cluster score is generated based on a proportion of the plurality of survey respondents that designated at least one area of the designated areas associated with the at least one cluster; means for linking the opinions corresponding to the designated areas and results from said descriptive statistical analysis to said clusters of interest; and means for saving analysis results for processing by a viewing means.

Generate a parent claim based on:

20. The method of claim 12 , wherein the lanes of the multi-lane link have measurable latencies, and wherein the designated lane is configured for low-latency.

12. A method of utilizing a bi-directional multi-lane link, the method comprising: transmitting a first plurality of words, wherein words of the first plurality of words that belong to a predetermined word category are transmitted only over a designated lane of the multi-lane link; striping words of the first plurality of words that belong to other word categories, other than the predetermined category, onto next available lanes of the multi-lane link; determining a word category of a word in a second plurality of words received over the designated lane; responsive to a determination that the word is of the predetermined word category, reading the word from the designated lane before lane-to-lane deskew is completed; and responsive to a determination that the word is not of the predetermined word category, reading the word from the designated lane after lane-to-lane deskew is completed.

Generate a child claim based on:

8. A computer-readable medium storing instructions, the instructions comprising: one or more instructions that, when executed by one or more processors, cause the one or more processors to: receive text to be analyzed to identify relationships within the text; identify a first subject-verb-object (SVO) unit and a second SVO unit included in the text, the first SVO unit being different than the second SVO unit; identify a characteristic of the text, the characteristic of the text including one of: a size of the text, contents included in the text, a type of document that includes the text, or a file format of a file that includes the text; select, based on the characteristic of the text, a SVO unit analysis technique, the SVO unit analysis technique including at least one of: a semantic role labeling analysis technique, a discourse connective analysis technique, a verb relation and entailment analysis technique, a verb classification and sentence classification analysis technique, or a boundary connector and flow analysis technique; perform the SVO analysis technique on the text to determine a semantic connection, the semantic connection describing a relationship between the first SVO unit and the second SVO unit; and provide information that describes the first SVO unit, the second SVO unit, and the semantic connection for display on a user interface of a client device, the information identifying an inconsistency between the first SVO unit and the second SVO unit, and the information identifying the inconsistency being displayed on the user interface of the client device to allow a user to correct the inconsistency between the first SVO unit and the second SVO unit.

12. The computer-readable medium of claim 8 , where the first SVO unit is adjacent to the second SVO unit in the text; and where the instructions further comprise: one or more instructions that, when executed by the one or more processors, cause the one or more processors to: parse the text to identify the first SVO unit and the second SVO unit; tag one or more words of the text to identify a role of the one or more words based on parsing the text; identify a structural connection between the first SVO unit and the second SVO unit based on tagging the one or more words, the structural connection being the semantic connection between the first SVO unit and the second SVO unit, the structural connection being identified based on the first SVO unit being adjacent to the second SVO unit, and the structural connection being based on a tagged word associated with the first SVO unit or the second SVO unit; and determine the semantic connection based on the structural connection.

Generate a child claim based on:

1. A method of granting a client access to a communication network, the method comprising: blocking access by the client to the communication network using an enforcer; receiving a request to access the communication network from the client; invoking an appropriate access protocol terminator; receiving at least one attribute associated with client access to the communication network from the appropriate access protocol terminator; translating the at least one attribute into a canonical form; receiving at least one attribute of backend service type information and translating the at least one attribute of the backend service type information into the canonical form; using the at least one attribute associated with client access in canonical form and the at least one attribute of the backend service type information in canonical form as input to policy rules; applying the policy rules to determine a policy result; delivering the policy result to the enforcer; and granting access by the client to the communication network through the enforcer based on the policy result.

5. The method of claim 1 further comprising making network access requests from an environment having a plurality of network access control frameworks.

Generate a parent claim based on:

6. The method of claim 5 , further comprising rendering content selected according to an enclosing tag.

5. The method of claim 3 , further comprising rendering a version of the multi-version document for a user.

Generate a child claim based on:

1. A method for human verification comprising a contextually iconic visual public Turing test, the method comprising: receiving a request to verify whether a client is human controlled; selecting, by contextual criteria, a plurality of images each having one or more associated tags from a database; generating a challenge question and a corresponding answer set based on associated tags of a subset of the plurality of images, wherein the challenge question includes an animated tutorial with visual cues; presenting the plurality of images and the challenge question to the client; receiving an answer to the challenge question or a rephrase indication from the client; if receiving the answer from the client, responding to the request by verifying whether the answer is contained in the answer set to determine whether the client is human controlled; if receiving the rephrase indication from the client, generating a rephrased challenge question having the corresponding answer set, wherein the rephrased challenge question includes the animated tutorial with the visual cues; and presenting the rephrased challenge question to the client; wherein the challenge question is more specific than the rephrased challenge question, and wherein the rephrased challenge question is more general than the challenge question.

9. The method of claim 1 , wherein the challenge question and the rephrased challenge question comprises selecting one or more images from the plurality of images that match one or more specific tags.

Generate a parent claim based on:

16. The generator of claim 13 , wherein the diffusion/confusion function is a ciphering function.

13. A non-deterministic generator of numbers from a noise source providing a bit flow, the generator comprising: a storage device wherein the bit flow is parallelized to obtain first words, each first word including a first number of bits; a compression circuit configured to apply a compression function to the first words, resulting in second words; a diffusion/confusion circuit, separate and distinct from the compression circuit, configured to apply a diffusion/confusion function to the first words, resulting in third words, the first words being input to the compression circuit and to the diffusion/confusion circuit in parallel; an evaluating circuit configured to determine a second number of bits in the second words; and a selection circuit configured to select a second number of bits from an output of the diffusion/confusion circuit based on an output of the evaluating circuit, wherein the entropy per bit of the noise source is optimized by using the output of the compression circuit to select useful bits in the third words provided by the diffusion/confusion circuit, wherein a drift in the entropy of the noise source can be detected.

Generate a parent claim based on:

17. The method of claim 11 , wherein the display data comprises at least 0.25 pixel of whitespace between the keywords.

11. A computer-implemented method comprising: receiving a search query at a processing circuit from a client device, the search query comprising a text string; parsing the search query at the processing circuit using parsing criteria based on one or more dictionaries to determine keywords associated with the search query, wherein the keywords associated with the search query include one or more portions of the text string searching a database using the keywords associated with the search query to obtain a search result comprising a universal resource locator; identifying a plurality of the keywords in the universal resource locator; modifying the universal resource locator by inserting previously non-existing space between at least two of the plurality of identified keywords in the universal resource locator; generating display data comprising the modified universal resource locator having the plurality of identified keywords and the inserted space therebetween; and sending the display data to the client device; wherein inserting the space in the universal resource locator comprises inserting a HTML tar between characters of the universal resource locator before sending the display data to the client device, wherein the HTML tag comprises at least one of a div tag, an italics tag, and a span tag.

Generate a parent claim based on:

19. The computer-readable data storage device of claim 18 , wherein the acts further comprise: continuing the random walk from the second node until the random walk returns to the first node; counting a total number of steps taken during the random walk from the first node to the second node and back to the first node; and outputting the second query based at least in part upon the total number of steps taken during the random walk from the first node to the second node and back to the first node.

18. A computer-readable data storage device comprising instructions that, when executed by a processor, cause the processor to perform acts comprising: receiving a first query; accessing a computer-implemented bipartite graph, wherein the bipartite graph includes a first set of nodes that represent queries and a second set of nodes that represent URLs, wherein the first set of nodes includes a first node that is representative of the first query and wherein the bipartite graph further includes a first weighted edge that couples the first node to at least one node in the second set of nodes and includes weighted edges that couple nodes in the first set of nodes with nodes in the second set of nodes; initiating a random walk from the first node, wherein edges in the random walk are selected pseudo-randomly while considering weights of the edges; and outputting a second query that is determined to be substantially similar to the first query based at least in part upon a number of steps taken during the random walk between the first node and a second node that represents the second query.

Generate a child claim based on:

3. The method of claim 1 , wherein the digital image is a first digital image of the document received from scanning equipment, and further comprising, prior to performing step (g): determining that the overall image confidence level is less than the threshold value; receiving a second digital image of the document; replacing the first digital image with the second digital image, wherein the second digital image is treated as the digital image; and repeating steps (b) through (f).

4. The method of claim 3 , wherein the second digital image is a result of one or more of (i) a modification of the document prior to receiving the second digital image, (ii) a modification of the scanning equipment, or (iii) a modification to a scanned image prior to receiving.

Generate a parent claim based on:

4. The computer executable method of claim 1 , further comprises: setting the visit indicator to the instructions after the abstract interpretation of each of the instruction is finished; examining if an instruction to be subjected to the abstract interpretation next is already subjected to the abstract interpretation by referring to the visit indicator; and where the instruction to be subjected to the abstract interpretation next is already interpreted, omitting further abstract interpretations for a next instruction and trying to retrieve another instruction being not yet subjected to the abstract interpretation.

1. A computer executable method for analyzing a control flow graph by an abstract interpretation of a program comprising: extracting a program state of the program from a program state buffer, the program state including a program counter; generating an edge of a control flow graph from a branch instruction associated with the program counter to a target address of the branch instruction in an abstract interpretation for an assignment instruction to a branch target variable of a program; the program allocating a particular branch target variable to each branch instruction having a plurality of branch targets configured to store branch target addresses of each of the plurality of branch targets, with a branch target address for one of the plurality of branch targets being loaded from the branch target variable upon branching; a branch address of a branch instruction having one branch target as well as the target address assigned by the assignment instruction to the branch target variable being determined as certain constant values determined by compiling the program; adding the target address assigned by the assignment instruction to a program counter of a new program state of the abstract interpretation, and setting a visit indicator for the particular program counter associated with the branch instruction; and terminating a current abstract interpretation in the case that the abstract interpretation reaches to program state already subjected to the abstract interpretation, as indicated by a visit indicator set for a program state.

Generate a parent claim based on:

2. The method of claim 1 wherein the plurality of local probabilities is based upon an n-gram paradigm.

1. A method of language modeling of a document comprising: computing, by a computer processor, a plurality of local probabilities of a current document; determining a vector representation of the current document in a latent semantic analysis (LSA) space at a first time based on a first number of words present in the current document from a second time to the first time, wherein the second time precedes the first time; computing, by a computer processor, a plurality of global probabilities based upon the vector representation of the current document in an LSA space; and combining the local probabilities and the global probabilities to produce a language modeling.

Generate a parent claim based on:

6. The forensic system according to claim 1 , wherein the forensic system further includes a plurality of servers, the digital information extracting unit and the searching unit are separate from the servers, respectively, and the separate digital information extracting unit, the searching unit, and the plurality of servers are connected to each other via a network.

1. A forensic system configured to acquire digital information recorded on a plurality of computers or a server to analyze the acquired digital information, the forensic system comprising: a digital information acquiring unit configured to acquire digital information containing digital document information composed of a plurality of document files, to acquire user information about users using the plurality of computers or the server, and to acquire access history information which shows a fact that the users accessed a document file recorded in the server; a recording unit configured to record therein digital information acquired by the digital information acquiring unit; a first display unit usable by a first operator configured to display the recorded digital information; a second display unit usable by a second operator configured to display the recorded digital information; a specific-individual selecting unit configured to select, via at least one of the first display unit or the second display unit, a specific first individual and a specific second individual from the users contained in the user information, wherein the first operator, the second operator, the specific first individual, and the specific second individual are different from each other; a control unit including: a digital document information extracting unit operable on a first server and configured to extract only digital document information which was accessed by the specific first individual and the specific second individual based on the access history information related with the selected specific first individual and the selected specific second individual; a file analysis function configured to analyze a kind of document file which was accessed or possessed by the specific first individual and the specific second individual; a kind selection function configured to cause the extraction unit to extract a particular kind of document file; a preservation function configured to preserve the extracted document file as a separate file and to control the status thereof; and a clock unit which, when newly acquiring digital information, is configured to clock a time and date of the acquisition of the digital information, the digital information further including folder information saving digital document information, wherein the digital information acquiring unit is configured to acquire the digital document information and the folder information which were produced after a time and date previously clocked by the clock unit, and wherein the digital information acquiring unit is configured to acquire user information and access history information related with the acquired digital document information and the folder information; a first additional information setting unit usable by the first operator and a second additional information setting unit usable by the second operator configured to simultaneously set, via the first display unit and the second display unit, respectively, additional information indicating which document files in the extracted digital document information are each related with litigation, and which document files in the extracted digital document information are each not related with litigation; the control unit further including: a multi-language full-text searching unit operable on a second server and configured to perform a multi-language full-text search of the document files based on the extracted digital document information; and a managing unit including an access right control function configured to set one or more rights for each account of a browser; and an output unit configured to output a document file related with the litigation based on the additional information.

Generate a parent claim based on:

3. The method of claim 1 , further comprising providing, by the system server, the selected subset of the plurality of web pages to a user that selects the first file and identifying the at least one author to the user.

1. A method of identifying web pages of a world wide web having relevance to a first file, comprising: identifying a plurality of web pages within the world wide web, wherein the plurality of web pages each have a relationship with the first file, wherein the world wide web provides a platform for sharing web pages, and wherein each web page includes a document or information resource that is suitable for the world wide web and is accessible through a web browser; generating, by a system server, a list of inquiries based on the plurality of web pages, wherein the list of inquiries includes search terms used in a search that identified the first file and the plurality of web pages, wherein the search terms are included within text of citations of the first file; providing, by the system server, the list of inquiries to at least one author of the first file; receiving from the at least one author at least one response to the list of inquiries; selecting a subset of the plurality of web pages based on the at least one response; and storing information related to the selected subset of the plurality of web pages for access if the first file is selected; providing, by the system server, the selected subset of the plurality of web pages to a user that selects the first file; and identifying the at least one author to the user.

Generate a child claim based on:

13. A method of managing a networking system, comprising: providing an information handling system, the information handling system comprising one or more processing devices communicatively-coupled across a network to one or more network devices of the networking system; and using the one or more processing devices to execute a network management system (NMS) that includes an ontology-based command line interface (CLI) knowledge model to maintain and administer the networking system using the ontology-based CLI knowledge model; where the ontology-based CLI knowledge model comprises an ontology build module, and where the method further comprises using the one or more processing devices to execute the ontology build module as one or more ontology build steps that comprise: a seed learning step where build parameter information is received by the ontology build module, a learning and knowledge building step for CLI command structure and network device behavior where each given one of the network devices is interrogated over the network to elicit and receive a response from the given network device describing one or more of the CLI characteristics it possesses, and a CLI knowledge model creation step where the one or more CLI characteristics received from each given network device is organized as CLI data to create a CLI knowledge model; and where the information handling system further comprises at least one storage device coupled to the one or more processing devices, and where the method further comprises using the one or more processing devices to execute ontology build steps comprising: issuing a CLI stimulus from the information handling system across the network to each given network device being interrogated, receiving and collecting at least one text based CLI response back across the network from each given interrogated network device, the CLI response includes CLI output data, classifying collected CLI data received from each given interrogated network device; analyzing the classified CLI data, the current location in CLI command structure, and the current state of each given network device, determining a set of commands based on the analysis of the classified CLI data, the current location in CLI command structure, and the current state of each given network device, and creating the determined set of commands for issuance across the network to the given network device.

16. The method of claim 13 , further comprising using the one or more processing devices to execute the NMS such that the ontology-based CLI knowledge model links the NMS to at least one of web content management systems, semantic web applications, shopping portals or services, warranty services, test and design tools, auto generated CLI manuals, or a combination thereof.

Generate a parent claim based on:

5. The server system of claim 4 , wherein the machine learned, form selection classifier generates probabilistic predictions of form usage derived from the form usage data and the transaction data.

4. The server system of claim 3 wherein the set of document management instructions, if executed by the processor, are further operable to cause the server system to: display a suggested legal document form and its associated reliability rating for the legal transaction, wherein the suggested legal document form and its associated reliability rating are determined by the rules engine; and add the transaction data and the second user's form selection to the set of form usage data.

Generate a parent claim based on:

4. The method of claim 1 , wherein the plurality of message components comprises at least one of a sender electronic mail address, a recipient electronic mail address, a subject header, and a message body.

1. A computer-implemented method for delivering a customized electronic mail message to a client, the method comprising: identifying a fixed portion and a variable portion of a customizable electronic mail message; isolating the variable portion of the customizable electronic mail message, said isolating further comprising generating a plurality of customized versions of the variable portion of the customizable electronic mail message; storing the plurality of customized versions of the variable portion of the customizable electronic mail message in a directory hierarchy, said directory hierarchy categorized by codepage, message language, and country; receiving, from the client, a request for delivering the customized electronic mail message, said request including a message type indicator and a message language indicator, said received request comprising a recipient electronic mail address and custom data in a first format; selecting at least one of the stored plurality of customized versions as a function of the message type indicator of the received request and the message language indicator of the received request; converting the custom data from the first format into a second format, said second format different from the first format wherein the first format is not compatible with the at least one selected customized version and the second format is compatible with the at least one selected customized version; in response to the received request, generating a plurality of message components by combining the at least one selected customized version with the converted custom data; encoding the plurality of message components as the customized electronic mail message; and transmitting the customized electronic mail message to the client.

Generate a parent claim based on:

20. The system of claim 17 wherein: the memory is further configured to store a third data value associated with a third data field, a second formula defining a relationship between the first data field and the third data field; and the processor is further configured to apply the second formula to the first data value and the third data value for determining whether the second formula evaluates as true or not true, mark the first data field as unverified and the third data field as unverified when the second formula evaluates as not true, calculate a second determined value for the first data field using the second formula when the first data field is marked as unverified and when the first data field is marked as not uncertain and mark the first data field as uncertain when the second determined value for the first data field does not match the determined value for the first data field.

17. A system for verifying translation of text to a machine-readable format comprising: a memory configured to store a first data value associated with a first data field, a second data value associated with a second data field and a formula defining a relationship between the first data field and the second data field; and a processor configured to mark the first data field and the second data field as not uncertain, apply the formula to the first data value and the second data value for determining whether the formula evaluates as true or not true, mark the first data field as unverified and the second data field as unverified when the formula evaluates as not true, calculate a determined value for the first data field using the formula when the first data field is marked as unverified and when the first data field is marked as not uncertain and mark the first data field as uncertain when the determined value for the first data field does not match a previous determined value for the first data field.

Generate a parent claim based on:

24. The display apparatus of claim 14 , wherein the first text is determined by an analysis of meanings of the words included in the display item.

14. A display apparatus comprising: a display unit which displays a first display item; a text determination unit which extracts a first text from the first display item; a voice recognition unit which recognizes a voice input from a user; and a controller which: displays the first text so as to distinguish the first text from other texts, determines if the recognized voice input corresponds to the first text, and controls the display unit to select the first display item in response to a determination that the recognized voice input corresponds to the first text, wherein the voice input comprises a voice of the user speaking at least a word from the first text, and wherein the text determination unit extracts the first text comprising at least one word from the display item such that the first text does not share common words with a second text extracted from a second display item.

Generate a parent claim based on:

24. The system of claim 23 , wherein when the client terminal identifies to the system at least one document to retrieve from the ordered list, the system provides the at least one document to the client terminal.

23. The system of claim 22 , wherein the system outputs the ordered list to an associated client terminal.

Generate a child claim based on:

1. A method of providing search results and advertisements to a user, the method comprising: associating user preferences with the user; receiving a search request from the user; searching at least one database based on the search request and the user preferences to produce at least one search result; selecting at least one advertisement from an advertisement database based on the user preferences and the search request; providing the at least one search result and the at least one advertisement to the user; modifying the user preferences associated with the user based on the search request; receiving search refinement input from the user; producing at least one modified search result based on at least the search refinement input; updating the at least one advertisement selected from the advertisement database based at least in part on the modified user preferences and the search refinement input; and providing at least one of the at least one modified search result and the updated at least one advertisement to the user.

6. The method of claim 1 , wherein the user preferences comprise prior purchasing information associated with the user.

Generate a child claim based on:

15. A method using a document system comprising a computer with a processor for executing software instructions to perform the steps of document exchange directed to execution of a document, the method comprising comparing in an automated routine the image of a document returned by an individual on a routing list with a record of or an image of the document forwarded to the individual based on a request by an originator to confirm that the form of the returned document matches expected parameters corresponding to execution of the document, wherein the originator or the individual is notified if the form of the returned document does not match expected parameters.

16. The method of claim 15 wherein the document is returned by facsimile.

Generate a child claim based on:

15. The camera as claimed in claim 14 wherein the microcontroller further displays a pull-down menu, upon receiving any of the initial words or phrases, containing a subset of preprogrammed words or phrases that are voice commands pre-programmed in said microcontroller, and that are further descriptive of the initial set of words or phrases.

19. The camera as in claim 15 wherein the pull-down menu includes either annotation, functional or setting commands.

Generate a child claim based on:

10. An interactive television network comprising: a plurality of programming content, the plurality of programming content provided by a plurality of content from different providers, the plurality of programming content received from multiple video cameras positioned at different locations; at least one server at a production facility that receives the plurality of programming content from the Internet, wherein the production facility manipulates the programming content to create a viewer-customized production; first viewer input received from user computers that are remotely located from the production facility, the first viewer input submitted by multiple first viewers over the Internet to the server at the production facility, wherein the multiple first viewers vote on different portions of the programming content received from the multiple video cameras to select different portions of the programming content received from the multiple video cameras; wherein the multiple first viewers vote on different portions of the music to select desired music from different music from different providers, wherein the different music is composed by the different providers; different audio commentaries about the programming content from different providers, wherein the different audio commentaries represent different points of view; second viewer input that selects a desired commentary from the different audio commentaries, wherein the server is configured to combine the selected different portions of the programming content from the multiple video cameras and the desired music based on the first viewer input with the desired commentary based on the second viewer input , and wherein the viewer-customized production is viewed over the Internet by at least the second viewer; wherein the server is further configured to track usage of items included in the viewer-customized production, the items comprising the programming content and music selected with the first viewer input, and the desired commentary selected with the second viewer input; wherein the server is further configured to track which of the different providers provided the programming content, which of the different providers provided the desired commentary, and which of the different providers provided the desired music included in the viewer-customized production; and wherein the server is further configured to pay the different providers that provided the programming content, the desired music and the desired commentary a share of revenues associated with the viewer-customized production.

14. The network of claim 10 , wherein the second viewer comprises the production facility.

Generate a child claim based on:

8. A computer program product encoded on a non-transitory storage medium, the product comprising non-transitory, computer readable instructions for causing one or more processors to perform operations for managing display of content, the operations comprising: identifying a plurality of documents, for each document in the plurality of documents: determining a first topic associated with a first portion of the document based on extracting metadata associated with the document; determining a second, differing topic associated with a second, differing portion of the document based on textual content of the second portion; generating a first topic vector associated with the document based on the first and the second topics, the first topic vector indicating respective relations between the first and the second topics and the document; generating a second topic vector associated with one or more keywords associated with the user; determining a correlation between the document and one or more keywords based on a comparison of the first topic vector and the second topic vector; determining a time weight for the document, the time weight indicating an amount of time to display a portion of the document to the user through a GUI based at least in part on the correlation; displaying a particular portion of a first document of the plurality of documents to the user through the GUI for the respective determined amount of time; during the display of the particular portion of the first document, identifying a user interaction with the particular portion of the first document, and a particular topic associated with the particular portion of the first document, the particular topic being one of the first topic and the second topic, the user interaction including an adjustment to the determined amount of time of display of the particular portion of the first document; generating a user interaction topic vector based on the user interaction; identifying a second, differing document of the plurality of documents; comparing the user interaction topic vector with a topic vector associated with the second document; based on the comparing the user interaction topic vector with the topic vector associated with the second document, updating a time weight for a portion of the second document that is associated with the particular topic; and after displaying the particular portion of the first document, displaying the second document of the plurality of documents to the user through the GUI for the updated time weight.

13. The computer program product of claim 8 , wherein the property comprises at least one of a length of the document, a source of the document, an author of the document, or a priority status of the document.

Generate a child claim based on:

17. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a first channel of audio data corresponding to an utterance and a second channel of audio data corresponding to the utterance; generating, using a trained recurrent neural network, (i) a first set of filter parameters for a first filter based on the first channel of audio data and the second channel of audio data and (ii) a second set of filter parameters for a second filter based on the first channel of audio data and the second channel of audio data; generating a single combined channel of audio data by combining (i) audio data of the first channel that has been filtered using the first filter and (ii) audio data of the second channel that has been filtered using the second filter; inputting the audio data for the single combined channel to a neural network trained as an acoustic model; and providing a transcription for the utterance that is determined based at least on output that the neural network provides in response to receiving the audio data for the single combined channel.

19. The system of claim 17 , wherein the operations further comprise: convolving the audio data for the first channel with a first filter having the first set of filter parameters to generate first convolution outputs; convolving the audio data for the second channel with a second filter having the second set of filter parameters to generate second convolution outputs; combining the first convolution outputs and the second convolution outputs.

Generate a child claim based on:

10. The method of claim 9 , further comprising: determining, using the processor, whether less than a specified number of queries are needed to obtain the desired information; and wherein the set of constraints of the first query language comprises: forming one query of the at least one query of the first query language to obtain at least part of the at least part of the desired information only if: it is determined that more than the specified percentage of requested cells can be retrieved more efficiently using the first query language; and it is determined that less than a specified number of queries are needed to obtain the desired information.

11. The method of claim 10 , wherein the first query language is SQL.

Generate a parent claim based on:

2. The method of claim 1 , wherein the application comprises a Web-based application and the server comprises a Web server.

1. A computer-implemented method of running an application on a computing end device defining a host, the application being distributed from a server to the host, the method comprising: obtaining the application from the server; executing a multi-modal browser on the host to run the application, the application employing both text-to-speech (TTS) processing and automatic speech recognition (ASR) processing; analyzing, by the host, an instruction in the application that instructs the host to perform the TTS processing and/or ASR processing locally or remotely; determining, by the host, whether the host is capable of performing the TTS processing and/or ASR processing in accordance with the instruction, wherein: if the instruction instructs the host to perform the TTS processing and the ASR processing locally, determining, by the host, whether the host supports performing the TTS processing and the ASR processing locally, and if the instruction instructs the host to perform the TTS processing locally and the ASR processing remotely, determining, by the host, whether the host supports performing the TTS processing locally and the ASR processing remotely; if the host is capable of performing the TTS processing and/or ASR processing in accordance with the instruction, executing the application using the TTS processing and/or the ASR processing in accordance with the instruction; and generating an error indication if the host is not capable of performing the TTS processing and/or ASR processing in accordance with the instruction.

Generate a child claim based on:

1. A computer implemented method of producing personalized documents comprising: inputting handwritten alphanumeric characters; using the computer to map the inputted characters into at least one set of text characters, wherein the mapping is done by converting the inputted alphanumeric characters into mathematical functions approximating a shape of each inputted alphanumeric character; entering a textural document into the computer; transcribing the textural document into a set of text characters corresponding to the inputted alphanumeric characters; and printing the transcribed textural document.

4. The method of claim 1 wherein the set of text characters is a standard English set of ASCII characters.

Generate a parent claim based on:

5. The apparatus according to claim 1 , wherein said communication network comprises a type of network or a combination of two or more types of networks selected from the group consisting of wired network, cable network, wireless network, cellular network, telephone network, satellite network and television network.

1. An apparatus for interactively communicating with an individual regarding health related information, the apparatus comprising: a first communication interface to communicate with a monitoring device, wherein said monitoring device is configured to (i) produce physiological information regarding said individual, and (ii) transmit said physiological information to said apparatus; a second communication interface to (i) receive programming information from a server via a communication network, and (ii) transmit said physiological information from said apparatus to said server via said communication network, wherein said programming information comprises at least one of (a) a query, (b) a message corresponding to said individual from a health care professional associated with said individual, (c) a computer program customized using personal data relating to said individual, and (d) information specific to said individual; a display for presenting one or more of said query, said message, and said information to said individual; and a user interface for said individual to provide responses to said query, said message, or said information presented on said display; wherein (i) said responses are transmitted to said server through said communication network, (ii) said server assigns said programming information to said individual based upon input from said health care professional associated with said individual, and (iii) said programming information is related to a health condition of the individual, (iv) said apparatus is remotely situated from said server, (v) said programming information is presented to said individual by executing said computer program on said apparatus and (vi) said computer program comprises a custom script program (a) designed specifically for said individual, (b) associated with said individual by a unique identification code, and (c) configured to control said monitoring device.

Generate a parent claim based on:

8. The method of claim 4 , wherein the repository is an electronic repository of an electronic commerce system.

4. A method comprising: determining, via the at least one computing device, that a degree of behavioral association between at least one search term and an item exceeds a threshold; determining, via the at least one computing device, that a search of a repository for the at least one search term surfaces the item at a position less relevant than a plurality of initial search results; and in response to determining that the degree of behavioral association between the at least one search term and the item exceeds the threshold and determining that the search surfaces the item at the position less relevant than the plurality of initial search results, determining that the at least one search term is excluded from product data associated with the item; and in response to determining that the at least one search term is excluded from product data associated with the item, taking, via the at least one computing device, at least one remedial measure comprising adding the at least one search term to the product data.

Generate a parent claim based on:

5. The image reading apparatus according to claim 4 , wherein the second rib portion is continuous with the first rib portion.

4. The image reading apparatus according to claim 3 , wherein the frame member of the main unit has a curved surface connecting the first surface and the second surface, and wherein the protrusion includes a second rib portion formed on the curved surface of the frame member.

Generate a child claim based on:

1. A method, comprising: issuing a first command, via a reusable dialog component, to a data access service to retrieve data from at least one back-end data source, the format of the first command being independent of the at least one back-end data source; retrieving the data, via the data access service, from the at least one back-end data source by using a second command that is selected based, at least in part, on the first command and the at least one back-end data source; storing the data, via the data access service, in a data structure in a data structure format that is independent of the at least one back-end data source; building a grammar based on the data structure using, at least in part, a dynamic grammar builder; and loading the grammar into a first voice application in a manner enabling its use by the reusable dialog component, the reusable dialog component defining an interaction sequence between the first voice application and a user of the first voice application, the reusable dialog component being adapted for use in at least one voice application other than the first voice application.

2. The method of claim 1 , wherein storing the data in the data structure comprises the data access service populating a data graph based on the data.

Generate a child claim based on:

7. A non-transitory computer readable medium including instructions stored thereon that when processed by at least one processor cause a semantic rule verifying system to perform acts of: receiving, by a semantic rule verifying system, a semantic rule associated with the semantic data as input, wherein the semantic rule verifying system comprises a processor, a memory, a natural language interpretation module, and a visual user interface; determining, by the semantic rule verifying system, a natural language interpretation corresponding to the input semantic rule based on a predetermined semantic rule structure, wherein the predetermined semantic rule structure for each semantic rule comprises: one or more unique variable name information, one or more nodes corresponding to antecedent and consequent clauses of the semantic rule, node information associated with the one or more nodes, and edge information associated with one or more edges representing the relationship between the one or more nodes; receiving, by a visual user interface of the semantic rule verifying system, a plurality of user actions to modify the natural language interpretation, wherein the plurality of user actions further comprises receiving modifications on one or more sub-clauses of the natural language interpretation performed by the user; identifying one or more edges corresponding to the one or more modified sub-clauses of the natural language interpretation and deriving one or more input edge identification information of the one or more identified edges; mapping the edge identification information stored in the predetermined semantic rule structure with the derived edge identification information associated with the one or more identified edges; modifying the edge information associated with the one or more identified edges and updating the predetermined semantic rule structure based on the mapping and the modification of the one or more modified sub-clauses; generating, by the semantic rule verifying system, a modified natural language interpretation and a modified semantic rule based on the plurality of user actions and the updated predetermined semantic rule structure; executing, by a processor, the modified semantic rule on semantic the data; and displaying, by the visual user interface, one ore more results of the execution.

12. The medium of claim 7 , wherein the plurality of user actions comprise user inputs into web browsers.

Generate a parent claim based on:

12. The system of claim 8 , wherein the hardware processor is further configured to: query a database of keywords associated with a plurality of programs for keywords associated with the program; and receive keywords associated with the program from the database of keywords in response to the database query.

8. A system for presenting search results, the system comprising: a hardware processor programmed to: receive, from a computing device, a user-generated query input; compose a query that includes a plurality of query terms based on the user-generated query input, wherein the plurality of query terms includes a question term; determine whether the query is a time-sensitive query type that corresponds to a program that is currently being presented by a media playback device that is connected to the computing device over a communications network based on the plurality of query terms, contextual information associated with the query, and an application that received the user-generated query input; in response to determining that the query is the time-sensitive query type that corresponds to the program that is currently being presented by the media playback device: capture media data corresponding to the program that is currently being presented by the media playback device; identify, in response to determining that the query is the time-sensitive query type, a portion of the program that is currently being presented by the media playback device based on the received media data, wherein the portion is a program segment presented by the media playback device at a time corresponding to when the user-generated query input was received by the computing device; identify a plurality of keywords associated with the identified portion of the program; determine that at least one keyword from the plurality of keywords is contextually relevant based on an entity type associated with the at least one keyword being responsive to the question term included in the user-generated query; and obtain a plurality of search results responsive to the query and the at least one keyword that is determined to be contextually relevant to the question term included in the user-generated query; and cause at least one of the plurality of search results to be presented to the user on a display of the computing device.

Generate a parent claim based on:

2. The method of claim 1 , wherein identifying a range of taxonomy layers comprises: identifying a first taxonomy layer having a measure of intra-cluster homogeneity that satisfies a second predetermined condition as a lower bound of the range; and identifying a second taxonomy layer having a measure of intra-cluster homogeneity that satisfies a third predetermined condition as an upper bound of the range.

1. A computerized method of representing a dataset with an optimal layer of a taxonomy, comprising: obtaining a taxonomy including a hierarchical arrangement of layers, wherein each layer represents a cluster set containing at least one cluster, wherein each cluster represents at least one record within a dataset; identifying a range of taxonomy layers based on a measure of intra-cluster homogeneity of each cluster within the taxonomy; selecting a taxonomy layer within the identified range as an optimal layer of the taxonomy, the selecting being based on a measure of inter-cluster heterogeneity between clusters of a taxonomy layer within the identified range; and labeling clusters within the optimal layer of the taxonomy; wherein selecting a taxonomy layer within the identified range as an optimal layer of the taxonomy comprises: marking all taxonomy layers within the identified range having a measure of inter-cluster heterogeneity that satisfies a first predetermined condition; selecting a marked taxonomy layer closest to a lower bound of the identified range; and wherein the computerized method of representing a dataset with a taxonomy occurs within a physical computer.

Generate a child claim based on:

22. The system of claim 14 , wherein generating word hypotheses utilizes the non-native acoustic model, a dictionary that maps pronunciations to words, and a language model that identifies a likelihood that a word will follow a sequence of already hypothesized words in a speech recording.

23. The system of claim 22 , wherein the language model is an n-gram language model.

Generate a child claim based on:

22. An in-vehicle system comprising: at least a first console adapted to be operated by a first user; at least a second console adapted to be operated by a second user; and a speech processor to receive and process speech requests from the first and second consoles, wherein the in-vehicle system is configured to service speech requests received simultaneously at the first console and the second console, wherein the speech processor is configured to: process a first speech processing request received from the first console and send a first result to the first console, the first result being responsive to the first speech processing request; and process a second speech processing request received from the second console and send a second result to the second console, the second result being responsive to the second speech processing request; and wherein the first console and the second console each is configured to run at least one speech-enabled application.

23. The in-vehicle system of claim 22 , wherein the at least one speech-enabled application is selected from a group consisting of: a web browser, a movie player, and a video game.

Generate a parent claim based on:

17. The method of claim 1 , wherein the set of search statistics indicates levels of search activities of a plurality of search terms.

1. A method, comprising: receiving, by a computing device, a request from a user; identifying, by the computing device, a set of search statistics according to the request from the user, the set of search statistics related to search activities comprising one or more search terms; identifying, by the computing device, a set of financial transaction based statistics corresponding to the set of search statistics, the set of financial transaction based statistics relating the search activities and their impact on purchases; and juxtaposing, by the computing device, the set of search statistics with the set of financial transaction based statistics to generate a response to the request from the user.

Generate a parent claim based on:

2. A system according to claim 1 , further comprising: a similarity module to determine a similarity between each candidate seed document and each of the one or more cluster centers based on the comparison.

1. A system for scoring concepts in a document set, comprising: a database to maintain a set of documents; a concept identification module to identify concepts comprising two or more terms extracted from the document set and to designate each document having one or more of the concepts as a candidate seed document; a value module to determine for each of the concepts identified within each candidate seed document, values for a frequency of occurrence of that concept within that candidate seed document, a concept weight reflecting a specificity of meaning for that concept within that candidate seed document, a structural weight reflecting a degree of significance based on a location of that concept within that candidate seed document, and a corpus weight inversely weighing a reference count of the occurrence for that concept within the document set according to the equation: r ⁢ ⁢ w ij = { ( T - r ij T ) 2 , r ij > M 1.0 , r ij ≤ M where rw ij comprises the corpus weight, r ij comprises the reference count for the occurrence j for that concept i, T comprises a total number of reference counts of the documents in the document set, and M comprises a maximum reference count of the documents in the document set; a scoring module to calculate a score for each concept as a function of summation of the values for each of the frequency of occurrence, concept weight, structural weight, and corpus weight; a vector module to form a vector for each candidate seed document comprising the concepts located in that candidate seed document and the associated concept scores based on the frequency of occurrence, concept weight, structural weight, and corpus weight; a document comparison module to compare the vector for each candidate seed document with a center of one or more clusters each comprising thematically-related documents and to select at least one of the candidate seed documents that is sufficiently distinct from the other candidate seed documents as a seed document for a new cluster; and a clustering module to place each of the unselected candidate seed documents into one of the clusters having a most similar cluster center.

Generate a child claim based on:

37. An automated digitizing system comprising computer hardware, software and peripherals configured to route information identified by content instructions in a document file on a computer to a potential plurality of application programs according to customizable transmission format instructions, said transmission format instructions being customized to requirements of each application program receiving said information.

38. A system as claimed in claim 37 , in which at least one of said application programs is a digital archiving program.

Generate a child claim based on:

11. The word processing system of claim 9, further including blanking means initializing said correction buffer to a predetermined series of blank bytes as said cleared state, and blank byte detecting means; and wherein said predefined relative position for storing said respective frequency-of-use count element associated with each differentiable word upon a first reading thereof in said text is a first one of said blank bytes found by said detecting means following all words currently stored in said correction buffer, said further predefined relative position for storing said word-length value is a next one of the blank bytes, sand said characters follow in successive bytes thereafter.

12. The word processing system of claim 11, further including an adder and wherein said address means for locating discrete bytes of said correction buffer comprise a pointer cooperating selectively with said incrementing means and with said adder for summing an address in said pointer with said word-length value in the byte adjoining the frequency-of-use count element.

Generate a child claim based on:

42. A computing device for selecting information to provide to users based on reputations of evaluators of the information, comprising: one or more processors; a content rater component configured to, when executed by at least one of the one or more processors: receive from a reviewer user a review related to an item available from a Web merchant; receive evaluations of the review from each of multiple evaluator users, each received evaluation including a quantitative assessment of contents of the review for each of one or more of multiple content rating dimensions available for use in assessing the review, each of the evaluator users having a single existing reputation weight for the Web merchant based at least in part on previous evaluations supplied by that evaluator user for multiple other reviews for items available from the Web merchant; and automatically generate at least one aggregate assessment of the content of the review based at least in part on combining quantitative assessments from the received evaluations for the review, one or more of the generated aggregate assessments being further based on the single existing reputation weights of the evaluator users in such a manner that a first quantitative assessment from a first evaluator user with a first reputation weight has a different impact on that generated aggregate assessment than that first quantitative assessment from a distinct second evaluator user with a distinct second reputation weight; an evaluator reputation assessor component configured to automatically update the single existing reputation weights for each of one or more of the evaluator users for the Web merchant based on a relationship of the quantitative assessments from the evaluation of that evaluator user to the quantitative assessments from the evaluations of other of the evaluator users; and a content manager system configured to, when executed by at least one of the one or more processors, determine whether to provide the review to another user based at least in part on one or more of the automatically generated aggregate assessments for the content of the review.

48. The computing device of claim 42 wherein each of the received evaluations include quantitative assessments of the contents of the review for each of the multiple available content rating dimensions.

Generate a parent claim based on:

10. The system of claim 1 , wherein the playable media objects comprise at least one of video content, textual content, image content, and audio content.

1. A system for returning a list of playable media objects to a user, the system comprising: a server configured to receive a search query object from the user; a non-transitory computer-readable storage medium storing a plurality of executable modules; wherein the plurality of executable modules comprises a first executable module that, when executed by a processor of the server, is configured to: identify additional terms related to the search query object by providing the search query object to at least one internet search engine and processing results returned by the internet search engine, wherein processing includes: receiving a page identified in the result returned by the internet search engine, parsing the received page to identify a plurality of sections in the page, extracting terms from each section of the plurality of sections, scoring each of the plurality of sections based at least in part on the respective extracted terms to generate a plurality of scores, and selecting additional terms from a subset of the plurality of sections based at least in part on the plurality of scores; and wherein the plurality of executable modules further comprises a second executable module that, when executed by the processor of the server, is configured to query one or more media storage web sites based on the identified additional terms to obtain a list of playable media objects stored on the one or more media storage web sites.

Generate a child claim based on:

20. The article of manufacture of claim 17 , further comprising program instructions for causing the computer to update the at least one back-end data source based on the first command.

21. The article of manufacture of claim 20 , further comprising program instructions for causing the computer to generate an attribute and a class representative of logic for the update of the at least one back-end data source.

Generate a parent claim based on:

20. The method of claim 3 , wherein the internet based indexing program comprises a plurality of programs and wherein the method is performed for each of said programs.

3. The method of claim 1 , wherein said analyzing said response according to said supervised training procedure comprises receiving a plurality of returned mark-up language documents, including the initial mark-up language document, and a relative rank of each returned mark-up language document; determining a relative rank of the initial mark-up language document with regard to said plurality of returned mark-up language documents; and analyzing at least one feature of the initial mark-up language document in comparison to said plurality of returned mark-up language documents and said relative rank of the initial mark-up language document.

Generate a child claim based on:

1. A computer-based engineering knowledge acquisition system, comprising: a digital processor supporting a user-interactive training material associated with a respective domain that includes at least one diagram; a display monitor coupled to the processor and rendering to an acquirer-user at least one screen view of the user-interactive training material, the at least one screen view having any of text and graphics in a certain locational arrangement relative to graphical content; and an eye-tracking member coupled to the processor, the eye-tracking member (i) tracking eye movement of the acquirer-user viewing the at least one screen view, and (ii) detecting eye traces of the acquirer-user for the at least one screen view; in response to the detected eye traces, the processor generating a summary of knowledge acquisition patterns of the acquirer-user and assessing whether the acquirer-user has missed viewing one or more regions of the at least one diagram; and a rules engine coupled to the processor, the rules engine performing an evaluation of the acquirer-user's viewing of the at least one screen view based upon the detected eye traces and the generated summary of knowledge acquisition patterns, and the rules engine providing one or more metrics as real-time feedback to a user, the processor comparing the detected eye traces of the acquirer-user to an optimal (learning) acquisition pattern predefined for the at least one screen view, and based on the comparison, the processor determining need to assist the acquirer-user with one or more of the text content and the graphical content of the at least one screen view, and the processor providing a tutorial supplement to the acquirer-user, wherein the display monitor further displays the tutorial supplement at least in the at least one screen view.

24. The system of claim 1 , further comprising the processor ensuring that the acquirer-user has performed at least one of viewing and reading salient portions of at least one of the text content and the graphical content as prescribed by an instructor.

Generate a parent claim based on:

19. The system as claimed in claim 16 , wherein said survey forms types comprises of major taxonomy wise survey forms, user's personal information survey forms, Human Service Network system and Human Operating System related survey forms, private or advertisement and ecommerce related survey forms and customized survey forms.

16. A system for dynamically generating a survey result(s) comprising: a profile management module configured to store and manage each registered user's one or more profile(s), preferences and relational connections or dynamic relationships at a central server; a Human Operating System (HOS) configured for each user to manage plurality of activities, profiles, applications, services, actions, transactions, groups, search, share, communication, contents and connections; a communication interface configured to present one or more domain or subject or taxonomy specific survey forms to user and to receive, via categories survey forms, a plurality of categories survey data or selections from the user, wherein survey data or selections relate or map, for each of plurality of different categories of user data for sharing with one or more other connected users who can access that category of user data and customization, personalization and configuration data utilize for customization of user's Human Operating System (HOS) including dynamically create one or more social networks, establishing communication and share selective one or more user resources or profiles with one or more other connected users, customize search and match, e-commerce, receive customized advertisements, applications and services lists and contents; a user profile management module, coupled to the communication interface, configured to update survey data and survey analysis to the related categories profile(s) of the user to apply or use the survey data for customization, personalization and configuration of each user's Human Operating System (HOS); and a survey results engine, coupled to the user profile management module, configured to generate and present a survey results to the user, wherein survey results comprises a details of customization, personalization and configuration of each user's Human Operating System (HOS) and which other connected users can access which categories of user data based on the survey data or selections.

Generate a child claim based on:

12. A system for providing assistance, by a multi-function device (MFD), for document preparation, said system comprising: one or more processors in said MFD configured to: process one or more portions for one or more field names in an electronic document, wherein said electronic document corresponds to a hand-filled document comprising a character string in a first format for a field name of said one or more field names in said hand-filled document, wherein said one or more portions are extracted from said electronic document to determine a second format and a location of said character string in said electronic document, wherein said extraction of said one or more portions from said electronic document is based on a user input that indicates a first ink color of said character string, wherein said first ink color of said character string in said electronic document is different from a second ink color of said one or more field names of said electronic document; receive a set of information in a pre-specified format for said one or more field names from a user-computing device over a communication network, wherein said set of information comprises at least a plurality of key strings and corresponding values; determine a field value for each processed portion in said electronic document based on a match between said character string in said second format and at least one of said plurality of key strings associated with field names in said received set of information; and update said electronic document based on replacement of said processed portion in said electronic document for each of said one or more field names with a corresponding determined field value at said location.

20. The system of claim 12 , wherein said set of information further comprises a plurality of field names, wherein each of said plurality of field names is associated with a corresponding key string of said plurality of key strings, wherein each key string of said plurality of key strings has a corresponding value.

Generate a parent claim based on:

11. The method of claim 2 , wherein the explicit actions comprise actions that are viewable by the first user.

2. A computer-implemented method for providing effectiveness indications for social networking activity, the method comprising: identifying a social networking activity performed in connection with a profile associated with a first user; identifying a plurality of actions performed with respect to the social networking activity by one or more other users exposed to the social networking activity, wherein the plurality of actions include explicit actions and implicit actions; for each of the plurality of actions, determining a total number of unique users performing the action; and calculating an activity score for the social networking activity based on the determined number of users performing each of the plurality of actions.

Generate a parent claim based on:

19. The system of claim 18 , wherein the determining of the datastore is further based on time estimates.

18. The system of claim 14 , wherein the processor is further configured to: determine the datastore of the plurality of datastores, based at least partly on data retrieval latency information for the datastore, and on the storage metadata indicating that data for the at least one data attribute identified by the normalized attribute identifiers is stored in the datastore, the determining of the datastore further based on data quality information indicating a quality of the data stored in the datastore.

Generate a parent claim based on:

10. The terminal according to claim 7 , wherein: said display device has a plurality of display areas including a first area, a second area, and a third area; said terminal further comprising means for causing said display device to show said result of recognition on said first area, said prescribed data processing including performing automatic translation of said utterance into a language different from a language of said utterance and synthesizing a speech sound signal representing a result of said translation, said process result of said data processing including the speech sound signal synthesized by said speech processing server; said terminal further comprising: translation result display means connected to receive said process result of said data processing, for causing said display device to show at least said result of said translation in said result of said data processing on said second area; and utterance candidate recommend list display means for causing said display device to show said utterance candidate recommend list on said third area.

7. A terminal, comprising: a microphone; a set of sensors for collecting pieces of information related to surrounding environment; a display device; a communication device; and utterance information transmitting means, connected to said microphone, said set of sensors and said communication device, for transmitting utterance information containing a speech signal obtained from a signal output by said microphone upon reception of an utterance and pieces of information obtained from said set of sensors when said speech signal is obtained, to a prescribed speech processing server through said communication device, and for requesting speech recognition and a prescribed data processing on a result of recognition; further comprising: process result presenting means, connected to said communication device, for receiving a process result of said data processing transmitted from said speech processing server in response to said request, and for presenting the process result to a user; and utterance candidate recommendation list display means, receiving an utterance candidate recommendation list recommended as a plurality of utterance candidates from said speech processing server and displaying the list on said display device, and thereby for recommending utterance candidates to said user.

Generate a child claim based on:

15. A method for communicating between iframes, comprising: instantiating two or more iframes within a browser application running on a computing device; loading scripts containing structured control flow of a scripting language into two or more of the iframes; generating one or more type-checked interfaces in each iframe from one or more pre-defined proxy stubs for use in processing any serialized text message received from any other iframe; transforming at least a portion of the scripts loaded into one or more of the iframes to cause the transformed scripts within those iframes to generate one or more annotated serialized text messages representing corresponding structured control flow when the transformed scripts initiate corresponding actions within those iframes; transmitting each annotated serialized text message from its corresponding iframe to one or more of the other iframes via a browser postMessage channel; and within any iframe receiving any annotated serialized text message from any other iframe, deserializing that message and converting it back into the corresponding structured control flow for execution within the receiving iframe.

19. The method of claim 15 wherein each annotated serialized text message further includes information for automatically performing a deterministic dispose of resources associated with any corresponding structured control flow when those resources are no longer being used by any of the iframes.

Generate a parent claim based on:

12. A method according to claim 9 , wherein said providing the page address comprises retrieving information about a site from a location, and comprising updating of said information by an operator of said site.

9. A method of WWW page retrieval from a web site, comprising: receiving information associated with content of a web site, wherein said received information is not a WWW address and comprises characters typed for entry by a user into a URL entry field in a browser operable on an electronic device having web browsing capabilities, in which a standard URL address would be entered; said information being received by a software not associated with said site; analyzing said information to correct spelling in said information to a spelling-corrected input; providing a page address of a page of said site, responsive to said spelling corrected input, by said software; sending the page address to the browser for retrieving said page responsive to said page address; and thereby causing said page to be directly displayed to the user using the browser, without any additional user intervention beyond the entry of said information, wherein said page address is determined using a database of associations, said database is at least logically associated with a particular user, and said database includes user information regarding a particular user, which user information is entered by said user, which page is selected for display responsive to said user information and wherein said database is stored at a location remote from where said information received by said software is entered by the user for display of said page.

Generate a child claim based on:

6. One or more computer-readable media storing computer-executable instructions that, when executed on one or more processors, cause the one or more processors to perform acts comprising: selecting a first set of elements from a group of elements for labeling by one or more human users; receiving a label for each element of the first set of elements from the one or more human users; determining a sample selection bias of the first set of elements; and training a model for predicting labels for each element of the group of elements, the training based at least in part on the labels and on the sample selection bias.

9. One or more computer-readable media as recited in claim 6 , wherein the elements of the group of elements comprise images, documents, audio files, video files, or search queries.

Generate a parent claim based on:

19. The method of claim 11 , further comprising receiving student learning data include data indicative of an activity accessed by the students in a computer based learning environment.

11. A method for analyzing student performance and learning activity in a learning environment, the method comprising: receiving, with a learning analysis system including at least one electronic computer processor, input data based on interaction, by students, with the learning analysis system, wherein the input data comprises clickstream data; calculating the following: (a) student-learning data based on the clickstream data, wherein the student learning data is associated with the students performing at least one activity in the learning environment, (b) knowledge component model data based on the clickstream data, wherein the knowledge component model data comprises a mapping of at least one knowledge component to at least one activity to be performed by the student in the learning environment; generating, with an inference engine of the learning analysis system, in association with the student-learning data and the knowledge component model data, a statistical probability distribution or a point estimate for at least the following components of a statistical model: (a) a learning state parameter representing a level of learning the student has attained for at least one knowledge component, wherein the at least one knowledge component comprises a predetermined number of skills, facts, concepts, strategies, or relationships regarding subject matter within a learning domain and is specific to an individual student, (b) a skill dynamics parameter representing a relationship between practice and the learning state parameter for the at least one knowledge component, wherein the skill dynamics parameter is specific to an individual knowledge component, and (c) a variability parameter representing variability in the learning state parameter and the skill dynamics parameter across the students; and providing, via a monitor, a screen display that displays a plurality of learning objectives, wherein at least one of the plurality of learning objectives provides an interactive link in the screen display that, when activated by a user, causes the monitor to display a graphical representation of a student learning and performance based on the statistical model; wherein the graphical representation of the at least one student learning and performance comprises information illustrating at least one of the following: which knowledge component of a plurality of knowledge components were not well learned across the students; which students achieved comparatively lower levels of learning for a given learning objective; and which learning objective had not been practiced sufficiently.

Generate a parent claim based on:

17. The method of claim 15 , wherein the delimiter comprises a sequence of two or more characters and the sequence of two or more characters is not present in any of the two or more strings that were concatenated.

15. The method of claim 11 , wherein the slug comprises a concatenation of two or more strings separated by a delimiter between each concatenated string.

Generate a child claim based on:

1. A method comprising: receiving a content asset; determining that the content asset comprises one or more triggers, wherein the one or more triggers are associated with a command for a voice activated device; inserting a signal marker of a plurality of signal markers in the content asset at a location corresponding to the one or more triggers; and transmitting the content asset with the signal marker, wherein the plurality of signal markers comprises a first signal marker configured to cause a device to ignore the one or more triggers for a first time duration and a second signal marker configured to cause the device to ignore the one or more triggers for a second time duration.

2. The method of claim 1 , wherein inserting the signal marker in the content asset comprises inserting, at a time of recording the content asset, the signal marker in the content asset.

Generate a parent claim based on:

19. The non-transitory computer-readable medium of claim 18 further comprises displaying the at least one pair of corresponding sentences in different languages such that a sentence in the source language is substantially aligned with a sentence in the target language.

18. A non-transitory computer-readable medium having stored thereon a sequences of instructions which when executed by a user computer device causes the user computer device to perform a method, comprising: performing a first search of at least one first source for information responsive to the query, the query comprising a dictionary lookup of a word or a phrase; displaying a result of the first search; searching documents using at least a part of the result of the first search, the documents including parallel corpora; as a result of the searching, displaying a plurality of translation variants from the parallel corpora from the searched documents; receiving a selection of one of the plurality of translation variants; displaying at least one example of usage of the selected one of the plurality of translation variants, the at least one example of usage including parallel sentences comprising at least one pair of corresponding sentences in a source language and a target language selected from previously-translated texts wherein one sentence includes the word or phrase looked up in the dictionary and the other includes its translation in the target language, and each example of usage is a different sentence in the source language translated into the same target language; performing a second search of at least one second source for information responsive to the query; and displaying a result of said second search.

Generate a parent claim based on:

22. The non-transitory computer readable medium of claim 21 , wherein determining one or more name proposals for the phrase using the mappings further comprises: identifying mappings for adjacent non-overlapping tokens for the phrase; and determining the one or more name proposals from the identified mappings for the adjacent non-overlapping tokens.

21. A non-transitory computer readable medium including code that when executed by a computer system performs a method of assigning content with an entry in a directory, the method comprising: receiving content; parsing the content into text phrases; determining mappings between each entry in the directory and information in name fields of the directory; for each phrase, determining one or more name proposals for the phrase using the mappings, wherein each name proposal identifies a potential match between the content and one or more entries in the directory; and assigning the content to an entry in the directory associated with a name proposal of the one or more name proposals, wherein determining one or more name proposals for the phrase using the mappings comprises: parsing each phrase into tokens, wherein the tokens in the phrase are identified in a window having a size approximated by a size of a largest name; and determining the one or more name proposals for the tokens.

Generate a parent claim based on:

2. The recognition apparatus according to claim 1 , wherein the extraction of the object candidate regions is performed on a basis of one of criteria.

1. A recognition apparatus comprising: one or more non-transitory computer-readable storage devices; and one or more computer processing devices connected to the one or more non-transitory computer-readable storage devices and configured by one or more programs stored in the one or more non-transitory computer-readable storage devices at least to: extract object candidate regions from an image; extract a first feature value and a second feature value from each of the extracted object candidate regions, the first feature value being a value used for determining an attribute of the image, the second feature value being a value different from the first feature value and used for determining whether the object candidate region is a region showing an object included in the image or not; determine the attribute of the image for each of the extracted object candidate regions on a basis of the first feature value, and determine whether the extracted object candidate region is a region showing the object or not each on a basis of the second feature value; and identify the attribute of the image by integrating determination results regarding the attribute of the image in, among the object candidate regions, object candidate regions determined each as a region showing the object.

Generate a child claim based on:

1. A system for grafting cluster spines, further comprising: a concept generator to form one or more concepts and to assign at least one of the concepts to each cluster in a set; a concept selection module to select those concepts that are located in a center of one such cluster; a cluster spine module to form a group of cluster spines based on the selected clusters that share at least one concept; a spine identification module to identify those cluster spines that are unique and to arrange the unique cluster spines in a display; a cluster graft module to graft at least one of the spines remaining in the group onto one of the unique spines in the display; and a spine placement module to place those remaining cluster spines that are not grafted to one of the unique cluster spines adjacent to one of the cluster spines in the display that is most similar.

2. A system according to claim 1 , further comprising: a spine concept module to designate the shared cluster concepts as spine concepts for that cluster spine and to generate a spine concept score vector for each cluster spine based on the spine concepts for that cluster spine.

Generate a child claim based on:

17. The system of claim 16 , wherein the behavioral information includes a time of one or more previous visits in a domain that includes the requested web page, a time that the web page was last requested, a number of visits in the domain, a number of times that the object has been presented, and a number of times that the object has been selected.

19. The system of claim 17 , wherein the behavioral information is stored in a cookie.

Generate a parent claim based on:

5. The method of claim 1 , wherein locking each ride intent object is implemented in a database.

1. A method comprising: dividing a plurality of ride intent objects into candidate sets, wherein: each ride intent object defines ride preferences of a respective car pool user; and each candidate set is associated with a respective ride matcher object that specifies a plurality of ride preferences that ride intent objects in the candidate set must include, the plurality of ride preferences forming a subset of less than all the ride preferences of any particular ride intent object in the candidate set; locking the ride intent objects such that only a ride matcher object associated with a candidate set containing a particular ride intent object can perform matching on the particular ride intent object while the particular ride intent object remains locked, wherein unlocked ride intent objects are available for matching by any ride matcher object, and wherein the same ride preference is specified by at least some of the ride matcher objects; matching, by each ride matcher object and based on ride preference values, ride intent objects in a respective candidate set to other ride intent objects in the same candidate set; identifying, based on ride preference value, a plurality of ride preferences in a first ride intent object that match a corresponding plurality of ride preferences in a second ride intent object, wherein ride preferences are determined to match when: there is an exact match between respective values of a first of at least two ride preferences for the first ride intent object and the second ride intent object; and respective values of a second of the at least two ride preferences for the first and the second ride intent objects are within a predetermined threshold of similarity; assigning different weights to corresponding ride preferences in each ride intent object; calculating a sum of the weights associated with the matching ride preferences; determining that the first ride intent object matches the second ride intent object when the sum of the weights exceeds a predetermined weight threshold; and grouping the plurality of ride intent objects into a plurality of ride intent sets based on the matching, wherein each ride intent set is a subset of a respective candidate set that contains the ride intent objects of the ride intent set.