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16. The method of claim 1 , further comprising: identifying, by the one or more physical processors, one or more requests associated with the second natural language utterance, wherein determining the promotional content comprises obtaining the promotional content based on a determination that the promotional content relates to the one or more requests.

17. The method of claim 16 , further comprising: determining, by the one or more physical processors, one or more activities in the one or more requests; and performing, by the one or more physical processors, the one or more activities, wherein determining the promotional content comprises determining the promotional content based on the one or more activities.

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1. A method for analysis of a computer-based and data-processing model of a complex system, wherein the model comprises at least two modelling levels, on which the complex system is represented with different degrees of abstraction, and the analysis method comprises the following steps: creating a first part model of the complex system on a first modelling level by defining objects and links between these objects; creating a second part model of the complex system on a second modelling level by defining of objects and links between these objects; creating associations or relations between objects of the first and the second modelling level; creating at least one first event chain which represents an action sequence in the first modelling level and describes the action sequence by way of the objects of the first modelling level, wherein the action sequence is a sequence of actions in the complex system; creating at least one second event chain which represents the same action sequence in the complex system in the second modelling level and describes the action sequence by way of the objects of the second modelling level at a different degree of detail than at the first modelling level; as well as at least one of the following two steps performed by a data processor: automatically analysing the part models and associations and event chains set up according to the preceding steps, for determining and issuing quality information on the model itself, by determining consistency information concerning agreements and contradictions between the models on the two modelling levels, automatically analysing the part models and associations and event chains created according to the preceding steps, for obtaining information on the modelled complex system and for issuing this information, wherein the associations between the first and the second modelling level represent a partial support of the objects of the first modelling level by the objects of the second modelling level; and wherein at least a few objects on the first modelling level represent processes, wherein a process is an entirety of tasks and sequences of an organisation unit or production unit, and wherein at least some objects on the second modelling level represent elements, wherein an element is a real physical or logical unit, and wherein the support of the process by an element expresses the fact that the process requires the element in order to be able to function.

14. The method according to claim 1 , comprising the step of using objects for representing products which are displaced between processes, between elements and/or along event chains.

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15. A terminal that displays an available character capacity in a character entry window, comprising: an input unit for entering characters; a display that displays the character entry window; a controller that calculates the available character capacity and available character capacity percentage based on characters entered by a user, controls the display to display the entered characters in the character entry window, and controls the display to display an indication of the available character capacity at a position in the character entry window adjacent to a last character entered by the user when the available character capacity percentage is between a first value and a second value, and to automatically change the position of the displayed indication of the available character capacity to a new corresponding position for each of a plurality of additional characters entered by the user, wherein the controller changes the color of the indication of the available character capacity when the available character capacity percentage is between the second value and a third value, wherein the second value is less than the first value and the second value is greater than the third value, and the controller changes a display type of the indication of the available character capacity from a number to a text when the available character capacity percentage is zero.

18. The terminal according to claim 15 , wherein when a message is more than one page, the controller displays the indication of the available character capacity based on the available character capacity percentage of the currently displayed page.

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31. A computer implemented method for processing database content, the method comprising the steps of: receiving one or more data objects associated with a database at one or more remote computers; parsing one or more source documents to identify at least one term based on one or more predetermined rules; identifying content for the at least one term; linking the content with the at least one term; and automatically associating the at least one term in the one or more source documents with at least one link; wherein the at least one link denotes an association between the at least one term and the linked content; wherein the one or more data objects associated with the database provide a representation of at least a portion of the database at the one or more remote computers; and wherein the linked content is displayed on a user interface based upon a user interaction with at least a portion of the one or more source documents.

37. The method of claim 31 , wherein the at least one term is visibly enhanced to notify the user of available content.

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6. The method of claim 4 , wherein the assigning the popularity score to each of the set of placed content includes multiplying the scaling factor, the respective click through rate and the respective bid value.

7. The method of claim 6 , wherein the scaling factor associated with a maximum similarity score is less than the scaling factor associated with a mid-point similarity score.

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17. The system of claim 16 , where the generating comprises re-traversing the schema metamodel graph and, for each edge in the schema metamodel graph: creating RDF-triplestore link triples to represent each primary key to foreign key and alternate key to foreign key relationship; and storing each new RDF-triplestore link triple in the triplestore.

16. The system of claim 15 , where the processing comprises traversing the schema metamodel graph for the relational database to preserve referential integrity rules with respect to the relational database, the traversing comprising: expanding table rows including expanding a given row into individual triples, each of the individual triples comprising a subject including primary-key information from the given row, a predicate including column name information from the given row, and an object including non-primary-key information from the given row; determining mapping structures for primary key to foreign key and alternate key to foreign key pairs in accordance with a canonical mapping template; normalizing keys to support collation and sorting; and creating intermediate associative map triple-entities to maintain source-destination mappings when one-to-many or many-to-many primary key to foreign key relationships are present.

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6. A system, comprising: at least one computing device; and a search application executed in the at least one computing device, the search application causing the at least one computing device to at least: generate a content page having a search term user interface element; generate a plurality of suggested search terms based at least upon at least one character entered in the search term user interface element, the at least one character corresponding to a portion of a search term; retrieve from an electronic repository a plurality of search results associated with each of the plurality of suggested search terms; retrieve a representative image associated with a respective search result for each of the plurality of search results; asynchronously update the content page with based at least upon the at least one character entered in the search term user interface element, wherein the content page is asynchronously updated with a dropdown box placed proximate to the search term user interface element, wherein the dropdown box displays a list of the plurality of suggested search terms, wherein each of the suggested search terms is displayed horizontally offset from the plurality of search results, wherein each of the plurality of search results is displayed with the representative image associated with the respective search result; retrieve from the electronic repository, data associated with the search result, the electronic repository storing data associated with products available from an electronic commerce system; determine, based at least in part, upon at least one additional character entered in the search term user interface element that at least one of the plurality of suggested search terms is no longer related to the search term; and remove the at least one of the plurality of suggested search terms from the content page in response to receiving the at least one additional character entered in the search term user interface element to generate a refined plurality of suggested search terms.

10. The system of claim 6 , wherein the search application further causes the at least one computing device to: receive at least one navigation input corresponding to user input on an input device, the navigation input corresponding to a plurality of mouse movements and the input device corresponding to a mouse; asynchronously update the search term user interface element to reflect the at least one navigation input by highlighting one of the plurality of search results selected by the user; and asynchronously enlarge the representative image associated with the one of the plurality of search results that is highlighted.

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1. A computer-implemented method comprising steps of: receiving one or more answer submissions at an online answer submission system that accepts, from multiple users, answers to questions submitted to the online answer submission system by users other than those that submitted the one or more answer submissions; processing a set of previously scored training submissions, thereby training a machine learning mechanism to score, automatically, a plurality of submissions that are submitted by users of a system; scoring a particular submission of said plurality of submissions automatically using the machine learning mechanism, thereby producing a score; and performing, relative to the particular submission, an action that is determined based on said score; wherein said previously scored training submissions are also answers to questions submitted to the online answer submission system; wherein said steps are performed by one or more computing devices.

12. The method of claim 1 , wherein training the machine learning mechanism comprises training the machine learning mechanism based on information that was extracted from a search engine's analysis of search results that resulted from a web search query, wherein the information comprises at least one of: (a) a number of sites occurring within a specified set of search results that have been classified as adult sites, and (b) a number of links within a specified set of search results that have been classified as spam links.

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1. An method comprising: receiving clinician note data in a first electronic system that includes patient medical-related data; processing the clinician note data using a natural language data processor and medical record interpretation rules to automatically convert the clinician note data into an electronic medical record; sending the electronic medical record to a second electronic system to allow review and modification of the converted clinician note data in the electronic medical record; receiving feedback data in the first electronic system that indicates modifications to the converted clinician note data in the electronic medical record; processing the feedback data to identify modifications to the converted clinician note data in the electronic medical record; analyzing the modifications in the feedback data to determine whether to modify the medical record interpretation rules; and modifying the medical record interpretation rules in accordance with at least a portion of the feedback data for use in processing subsequently received clinician note data if analysis of the modifications in the feedback data determines to modify the medical record interpretation rules.

5. The method of claim 1 wherein processing the feedback data to identify modifications to the converted clinician note data in the electronic medical record comprises: analyzing linguistics of the electronic medical record as modified to determine discrete contexts of portions of the electronic medical record; analyzing statistics associated with the medical record interpretation rules; and modifying the medical record interpretation rules in accordance with the linguistics and statistics analysis.

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10. A method for crowd sourcing tasks, comprising: identifying, by a computer system, a group of potential candidates for crowd sourcing wherein each candidate of the group of potential candidates is identified based on the candidate being expected to accept an offer for performance of a certain type of task, the certain type of task being at least performable within a predetermined range of time; receiving, by the computer system, a request to perform a particular task from a requester; transmitting, by the computer system, an offer for performance of the particular task to a subgroup of the group of potential candidates, wherein transmitting the offer for performance of the particular task to the subgroup of the group of potential candidates comprises: determining when any candidates are currently performing the same task or similar task to the particular task, and transmitting the offer for performance of the particular task to the candidates that are currently performing the same task or the similar task; determining when any candidates have a history of completing the same task or the similar task to the particular task faster than other candidates, and transmitting the offer for performance of the particular task to the candidates that have the history of completing the same task or the similar task faster than the other candidates; determining when a particular candidate has completed a specific task, and transmitting the offer for performance of the particular task to the particular candidate in response to the particular candidate having completed the specific task, wherein the specific task is related to the particular task being offered; and determining when any candidates have reached a predefined quota of one of a total time in performing a group of tasks during a set time period or a number of tasks performed during the set time period, and not transmitting an offer for performance of another task to any candidates that have reached the predefined quota until a next set time period, wherein the next set time period is configurable by a user based on a policy.

11. The method of claim 10 , further comprising transmitting context information to an accepting candidate in response to the offer for performance of the particular task being accepted by the accepting candidate.

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6. The method of claim 1 , further comprising displaying to the user an option for previewing the selected clip.

1. A method for providing a user interface for a visual thesaurus for a media clip database associated with a multimedia application program, wherein said media clip database contains information, including find similar clips indicia and keywords associated with media clips included in said media clip database, said find similar clips indicia including hidden criteria based on human judgment regarding the content of the media clip that identifies and/or groups media clips, said method comprising: directly in response to a user beginning a search by selecting a media clip from said media clip database, displaying to the user an option for finding similar media clips that have an associated find similar clips indicia and/or a keyword that matches the find similar clips indicia, human judgment and/or a keyword associated with the selected clip, said keywords displayed to the user in a list box, the list box including each of said keywords listed separately, each keyword being individually selectable, the list box also including an additional list entry that permits selection of all said keywords.

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8. The apparatus of claim 7 wherein said logic circuitry operates in synchronism with a clock signal and said second counting means is responsive to said clock signal.

7. The apparatus of claim 6 wherein said addressing means comprises: (a) a first counting means responsive to said acquisition signal and to the number of said stored data words for producing a first signal representative of a predetermined number of most significant bits of each storage address; and (b) a second counting means responsive to the presence of said data words for producing a second signal representative of a predetermined number of least significant bits of each said storage address.

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8. The method of claim 7 , wherein creating the first entry in the TOC document and creating the second entry in the TOC document comprises: inserting the first link in the TOC document, wherein the first link includes a parameter identifying first anchor for the first link and corresponds to the first selected part of the target document; inserting the second link in the TOC document, wherein the second link includes a parameter identifying a second anchor for the second link and corresponds to the second selected part of the target document; inserting the first anchor in the target document at a location proximate to the first selected part of the target document; and inserting the second anchor in the target document at a location proximate to the second selected part of the target document.

7. The method of claim 6 , wherein scanning the target document comprises searching the target document for an item having a style representing a particular format selection.

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1. A computer-implemented method for creating and processing a human interface description, the method comprising the steps of: receiving an application-specific human interface description associated with an information-gathering application, the application-specific human interface description comprising: application-specific layout elements defined according to terminology consistent with the application, the application-specific layout elements being arranged in an expandable and collapsible hierarchy having a corresponding hierarchical state; and data elements defined according to the terminology and having values specific to the application; transforming the application-specific human interface description into a standardized human interface description, the standardized human interface description comprising standardized layout information and the data elements specific to the application, the transforming comprising: translating the application-specific layout elements into the standardized layout information, the standardized layout information comprising layout elements in a format independent of the application and independent of a browser, wherein the standardized layout information maintains the hierarchical state of the application-specific layout elements; decomposing the standardized human interface description into a human interface layout template and a data description, the data description comprising the data elements specific to the application, and the human interface layout template comprising the standardized layout information, the decomposing comprising: extracting the standardized layout information from the standardized human interface description using a first transformation; and extracting the data elements specific to the application from the standardized human interface description using a second transformation, wherein the second transformation scans the standardized human interface description to identify name attributes, and at least one of the data elements specific to the application and corresponding to the identified name attributes; and merging a data instance of the data description with the human interface layout template to form an individual browser-compliant human interface description, the merging comprising translating the layout information into a format consistent with the browser.

5. The method of claim 1 , wherein the first transformation and the second transformation are performed using a single style sheet.

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21. The system according to claim 20 , further comprising a second user interface operable with the visualization engine to select at least one visualized image of the results data for describing the challenge in a manner for planning the strategy to meet the challenge.

20. The system according to claim 19 , further comprising a first user interface operable with the reasoner processor to receive a specification of a challenge.

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4. A method, comprising: receiving an image; determining a color depth of the received image, the color depth corresponding to at least one of grayscale, bi-tonal and color; reducing color depth of the received image to generate a bi-tonal representation of the image in response to determining the color depth of the received image is not bi-tonal; identifying a set of one or more graphical line candidates in either the bi-tonal image or the bi-tonal representation, the graphical line candidates including one or more of true graphical lines and false positives; discriminating any of the true graphical lines from any of the false positives; removing the true graphical lines from the bi-tonal image or the bi-tonal representation without removing the false positives to generate a component map comprising connected components and excluding graphical lines; identifying one or more of the connected components in the component map, the identifying further comprising: determining a connectedness of the one or more connected components in the component map, wherein determining the connectedness of the one or more connected components comprises determining, for each of the one or more connected components, a number of connected component transitions across a vertical threshold position; determining whether each of the one or more connected components corresponds to a particular class of components based on the connectedness thereof, wherein the class of components to which each of the one or more connected components corresponds is selected from unknown, handwritten characters, signature, and machine-printed characters, wherein the particular class to which the connected component corresponds is determined to be a signature in response to determining the number of connected component transitions is at least 5; and labeling each of the one or more connected components based on the particular class of components to which the connected component corresponds.

6. The method as recited in claim 4 , wherein the particular class to which the connected component corresponds is determined to be a signature further in response to determining the connected component is characterized by a width of at least 0.4 inches.

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1. A method for enhanced local commoning optimization of compilation of a program, said method comprising: performing, by one or more processors of a computer system, commoning of volatiles within an extended block for a particular memory model associated with a particular programming language, using a two pass approach by: determining, by the one or more processors, within a first pass, where in the program to evaluate volatile expressions that can be commoned; and commoning, by the one or more processors, in a second pass, all remaining expressions that are not volatile expressions.

2. The method of claim 1 , wherein said determining within the first pass where in the program to evaluate volatile expressions that can be commoned comprises: analyzing each extended basic block in the program according to a set of predetermined criteria in the first pass, to common all volatile fields, wherein the first pass tracks opportunities for commoning local variables and final fields in addition to tracking opportunities to common the volatile fields, and wherein only the volatile fields are commoned in the first pass.

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3. The design/verification aid system according to claim 1 , wherein the design processing unit includes a unit for inputting the part relation information, and the analytic model edition unit includes a unit that adds an inter-part connection element corresponding to a part relation to the whole analytic model on the basis of the inputted part relation information.

1. A design/verification aid system adapted to aid design of a product and verification of the design, comprising: a design processing unit that executes a CAD (computer aided design) process in accordance with an input operation command, the CAD process including: a part generation process to generate a part geometric model, a part addition process to add to the generated part geometric model a part geometric model corresponding to another part to generate a whole geometric model corresponding to a product under design, the whole geometric model including the generated part geometric model, a process to designate a part relation between the generated part geometric model and the part geometric model corresponding to another part based on inputted part relation information, the inputted part relation information includes an attribute information indicating a vibration source, and a part movement process to move a position of a predetermined part geometric model in the whole geometric model; an analytic model generation unit that, when the part geometric model is generated by the part generation process, generates an analytic model corresponding to the part geometric model; an analytic model edition unit that edits the generated analytic model in accordance with a content of either (i) the part addition process when the part addition process is executed, or (ii) the part movement process when the part movement process is executed, and generates a whole analytic model corresponding to the whole geometric model; and an analysis unit that executes an analysis process to analyze the whole geometric model on a basis of the whole analytic model generated by the analytic model edition unit, and displays an analytic result.

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5. The system of claim 4 , wherein the at least one computing device is further configured to reorganize the navigation page to replace a second adaptive topic marker with the adaptive topic marker based at least in part on whether the relevancy of the adaptive topic exceeds the reorganization threshold.

7. The system of claim 5 , wherein the at least one computing device is further configured to reorganize the navigation page to include the adaptive topic marker in an arrangement of a plurality of adaptive topic markers.

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4. The method of claim 1 wherein the assembling the letters step further comprises the step of kerning the assembled letters such that at least one of the letters protrudes into free spaces of an adjacent letter.

1. A method for generating an image with a realistic personalized text insert via software loaded on a computer, the method comprising the steps of: a. defining a number of curves, where the curves define alphabetic or numeric characters, and storing the curves in a storage area of the computer; b. providing a base image with at least one position frame defined within the base image, the position frame defining an area where the text insert is insertable; c. choosing at least one curve by indicating a letter of the text insert; d. assembling letters of the text insert comprising the steps of: i. selecting several individual images, the individual images consisting of at least two pixel elements; ii. sizing automatically the individual images as a function of the at least one curve; and iii assembling automatically the several individual images along the at least one curve; where the steps c and d are performed separately for each letter of the text insert by the software, and the sizing and assembling is done according to a random function for providing different arrangement of the individual images for indentical letters of the text insert; e. assembling the letters within the position frame to compose the text insert thereby creating an output image where the individual images appear to be a part of the base image; and f. outputting the output image to an output unit.

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39. The machine system of claim 26 and further comprising: an automated transmitter that transmits a plurality of Current Focus indicating records (CFi records) to a network indicating relatively recent, focus-related activities or focus-related states of the first user, where the transmitted CFi records include: a report indicating one or more particular machine usage activities of the first user, and a report indicating one or more biometric or mental states of the first user.

41. The machine system of claim 39 wherein at least one of the plural focus indicating records includes an indication of one or more particular machine usage activities of the first user, where the indicated usages include identification or transmittal of at least one of: (a) a sub-portion of a displayed web page that the first user has focused upon; (b) a snapshot of content included in the focused upon sub-portion that was focused upon by the first user; (c) a source identifier of network sourced content whose sub-portion was focused upon by the first user; (d) one or more keywords submitted by the first user to a search engine in conjunction with said focused upon sub-portion; (e) a sound the first user was at the same time listening to and/or an amount of time spent by the first user listening to such sound in conjunction with said focused upon sub-portion; (f) a direction of focus of an eye of the first user; (g) a sub-portion of locally presented content upon which the first user dwelled a cursor of a user interest-indicating device; (h) one or more hyperlinks clicked on within the focused upon sub-portion of the displayed content the first user has been focused upon; (i) one or more invisibly or silently embedded codes included within the focused upon sub-portion of the content the first user has been indicated to be focused upon; (j) a file name associated with the focused upon sub-portion of the focused upon content of the first user; (k) a sub-portion of presented content, where the sub-portion was uniquely highlighted by the first user; (l) a sub-portion of presented content, where the sub-portion was uniquely zoomed-in on by the first user; (m) a sub-portion of presented content, where the sub-portion was uniquely copied by the first user; (n) user input device usages of the first user; and (o) background sights, smells and/or sounds to which the first user was exposed in conjunction with focusing upon said focused upon sub-portion.

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3. The method of claim 2 , further comprising adding to the search query a word or a phrase that was not present on the of-interest page.

2. The method of claim 1 , wherein: the displayed content on the local device when formulation of the search query was initiated includes an of-interest page; and the set of one or more selected quick-picks is selected based, at least in part, on content of the of-interest page.

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5. The method of claim 1 wherein the first zone is located on the country silhouette over the area that approximates the geographic location of an office of the primary insured.

1. A method for analyzing a client's insurance coverage, the insurance coverage represented in a plurality of insurance policies related to a primary insured, the method steps comprising: obtaining a plurality of insurance policies related to a primary insured; extracting coverage data from each of the insurance policies; compiling insurance coverage data from the extracted coverage data; automatically generating, within a first computing means, detailed policy coverage documents from the compiled insurance coverage data; automatically summarizing, using the first computing means, the compiled insurance coverage data in a summary document; and automatically summarizing, using the first computing means, the compiled insurance coverage data in a summary graphic, wherein the summary graphic comprises a silhouette of a country in which the primary insured resides; a first zone within the country silhouette, the first zone including a list of national liabilities internal to the primary insured as determined from the compiled data; a second zone external to the first zone but within the country silhouette, the second zone including national liabilities external to the primary insured as determined from the compiled data; and a third zone outside the borders of the country silhouette, the third zone including international liabilities of the primary insured as determined from the compiled data.

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12. The method of claim 11 further including presenting on each set a tutorial visually demonstrating how to connect a certain type of source device to said media input.

11. The method of claim 9 wherein said step of automatically making personalized setup selections includes configuring a media input on each set.

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18. A method comprising: under control of one or more computer systems configured with executable instructions, receiving an audio input including a first candidate word for evaluation as a wake word that activates functionality of a computing device; determining a plurality of values from wake word metrics for the first candidate word, wherein the plurality of values includes a word frequency value that is determined for the first candidate word by determining a frequency of occurrence of the first candidate word in a test set comprising one or more words; and determining an overall score for the first candidate word based at least in part on the plurality of values.

19. The method as recited in claim 18 , wherein the word frequency value is normalized to value between one and zero.

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19. The computer program product of claim 15 wherein the Java code and artifact files have sufficient information for construction of queries to search disparate databases on a data fabric.

15. A computer program product tangible stored on a computer readable non-transitory machine-readable media of volatile or non-volatile hardware storage, the computer program product for producing a common set of data types for operation with disparate databases and comprising instructions to cause a computing system to: receive from a client device a file instance of an entity having a defined structure that is expressed in a data definition language; transform the received file instance into a Java based platform independent, functional code and data definition artifact files, using a modeling language platform that includes a language grammar and a set of language processing rules that are written in the language grammar, with the platform independent, functional code and data definition artifact files together describing a logical structure of the entity with respect to conventions of a given one of the disparate databases, with auto-generate code that deconstructs the file instance into recognizable pieces that allow further discrete operations to be performed on the file instances; and pass the deconstructed file instances through a data fabric into one or more databases that are permanent repositories of data, and against which one or more of queries, updates or deletes can be performed.

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2. A system according to claim 1 , further comprising: an agent selection module to select the human agent for sending the automatically recognized text and the audio content for the verbal message based on at least one of an agent rank, availability, and message content.

3. A system according to claim 2 , wherein the rank comprises at least one of agent fatigue, performance, and speed.

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15. The method of claim 14 , further comprising: merging the one or more of query results associated with the plurality of sub-queries.

14. A computer-implemented method to retrieve data from one or more datasets, comprising: receiving a query to retrieve data and configuration of one or more datasets, wherein the query is in a first query language, and wherein the query includes a list of key performance indicators related to a performance of an entity; retrieving configuration information from a configuration database, wherein the configuration information includes at least key performance indicator configurations; validating the list of key performance indicators in the query based on the retrieved configuration information; splitting the at least one query in the first query language into a plurality of sub-queries; transforming the plurality of sub-queries into one or more second query languages, wherein the one or more second query languages correspond to the one or more datasets; configuring one or more data models in the one or more datasets based on the one or more sub-queries; processing the one or more transformed queries to retrieve one or more query results from the one or more datasets; and processing the one or more query results to generate a data presentation, wherein the processing the one or more query results to generate the data presentation further comprises: processing the one or more query results based on at least one exchange rate parameter; factoring the one or more processed query results based on at least one factoring parameter, wherein the at least one factoring parameter is based on at least one of a therapeutic benefit of a dosage of a medicine and a market share of a medicine for a disease; and generating one or more calculated values based on the one or more factored query results.

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91. A system for providing search results in response to a search query, the system comprising: a) a computer adapted to receive a search query from a user; and b) the computer comprising a processor, the processor having processor executable instructions for: building a temporal profile of the search query from temporal data associated with documents retrieved in response to the search query, the temporal profile capable of being temporally ambiguous, the temporal profile capable of being temporally unambiguous, and the temporal profile capable of being atemporal, such that the temporal profile is at least one of: temporally ambiguous, temporally unambiguous, and atemporal; predicting an average precision of the search query using a combination of at least one temporal feature of the temporal profile and a content feature of the documents retrieved in response to the search query; identifying the search query as one of temporally ambiguous, temporally unambiguous or atemporal to the user; determining from the average precision whether the search query would benefit from relevance feedback from the user, the determination also based on the identification of the search query as temporally ambiguous, temporally unambiguous or atemporal to the user; and constructing an interactive display capable of being presented to the user for obtaining the relevance feedback from the user if there is a determination that the search query will benefit from the relevance feedback from the user.

96. The system of claim 91 wherein predicting the average precision comprises using a learning algorithm.

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17. The method of claim 14 , wherein the finished state indicates that a language component has been recognized, and wherein the language component is at least one of an onset, coda, rhyme, syllable, and word.

14. The method of claim 13 further comprising: responsive to a determination that the next byte of the input data is the white space character, incrementing the byte count by one; asking the word recognizer if a finished state in a number of finished states is reached; and determining whether the word recognizer is in the finished state in the number of finished states.

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6. The system of claim 3 , further comprising a data mining tool for mining the different information tools to obtain entity values and attribute values for populating the associative memory.

3. The system of claim 1 , wherein the plurality of different information tools store historical non-conformance information, reports of specific types of non-conformances previously investigated, and information about the platform.

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1. A method for phone number encapsulation using a token based framework, comprising: a processor executing code in a memory to create a first plurality of generic tokens for a first cell phone user by a first cell phone service provider to which the first cell phone user is subscribed, wherein the first plurality of generic tokens resides with the first cell phone service provider and each include: a respective unique privacy token for the first cell phone user, wherein the respective unique privacy token includes a unique code identifying the first cell phone service provider and a respective unique token number; a phone number for a cell phone of the first cell phone user; and a respective privacy setting; issuing a first plurality of privacy tokens to the cell phone of the first cell phone user by the first cell phone service provider, wherein the first plurality of privacy tokens comprises the respective unique privacy token for each of the first plurality of generic tokens; receiving one of a second plurality of privacy tokens from the cell phone of the first cell phone user by the first cell phone service provider, wherein: the one of the second plurality of privacy tokens is associated with one of the first plurality of privacy tokens by the first cell phone user; the one of the second plurality of privacy tokens is received by the first cell phone user from a second cell phone user through an exchange between the cell phone of the first cell phone user and a cell phone of the second cell phone user; the second plurality of privacy tokens is received by the cell phone of the second cell phone user from a second cell phone service provider to which the second cell phone user is subscribed and comprises a respective unique privacy token for the second cell phone user corresponding to each of a second plurality of generic tokens for the second cell phone user created by the second cell phone service provider, wherein each respective unique privacy token includes a unique code identifying the second cell phone service provider and a respective unique token number, and the second plurality of generic tokens resides with the second cell phone service provider and each include the respective unique privacy token, a phone number for the cell phone of the second cell phone user, and a respective privacy setting; the one of the first plurality of privacy tokens is received by the second cell phone user from the first cell phone user through the exchange between the cell phone of the first cell phone user and the cell phone of the second cell phone user; the one of the first plurality of privacy tokens is associated with the one of the second plurality of privacy tokens by the second cell phone user; and the one of the first plurality of privacy tokens is received from the cell phone of the second cell phone user by the second cell phone service provider; and updating a one of the first plurality of generic tokens that includes the one of the first plurality of privacy tokens by adding the one of the second plurality of privacy tokens by the first cell phone service provider, wherein a one of the second plurality of generic tokens that includes the one of the second plurality of privacy tokens is updated by adding the one of the first plurality of privacy tokens by the second cell phone service provider; wherein the one of the first plurality of generic tokens and the one of the second plurality of generic tokens facilitate the first cell phone user to call the cell phone of the second cell phone user via the cell phone of the first cell phone user and the second cell phone user to call the cell phone of the first cell phone user via the cell phone of the second cell phone user without a disclosure of the phone number for the cell phone of the second cell phone user to the first cell phone user or an other party or a disclosure of the phone number for the cell phone of the first cell phone user to the second cell phone user or the other party.

2. The method as claimed in claim 1 , further comprising receiving a preference for the privacy setting of the one of the first plurality of generic tokens that includes the one of the first plurality of privacy tokens from the first cell phone user by the first cell phone service provider, wherein a preference for the privacy setting of the one of the second plurality of generic tokens that includes the one of the second plurality of privacy tokens is received from the second cell phone user by the second cell phone service provider, wherein the preference for the privacy setting of the one of the first plurality of generic tokens comprises a time period during which the first cell phone user prefers to receive calls from the second cell phone user, and the preference for the privacy setting of the one of the second plurality of generic tokens comprises a time period during which the second cell phone user prefers to receive calls from the first cell phone user.

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61. The apparatus of claim 60, wherein said received dialed digits include digits that alert a network that said calling party desires to make an international call, digits representing a dialed country code, and digits representing said called party's phone number.

62. The apparatus of claim 61, wherein said received dialed digits further include digits representing a dialed city.

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4. The method as claimed in claim 2 , wherein the transformation of the decrypted document fragment of the source document is a summarization of the decrypted document fragment of the source document.

2. The method as claimed in claim 1 , wherein the fragment object includes a third set of data corresponding to a transformation of the document fragment of the source document, further comprising: (f) transforming the decrypted document fragment of the source document based on the third set of data; and (g) incorporating the transformed decrypted document fragment into the referencing document.

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2. The automatic speech recognition device of claim 1 , wherein to determine, based on the syntactic coherence, the end of the sentence comprises to determine, based on the syntactic coherence, the end of the sentence using a machine-learning-based algorithm.

1. An automatic speech recognition device comprising: a speech data capture module to acquire speech data; a phoneme recognition module to recognize, based on the speech data, phonemes of the speech data; a word recognition module to recognize, based on the phonemes, words of the speech data; a syntactic parser module to parse, based on the words, the speech data to determine a syntactic coherence of the speech data; and an end-of-sentence determination module to: determine, based on the words, a word statistics end-of-sentence score; determine, based on the syntactic coherence and the word statistics end-of-sentence score, an end of a sentence of the speech data; and determine, based on the determined end of the sentence, a speech recognition result.

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2. The system of claim 1 , wherein providing to the user computing device the page comprises redirecting the user computing device to the page.

1. A web site system capable of rescuing invalid URLs included in URL request messages, the system comprising: a data repository that stores supplemental product information for different products, the product relationship information including a product identifier for a first product and supplemental product information for the first product; and a web server system for a website in communication with the data repository, said web server system comprising one or more computing devices, wherein the web server system is responsive to at least some invalid URLs received from a user computing device by: identifying a first product identifier referenced in an invalid URL referencing content not found on the website, the invalid URL including a domain name of the web server system and the first product identifier, said first product identifier corresponding uniquely to a first product; determining the first product identifier from the invalid URL; obtaining from the data repository supplemental product information for the first product using the first product identifier; determining from the supplemental product information that the first product has been superseded by a second product, said second product being different than the first product; determining that the second product is offered on the website; and at least partly in response to determining the second product is offered, providing to the user computing device a page having content associated with the second product, the page having a second URL including a second product identifier and the domain name of the web server system.

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13. The system of claim 12 , wherein user information includes at least one of user profile, user history, and user preferences.

14. The system of claim 13 , wherein user information includes a mapping of associations between context identifiers.

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16. A machine-readable medium comprising instructions for classifying input text to a target classification system having two or more target classes, the instructions comprising: a first set of instructions for determining first and second scores based on the input text and one of the target classes, wherein the first score is based on similarity of a set of one or more non-target classes associated with the input text and a set of one or more non-target classes associated with the one target class; and wherein the second score is based on probability of the one target class given at least a portion of the input text; a second set of instructions for determining a composite score based on a linear combination of the first and second scores; and a third set of instructions for comparing the composite score to a decision threshold.

18. The medium of claim 16 , wherein each target class is a document and the text associated with the one target class comprises text of the document or text of another document associated with the target class.

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16. The method of claim 15 further comprising the step of validating the well formed command before sending it to the appliance.

15. A method of constructing content on a user interface comprising: receiving a taxonomy dataset describing attributes that contain a plurality of child values which represent valid values of the attributes, and representing operational capabilities of an appliance, limited to a current state of the appliance, traversing the limited taxonomy dataset, extracting information from the limited taxonomy dataset during the traversal, and populating user interface data inputs associated with command structures based on the extracted information, whereby the user interface data inputs are limited to the current state of the appliance and can be used to create a well formed command to send to the appliance.

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6. The system of claim 1 , wherein the computer program generates a semantic cognition network, and wherein the semantic cognition network comprises the data object network, the processing object network, and a class object network.

7. The system of claim 6 , wherein the class object network comprises a class domain, and wherein the parent process is unambiguously defined by the one of the plurality of neighborhood descriptions, the one algorithm of the set of algorithms, and the class domain.

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3. The method of claim 1 , wherein the achromatic entity categories comprise emotions.

4. The method of claim 3 , wherein each emotion is paired with an opposite emotion, and wherein the classifier is trained to categorize a color palette along an axis defined by the two emotions in one of the pairs of the emotions.

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1. A machine-implemented method of producing marketing items for a marketing campaign, comprising: on a display, prompting a user to specify campaign parameters defining a scope of the campaign, wherein the campaign parameters comprise one or more campaign topics each of which corresponds to a respective subject matter that is being promoted by the marketing campaign; on the display, prompting the user to specify for each of the one or more campaign topics a respective set of one or more attributes of intended recipients of the marketing campaign; associating the one or more specified campaign topics to respective sets of targeted recipients selected from a database of records of potential recipients based on mappings of the respective sets of recipient attributes to the campaign topics and the specified campaign parameters defining the scope of the marketing campaign; and for each of the targeted recipients, composing a respective marketing item containing a respective set of one or more contents matched to the campaign topic associated to the targeted recipient.

27. The method of claim 1 , further comprising providing the user an option to replace one or more of the contents in a presented one of the composed marketing items.

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31. A non-transitory storage medium encoded with machine-readable computer program code, that when executed by a processor, causes an apparatus to: read handwriting information; recognize said handwriting information in a first recognition mode and a second inactive recognition mode, wherein one of the first recognition mode and the second recognition mode is designated as active and the other recognition mode is designated as inactive; concurrently display character candidates, at least one of the character candidates obtained in said first recognition mode and at least one of the character candidates obtained in said second recognition mode, wherein the character candidates are text characters, wherein concurrently displaying comprises: displaying a first number of the character candidates obtained in the recognition mode designated as active; and displaying a second number of the character candidates obtained in the recognition mode designated as inactive, wherein the first number is greater than the second number; and receive a selection of a character candidate among the character candidates being displayed.

38. The non-transitory storage medium according to claim 31 , wherein a displaying order of said at least one of the character candidates obtained in said first recognition mode and said at least one of the character candidates obtained in the second recognition mode is the same as that of buttons for activating said first and second recognition modes.

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5. The method of claim 1 , wherein adjusting the adaptation process comprises: making a comparison of the error rate to an error rate threshold; and adapting the model or the various models or withholding adapting the model or the various models based on the comparison.

11. The method of claim 5 , wherein the error rate threshold is based on an environmental factor.

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1. A method of interfacing, in a web-enabled console application, to communicate between a warehouse management system and a portable device, the method comprising: receiving, from the warehouse management system, graphical user interface (GUI) screen data comprising visual content; generating voice extensible markup language (XML) data based on the visual content by a computer system, the voice XML data including at least one portion which is representative of voice information; transmitting the generated voice XML data to the portable device; reading a radio frequency identification (RFID) tag information with the portable device; transmitting the information to the web-enabled console application; and modifying the RFID tag information responsive to an instruction transmitted via the web enabled console application to the portable device.

5. The method of claim 1 , wherein the transmission is performed via a wireless network.

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2. The method of claim 1 , wherein each of the identified factual patterns has at least a minimum frequency of occurrence.

3. The method of claim 2 , wherein the identifying of factual patterns having at least a minimum frequency of occurrence is performed on a sample of the dataset and extended to the entire dataset.

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9. A system for visually finding N-grams in near-time, comprising: a computer processor; and memory comprising modules configured to execute on the computer processor to enable the computer processor to: in response to a user request, generate digital information processable by a client device to display a GUI, wherein the GUI includes a first element for receiving user input specifying one or more query terms, a second element for receiving a user selection specifying a dataset, a third element for displaying a velocity graph, and a fourth element for displaying a list of candidate n-grams; transmit the digital information for generating the GUI to the client device; in response to receiving, from the client device, a user input specifying a particular one or more query terms and a user selection specifying a particular dataset: search for and retrieve from the dataset, documents that include the one or more query terms; detect candidate n-grams of the particular one or more query terms, wherein the detecting includes applying programmatic heuristics based on co-occurrence with the particular one or more query terms in the retrieved documents; select one or more of the candidate n-grams, wherein the selecting is based on co-occurrence statistics; and generate information processable by the client device to display, in the third element, a velocity graph that displays the number of retrieved documents as a function of time and, in the fourth element, a list of the selected candidate n-grams of the particular one or more query terms; and transmit, to the client device, the digital information for displaying the velocity graph and the candidate n-grams.

12. The system of claim 9 , wherein the module is further configured to enable the computer processor to: in response to receiving, from the client device, a user input representing a selection of a portion of the velocity graph corresponding to a refined time range that corresponds to a spike: search for and retrieve from the dataset, a second set of documents within the refined time range that include the particular one or more query terms; detect a second set of candidate n-grams of the particular one or more query terms, wherein the detecting includes applying programmatic heuristics based on co-occurrence with the particular one or more query terms in the second set of retrieved documents; generate information processable by the client device to display, in the third element, an updated velocity graph that displays the number of retrieved documents from the second set of documents as a function of time over the refined time range and, in the fourth element, an updated list including the second set of candidate n-grams; and transmit, to the client device, the digital information for displaying the updated velocity graph and the updated list.

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1. A non-transitory computer-readable medium encoding instructions which, when executed by a computer system, cause the computer system to: parse an electronic text document to generate a document vector for the electronic text document, wherein the document vector includes a feature count component and a feature position component, wherein the feature count component includes a plurality of feature count indicators for the electronic text document, wherein the feature position component includes a data structure selected from a group consisting of an ordered list and a tree of document substructure indicators, each document substructure indicator denoting a type of substructure in the electronic text document, and wherein a position of said each document substructure indicator in the data structure characterizes a position of a corresponding substructure in the electronic text document; determine a plurality of composite hyperspace distances between the document vector and a plurality of reference vectors, each composite hyperspace distance being defined between the document vector and a reference vector of the plurality of reference vectors, wherein each composite hyperspace distance is a function of a Euclidean-space distance dependent on the feature count component of the document vector and of an edit distance dependent on the feature position component of the document vector; and classify the electronic text document according to at least one of the plurality of composite hyperspace distances.

2. The computer-readable medium of claim 1 , wherein the Euclidean-space distance is a Euclidean distance or a Manhattan distance.

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1. A computer-implemented system to provide an extensible type repository environment, comprising: one or more microprocessors; a plurality of type repositories, wherein each type repository maintains a hierarchical data structure that contains definitions of one or more types in a type system, wherein a first of the plurality of type repositories defines a first type in a first type system and a second of the plurality of type repositories defines a second type in a second type system; and a plurality of type repository interfaces, wherein each type repository interface is associated with and provides access to a type repository in the plurality of type repositories and defines a set of services provided by the type repository,. wherein an object of the first type is created based on the second type system by creating the object of the first type so that it manipulates only instances of the second type.

2. The system of claim 1 , wherein: the set of services includes initializing the type repository, adding, accessing and/or deleting a type stored in the type repository.

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12. The method of claim 1 , wherein information stored about the objects is used to interpret a meaning of an action.

1. A method for controlling home electronic devices connected to a home network comprising: (a) receiving a user voice command and converting the user voice command into a character command; (b) converting the character command into a logical command, comprising: (b1) extracting actions and objects from the character command, (b2) storing semantic information related to the meaning of the extracted actions and semantic information related to the meaning of the extracted objects, and (b3) analyzing the stored semantic information to remove semantic ambiguity from the actions and objects based on the semantic information of the character command and outputting the logical command based on the analysis, wherein a time that the character command is received is used to interpret a meaning of an object; (c) generating an action list comprising a series of actions used to execute the logical command by searching an action library storing action data for controlling the home electronic devices connected to the home network, wherein the generated action list is influenced by which electronic devices are currently connected to the home network and by state information of the electronic devices currently connected to the home network; and (d) converting the series of actions included in the action list into a control signal and controlling the home electronic devices connected to the home network according to the control signal.

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9. The method of claim 1 , wherein an event in the set of events includes unstructured data.

1. A method, comprising: extracting a set of accessed domain names from a set of events stored in a field-searchable data store, wherein each accessed domain name in the set of accessed domain names was not detected in events generated prior to generation of the set of events; identifying a respective registration time for each accessed domain name in the set of accessed domain names, wherein the respective registration time is indicative of when the accessed domain name was first detected within the set of events; identifying a subset of accessed domain names in the set of accessed domain names for which the identified respective registration time of each accessed domain name in the subset is recent relative to times for other accessed domain names in the set of accessed domain names; determining, for each accessed domain name in the subset, an access count corresponding to how many times the set of events indicates that the accessed domain name in the subset was accessed; causing display of information relating to the access count; wherein the method is performed by one or more computing devices.

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17. The method of claim 16, wherein steps (b) and (c) comprise: (b1) placing one of a plurality of bounding rectangles around each of the objects; (b2) determining if any of the bounding rectangles overlap each other; (b3) if any of the bounding rectangles overlap each other, replacing the overlapping bounding rectangles with another of the bounding rectangles which surrounds each of the objects within the overlapping bounding rectangles; repeating steps (b2)-(b3) until no more of the bounding rectangles overlap each other; and defining each of the overlap groups as a group of at least one of the objects bounded by one of the remaining bounding rectangles that does not overlap any others of the bounding rectangles, the remaining of the bounding rectangles designated as the non-overlapping rectangles.

16. A method for creating a table from a layout of a plurality of objects, comprising the steps of: (a) identifying each of the objects relative to their location on a page; (b) creating at least one overlap group of the objects based upon the location of the objects, each overlap group containing at least one object and any other object that overlaps the at least one object, wherein if a first object and a second object overlap each other, an overlap group containing the first object and the second object is created; (c) bounding each of the overlap groups within one of a plurality of non-overlapping rectangles, each non-overlapping rectangle defined by its bounding coordinates, each non-overlapping rectangle bounding an area of the page called an overlap region containing one or more of the objects; (d) storing the bounding coordinates of each non-overlapping rectangle within a table data structure as a plurality of x-coordinates and a plurality of y-coordinates; (e) creating a framework of cells defining the table from the coordinates, the framework defined by rows and columns, each row defined by the y-coordinates, each column defined by the x-coordinates, the intersection of each row and each column defining the location of each cell within the table; and (f) if one of the cells of the table corresponds to a designated part of the overlap region associated with one of the overlap groups, then merging all of the cells containing parts of the overlap region into a new cell within the framework of the table before populating the new cell with at least one element representing the objects within the overlap region as the objects are laid out on the page, thereby creating the table from the layout of objects.

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1. A computer-implemented system for programming a unified messaging (UM) application, comprising: a user interface; a programming environment operating on at least one computing device and accessed via the user interface for composing in an eXtensible Markup Language (XML) a UM finite state machine (FSM) comprising menu states defined by a plurality of user prompts and transitions between user prompts, each transition defined by a particular user response to a prompt; a UM software component including an external software component called by the UM FSM; an XML feature utilized by the programming environment to create a valid menu state based upon the UM software component, wherein the XML feature includes a function wrapper that is used by the programming environment to validate the external software component during a compilation phase when the external software component is present and generate a binary UM FSM, and to generate an error when the external software component is absent during the compilation phase; and a verification tool invoked during execution of the binary UM FSM that confirms that a version of the external software component present during a compilation phase is the same as a version of the external software component available at execution.

9. The computer-implemented system of claim 1 , wherein the external software component is one of a group consisting of a method, function, variable and action.

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9. The method of claim 1 , wherein each of the keypoint descriptors describes a local region of image pixels which contains fewer than one tenth of the image pixels in each candidate region.

1. A method for object instance localization in an image comprising: detecting keypoints in each of a set of labeled reference images, each of the reference images comprising an object instance; describing each of the detected keypoints in the reference images with a local descriptor based on a region of pixels local to the respective keypoint; receiving a target image; detecting keypoints in the target image; describing each of the detected keypoints in the target image with a local descriptor based on a region of pixels local to the respective keypoint; locating candidate regions in the target image, based on matching of keypoints detected in the target image with keypoints detected in the reference images based on their local descriptors; and computing similarity measures between global descriptors computed for the located candidate regions and global descriptors for the reference images; and assigning labels to at least some of the candidate regions based on the computed similarity measures; wherein at least one of the detecting keypoints, locating candidate regions, computing similarity measures, and the assigning of labels is performed with a processor.

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8. The system of claim 1 , wherein the first ranking model includes a constant or a first degree term.

1. A system, comprising: one or more processors configured to: obtain a first set of ranked results by using a first ranking model to determine first rank scores corresponding to respective ones of at least some of a plurality of matching information items, wherein the first ranking model comprises a linear model; select a portion of the first set of ranked results based at least in part on one or more selection criteria, wherein the one or more selection criteria comprises: a number of search results to display at a page and a ratio of a selected number of the first set of ranked results to a total number of the first set of ranked results; obtain a second set of ranked results by using a second ranking model to determine second rank scores corresponding to respective ones of at least some of the selected portion of the first set of ranked results, wherein the second ranking model comprises a nonlinear ranking model; and generate a search response based at least in part on the second set of ranked results; and one or more memories coupled to the one or more processors and configured to provide instructions to the one or more processors.

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1. A system for classifying a driver's driving style of a vehicle, said system comprising: a plurality of vehicle sensors providing sensor measurement signals; a maneuver identification processor responsive to the sensor signals from the plurality of vehicle sensors, said maneuver identification processor identifying different characteristic maneuvers of the vehicle and providing maneuver identifier signals identifying the characteristic maneuvers; and a style characterization processor responsive to the maneuver identifier signals and the sensor measurement signals, said style characterization processor including separate classifiers for each different type of maneuver, said classifiers being selected based on the maneuver identifier signal to classify driving style using sensor signals corresponding to a particular maneuver, each classifier providing a driver style classification signal that identifies the type of driver driving the vehicle for the particular maneuver, said style characterization processor further including a first combiner that receives and combines the style classification signals from each of the selected classifiers and provides a combined style classification signal for a single one of several different maneuvers.

7. The system according to claim 1 further comprising a traffic and road condition recognition processor responsive to the sensor signals, said traffic and road condition recognition processor providing traffic and road condition signals to the style characterization processor.

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10. A method for detecting an at least one word in an at least one audio signal, the method comprising: lattice generation steps for generating from the at least one audio signal a combined lattice, the combined lattice comprising an at least one text part and an at least one phoneme part, the lattice generation steps comprising: obtaining quality assessments of multiple parts of the at least one audio signal; performing speech to text analysis on an at least one first part of the at least one audio signal, to detect an at least one indexed word, the at least one first part having high quality; performing phoneme detection on an at least one second part of the at least one audio signal, to detect an at least one indexed phoneme, the at least one first part having lower quality than the at least one first part; and generating a combined lattice from the at least one indexed word and the at least one indexed phoneme; and searching steps for searching for the at least one word within the combined lattice, the searching steps comprising: searching for the at least one word within the at least one text part of the combined lattice and generating an at least one first search result if the at least one word was found within the at least one text part of the combined lattice; converting the at least one word into an at least one phoneme; searching for the at least one phoneme within the at least one phoneme part of the combined lattice and generating an at least one second search result if the at least one phoneme was found within the at least one phoneme part of the combined lattice; and fusing the at least one first search result with the at least one second search result to obtain a fused result.

13. The method of claim 10 further comprising the step of dividing the at least one indexed word into phonemes.

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7. An interactive learning system as defined in claim 6 wherein each of said entries of said tokens comprises at least one ASCII character.

6. An interactive learning system as defined in claim 4 wherein said tokens stored in said memory means comprise: a commutable type of token which requires that three entries be found in one of two possible sequences; and a one of type of token which requires that one of two possible entries be found.

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1. A computer-implemented method, comprising: receiving, at a computing device including one or more processors, a composition input including one or more characters in a source language; determining, at the computing device, candidate selections for two or more target languages based on the composition input; determining, at the computing device, a language context value for each of the two or more target languages by evaluating the candidate selections against language models for the two or more target languages, wherein each language model includes a rule set for a corresponding target language; selecting, at the computing device, a set of the candidate selections based on the language context values, the set of candidate selections including at least one candidate selection in each of the two or more target languages; and outputting, from the computing device, the set of candidate selections in a single, interleaved list of candidate selections arranged based on a relative likelihood that a specific candidate selection was intended from the composition input.

2. The computer-implemented method of claim 1 , wherein outputting the set of candidate selections in the single, interleaved list of candidate selections includes outputting a rank for each of the set of candidate selections, each rank being indicative of the relative likelihood that its corresponding candidate selection was intended from the composition input.

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12. The PDM system of claim 7 , wherein the PDM system displays a three-dimensional representation of a portion of a product represented by the product data structure, where the portion includes the components identified by the configured spatial retrieval result.

7. A product data management (PDM) system comprising: at least one processor; and an accessible memory, the PDM system configured to: store a hierarchical product data structure by a product data management (PDM) system, the hierarchical product data structure including a plurality of occurrence nodes and component nodes, the component nodes including a cell index value for a corresponding product component that identifies the product component's spatial location according to defined cells of a three-dimensional model of the product assembly; receive a query that references an occurrence node and at least one cell index value; determine a query result corresponding to the query, the query result identifying at least one occurrence node that corresponds to the cell index value; form a query result chain corresponding to the query result, the query result chain filtered by a structural criterion, apply a configuration rule to the filtered query result chain to identify child nodes of the filtered query result chain that conform to the configuration rule, and thereby producing a configured spatial retrieval result, wherein the configuration rule is only applied to occurrence nodes and occurrence chains that have already satisfied spatial constraints; and store the configured spatial retrieval result.

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10. The system of claim 9 further comprising a plurality of operational data storage repositories, with each operational data storage repository corresponding to a different document type.

11. The system of claim 10 wherein one of the plurality of operational data storage repository links extracted data from identified documents of different document types that relate to the same transaction.

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13. The system of claim 9 , wherein the sensor is adapted to detect one or more of speech patterns, movement in a local environment, movement of a physical object in relation to the synthetic character, and local environmental conditions.

14. The system of claim 13 , wherein the analysis platform further comprises a data processing module that includes a speech recognition or natural language processing system to collect voice data.

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6. The search system of claim 1 wherein the crawler is configured to (i) randomly select user interface elements within the selected mobile application for actuation and (ii) extract content and metadata from each state encountered as a result of the actuation of the randomly-selected user interface elements.

1. A search system comprising: a device controller configured to provision a device to execute a copy of a selected mobile application; a crawler configured to extract content and metadata from a plurality of states of the copy of the selected mobile application using the device; a search input state classifier configured to identify search input states within the plurality of states based on a first set of heuristics, wherein the first set of heuristics includes recognition of user-visible search indicia and recognition of metadata that correlates with search functionality; a parameter identifier configured to identify, for each of the search input states, necessary input parameters; a search function data store configured to store a record for each identified search function in the selected mobile application, wherein each record includes: a path to reach a search input state of the corresponding search function, an indication of input parameters required to be supplied to the corresponding search function, and a mapping of the input parameters to user interface widgets of the search input state; and a query processing system configured to, in response to a query, (i) selectively perform the search function in the selected mobile application using parameters specified by the query, and (ii) scrape content from a resulting search results state.

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10. The method of claim 9 wherein determining whether the identified word is misspelled or has an incorrect pronunciation comprises: if the word in the context free grammar has a pronunciation specified in the context free grammar, then comparing the specified pronunciation to a pronunciation in the lexicon corresponding to the word; and if the distance between the specified pronunciation and the pronunciation in the lexicon meets a threshold distance, then providing an indication that the spelling or pronunciation may be in error.

9. The method of claim 8 wherein identifying spelling and pronunciation defects comprises: identifying a word in the context free grammar; and accessing a lexicon with words and corresponding pronunciations; and determining whether the identified word is misspelled or has an incorrect pronunciation based on the lexicon.

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13. The method of claim 11 , wherein the text is incorporated into a review.

11. A method comprising: separating at least a portion of text into one or more segments, each segment comprising one or more words; assigning one or more lexical categories to one or more of the one or more words of each segment; identifying a feature word and an opinion word contained in the one or more segments; and calculating an opinion score based upon an opinion grouping, the opinion grouping including at least the feature word and the opinion word identified by the information extractor.

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14. The computer system of claim 1 , wherein the object type comprises one of a person, a place, an organization, or a market instrument and the database objects are each associated with specific things of the corresponding object type.

1. A computer system comprising: one or more computer processors; and a tangible storage device storing one or more modules configured for execution by the one or more computer processors in order to cause the computer system to: receive, by the computer system, selection of an object type to monitor for potential data quality problems; receive, by the computer system, selection of one or more data quality criterion; receive, by the computer system, one or more Boolean operators associated with the one or more data quality criterion and/or an indication of how many of the one or more data quality criterion are required in order to identify respective database objects as having potential data quality problems; determine potential data quality problems by scanning data associated with a plurality of database objects of the selected object type, each of the objects having one or more properties and corresponding property values, in order to determine if the selected one or more data quality criterion are matched by properties and/or properties values of respective objects; generate a user interface indicating the potential data quality problems of respective objects having property values matching the selected one or more data quality criterion, and including one or more properties and/or property values of the respective objects; receive from a user of the computer system a resolution of the potential data quality problems; and implement the resolution.

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1. A method for customizing a software application, the method comprising: receiving, by a computer system, a base metadata document defining one or more characteristics of at least a portion of the software application; identifying, by the computer system, a plurality of customization documents defining modifications to the base metadata document, wherein the plurality of customization documents are stored separately from the base metadata document, and wherein the identifying the plurality of customization documents comprises: determining a plurality of customization levels associated with the base metadata document, each of the plurality of customization levels representing a scope for which the base metadata document can be customized, the plurality of customization levels being determined by accessing a configuration file comprising mappings between customization levels and base metadata documents, wherein the plurality of customization levels are sorted in a precedence order; and identifying a customization document for each customization level in the plurality of customization levels, wherein the customization document is identified based on one or more runtime attributes corresponding to the customization level; and generating, by the computer system, a customized metadata document by applying the plurality of customization documents to the base metadata document in the precedence order.

13. The method of claim 1 , wherein the plurality of customization documents include at least one user customization document created by a user of the software application.

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14. The computer system of claim 8 , wherein the classifying the relationship between the pair of digital text volumes based on the extracted signals comprises: calculating a confidence level for each of a plurality of classes, the confidence level for a class indicating a likelihood of the relationship being described by that class; and assigning a class to the relationship between the pair of digital text volumes responsive to the calculated confidence levels.

8. A computer system for identifying relationships between a plurality of digital text volumes in a corpus, the system comprising: a non-transitory computer-readable storage medium comprising executable computer program code for: comparing the plurality of digital text volumes in the corpus to produce volume similarity data describing similarities among pairs of digital text volumes; identifying a cluster of similar digital text volumes based on the volume similarity data; comparing pages of a pair of digital text volumes within the cluster to determine page similarity data indicating degrees of similarity between the compared pages; extracting signals from the volume similarity data and the page similarity data that describe a relationship between the pair of digital text volumes, the extracted signals including at least one of: a measure of linear page-to-page fit that models volume text uniformly distributed across pages of the pair of digital text volumes; and a measure of relative consecutive page correlation between pages of the pair of digital text volumes; classifying the relationship between the pair of digital text volumes based on the extracted signals; and storing classification data describing the relationship between the pair of digital text volumes; and a processor for executing the computer program code.

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1. A system for analyzing access control configurations, comprising: a processor and memory; an operating system having resources and identifications of principals, the principals having access control privileges relating to the resources, the access control privileges described by access control metadata; an access control scanner component that receives the access control metadata, uses the metadata to determine relationships between the principals and the resources, and emits access control relations information, wherein the access control scanner component includes a mechanism layer that is configured to be specific to an operating system, and emits one or more sets of permissions in relation to resources, and a policy layer that is configured be general across multiple operating systems, the policy layer receives the one or more sets of permissions and generates one or more derivation trees that each indicate a possible vulnerability based on the relationships between the principals and the resources; and an access control inference engine that receives the emitted access control relations information and an access control policy model defining desired security policies, analyzes the received information and model, and emits a vulnerability report.

10. The system of claim 1 further comprising an access control graph viewer component that receives the vulnerability report and emits a graphical report that illustrates vulnerabilities identified by the vulnerability report.

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14. The medium of claim 12 , further comprising: determining which of the pattern matching rules are candidates to be a part of the first subgroup based on dependency relationships between two or more rules, wherein the pattern matching rules having a most related rules are candidates to be a part of the first subgroup.

12. The medium of claim 8 , further comprising: dividing the plurality of pattern matching rules into subgroups, wherein a first subgroup contains the one or more optimized pattern matching rules, and wherein a second subgroup contains all other pattern matching rules; and applying each of the first subgroup before applying the second subgroup.

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11. The method of claim 10 , wherein determining the task completion step similarity measurement includes determining a similarity between the first completion action and the second completion action.

10. The method of claim 9 , wherein the task completion step includes a first completion action and a first completion object, wherein the second task completion step includes a second completion action and a second completion object.

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6. The method of claim 4 , wherein said voice files are provided at random to transcriptionists within the group of transcriptionists.

4. The method of claim 1 , further comprising the step of facilitating transcription of said voice files prior to the correction of said transcripts of said voice files, the step of facilitating transcription of said voice files further comprising the steps of: identifying voice file metadata associated with said voice files; identifying a group of said voice files having at least one particular subset of voice file metadata; identifying a group of said transcriptionists having a proper set of characteristics to transcribe said identified group of voice files by matching said at least one particular subset of voice file metadata associated with said voice files with characteristics of said transcriptionists; and providing said group of voice files to transcriptionists within the group of transcriptionists.

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13. The computer program product of claim 9 , further comprising: seventh instructions for using the stored representation of the input media data to access the input media data.

9. A computer program product in a recordable-type computer readable medium for classifying media data, comprising: first instructions for classifying input media data for later access based on classification in response to receiving the input media data; second instructions for applying a plurality of classifiers in a hierarchical classification structure to the input media data; third instructions for generating confidence scores for the plurality of classifiers in the hierarchical classification structure; fourth instructions for modifying a confidence score automatically for a classifier in the hierarchical classification structure based on a relationship between the classifier and other classifiers in the hierarchical classification structure and the confidence scores of the other classifiers in the hierarchical classification structure by applying a confusion factor to the confidence score based on a correspondence between the confidence score and confidence scores of mutually exclusive classifiers in the hierarchical classification structure; fifth instructions for generating a representation of the input media data based on the modified confidence score being higher than a predetermined threshold confidence score; and sixth instruction for storing the generated representation of the input media data.

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12. The method of claim 8 , further comprising: identifying an account to be associated with a current translation job.

8. A method comprising: scanning an image of an original document using a scanning device; performing, by a processor, optical character recognition of the image to retrieve a text of the original document; identifying, within the text, a first portion expressed in a source natural language, wherein the first portion matches a first stored translation record associating the first portion and a first translated text expressed in a target natural language; translating the first portion into the target natural language using the first translated text; receiving a user input specifying a translation method selected from a machine translation and a human translation; responsive to receiving the user input specifying the translation method, selecting the translation method from among the machine translation and the human translation; and responsive to failing to match a second portion of the text to a second stored translation record, causing the second portion of the text to be translated into the target natural language using the selected translation method.

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5. The method of claim 2 , further comprising: receiving second custom content associated with a second user; and indexing the second custom content to produce a second custom search index, where the second custom search index is different than the custom search index and the web search index.

9. The method of claim 5 , further comprising: receiving the custom content from the user and the second content from the second user via an extensible markup language application programming interface.

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20. A method of operating a processing system that includes one or more processors, a storage subsystem including at least memory, and a display device, the method comprising: (a) receiving from a sending user a free-text message; (b) accepting from a user an indication that the user desires to respond to the received message; (c) presenting to the user the free-text of the received message on a free-text user interface on the display device, the free-text user interface being for accepting a free text message; (d) accepting at least some of the free-text from the user via the user interface into the storage subsystem, the accepting including accepting modification and/or addition to the free-text; (e) converting the accepted free-text to form or modify structured message components related to the accepted free-text; (f) presenting to the user on a structured message user interface on the display device the structured data components related to the accepted free-text, such that the user can modify or accept the structured message components; (g) accepting from the user the user's modification into the storage subsystem and/or acceptance of the presented structured message components until structured message components related to the accepted—free-text are accepted; (h) repeating some or all of steps (d), (e), (f), and (g) until a composite message comprising both free-text and structured data is formed such that the structured data represents the intended meaning of the free-text in a form understandable by a computer-based management system; (i) storing the structured data in a data structure in the storage subsystem, and (j) electronically communicating the structured data of the composite message to at least one computer-based management system and, in the case that there is at least one human recipient, communicating at least the free-text of the composite message to the at least one human recipient.

22. A method as recited in claim 20 , wherein the structured data components form one or more data objects having respective data object types and having one or more associated data structures, and wherein the converting includes determining the type for each data object.

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11. The apparatus of claim 10 wherein the processor, in representing the respective uncertainties of acoustic coverage in a manner that allows for efficient computation, is further configured to: accumulate an inverse of independent uncertainties of acoustic coverage for multiple speech utterances by the first speaker and for multiple speech utterances by the second speaker; transform accumulated inverses of the independent uncertainties of acoustic coverage; and discard dependencies between the uncertainties of different sounds represented in the transformed accumulated inverses to produce respective diagonalized, transformed accumulated inverses; and wherein the scoring module is further configured to compute the score using the respective diagonalized, transformed accumulated inverses.

10. An apparatus for speaker recognition, the apparatus comprising: an estimation module configured to estimate respective uncertainties of acoustic coverage of at least one speech utterance by a first speaker and at least one speech utterance by a second speaker, the acoustic coverage representing respective sounds used by the first speaker and by the second speaker when speaking; a processor; and a memory, with computer code instructions stored thereon, wherein the processor and the memory, with the computer code instructions stored thereon, are configured to cause the apparatus to: represent the respective uncertainties of acoustic coverage in a manner that allows for efficient memory usage by discarding dependencies between uncertainties of different sounds for the first speaker and for the second speaker to improve speaker recognition performance of the processor; and represent the respective uncertainties of acoustic coverage in a manner that allows for efficient computation by representing an inverse of the respective uncertainties of acoustic coverage and then discarding the dependencies between the uncertainties of different sounds for the first speaker and for the second speaker to further improve the speaker recognition performance of the processor; and a scoring module configured to compute a score between the at least one speech utterance by the first speaker and the at least one speech utterance by the second speaker in a manner that leverages the respective uncertainties of the acoustic coverage during the comparison, the score being indicative of a likelihood that the first speaker and the second speaker are the same speaker.

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8. The method of claim 7 , wherein the extracting of features from patches of the word image comprises generating the patches by translating the word image stepwise with a sliding window of fixed height and width and at each step, extracting a patch.

7. The method of claim 1 , wherein the applying of the generated keyword models to word images extracted from the scanned handwritten documents comprises, for word images extracted from the scanned handwritten documents, extracting features from patches of each word image.

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1. A method, comprising: extracting deep scattering spectral features from an acoustic input signal to generate a deep scattering spectral feature representation of the acoustic input signal; inputting the deep scattering spectral feature representation to a speech recognition engine; decoding the acoustic input signal based on at least a portion of the deep scattering spectral feature representation input to a speech recognition engine; and outputting the decoded acoustic input signal; wherein the speech recognition engine utilizes a hybrid architecture comprising a combination of a deep neural network and a convolutional neural network to decode the acoustic input signal, and further wherein features in the deep scattering spectral feature representation that have a local correlation in frequency are fed into the convolutional neural network part of the hybrid architecture and features that remove the local correlation are fed into the deep neural network part of the hybrid architecture, and a set of probabilities output by the hybrid architecture are used to evaluate fit between a set of acoustic models and the acoustic input signal; and wherein a result of the evaluation of fit between the set of acoustic models and the acoustic input signal is output; wherein the extracting, inputting, decoding, and outputting steps are executed via a computer system comprising an acoustic signal processing unit and a memory.

10. The method of claim 1 , wherein the extracting step further comprises reducing a dimensionality of the deep scattering spectral features.

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7. The computer-implemented method of claim 1 , wherein the metadata reader is configured to determine which user is requesting the file containing the native and non-native encodings of the accessed portions of the metadata and, based on determining which user is requesting the file, passing appropriate encoding of the metadata to the user.

8. The computer-implemented method of claim 7 , wherein the encodings are complete and consistent for each user.

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45. A method of optimizing searching as in claim 43 wherein the control group includes verified attributes about the business entities including at least one of: business name, business address, business telephone number, or business website address.

43. A method of optimizing searching in a data processing system comprising the steps of: obtaining website content of business entities that are included in a control group, where the control group defines a classification system that is based on a standard industry classification system (SIC) predefined taxonomy of SIC business activities having verified information about the business entities, the classification system being used to classify and store the website content of the business entities; searching for unclassified business entities using at least a portion of the website content of business entities in the control group; classifying the unclassified business entities based on the portion of website content of business entities in the control group; identifying commonly occurring keywords in website content of business entities that are similarly classified in the classification system of the control group; allowing the control group to grow if a substantial amount of commonly occurring keywords have been identified; and creating a new business entities category to update the classification system of the control group allowing the control group to grow by: identifying keyword matches in the stored website content by identifying any commonly occurring keywords or phrases in the website content; and processing the matches identified by determining whether any of the keywords or phrases in the identified matches contain one or more keywords associated with any of the SIC business activities in the SIC predefined taxonomy; and using the control group to optimize full text index searching of the website content by organizing search results according to categories in the classification system of the control group.

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11. The computer-implemented method of claim 10 , further comprising arranging the quantifier sets in the plan partition in lexicographical order at the QEP optimizer server.

10. The computer-implemented method of claim 9 , further comprising numbering quantifiers in each quantifier set in depth-first order at the QEP optimizer server, starting from the node having the maximum number of outer edges.

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25. The system of claim 23 , wherein the language interpretation call is received through the Internet.

23. A system of providing a relayed language interpretation service, comprising: a call processing module that receives a language interpretation call from a caller, the call processing module further configured to receive an indication from the caller that the caller needs interpretation between caller language spoken by the caller and a third-party language, wherein the call processing module is configured to identify a first interpreter that speaks the caller language and a base language, and is further configured to identify a second interpreter that speaks the base language and the third-party language; a first interpreter telephonic device that engages the first interpreter in the language interpretation call, the first interpreter telephonic device being configured to receive an input from the first interpreter to engage a second interpreter that speaks the base language and the third-party language such that a conversation is established between the caller and a third-party, and a second interpreter telephonic device that engages the second interpreter in the language interpretation call so that the second interpreter hears the live interpretation by the first interpreter so that the second interpreter utilizes the base language for the live interpretation of the base language into the third-party language.

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1. A method comprising: downloading, to a computing device, code that, when executed by the computing device, causes the computing device to perform operations comprising: receiving, by the computing device, a user input; identifying, by the computing device, a set of cached autocomplete suggestions for the user input; requesting, by the computing device, a set of additional autocomplete suggestions for the user input over a network; after identifying the set of cached autocomplete suggestions, delaying, by the computing device, presentation of the set of cached autocomplete suggestions until an end of a timeout period; determining, by the computing device, that the set of additional autocomplete suggestions has not been received by the end of the timeout period; and in response to determining that the set of additional autocomplete suggestions has not been received by the end of the timeout period, presenting, by the computing device, at least a portion of the set of cached autocomplete suggestions.

7. The method of claim 1 , wherein the operations further comprise: receiving, by the computing device, a second user input; identifying a second set of cached autocomplete suggestions for the second user input; requesting a second set of additional autocomplete suggestions for the second user input over a network; after identifying the second set of cached autocomplete suggestions, delaying presentation of the second set of cached autocomplete suggestions such that the second set of cached autocomplete suggestions are not presented during at least an initial portion of a second timeout period; receiving the second set of additional autocomplete suggestions during the second timeout period; and in response to receiving the second set of additional autocomplete suggestions during the second timeout period, presenting a combined set of autocomplete suggestions before the end of the second timeout period, the combined set of autocomplete suggestions including at least one autocomplete suggestion from the second set of cached autocomplete suggestions and at least one autocomplete suggestion from the second set of additional autocomplete suggestions.

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11. A computer program product comprising machine-readable instructions, stored on non-transitory computer-readable storage media, for causing a computing device, including a processor and system memory, to perform the steps of: a) creating a probabilistic model of a paragraph of text, parameterized by inter-word spacing; and b) running an inference on the model to find a sequence of line-breaks that maximize the joint probability of line break positions with minimum deviation of inter-word spacing from an ideal value, by performing a max-product belief propagation operation.

12. A computer program product in accordance with claim 11 , further comprising setting parameters of the probabilistic model by one of (i) measuring the parameters from a selected sample of typeset text, and (ii) setting the parameters from design experience.

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12. The computer-implemented method of claim 8 , wherein the second document is associated with a template in response to a comparison to classify documents similar to the first document.

8. A computer-implemented method for identifying anchors for fields using optical character recognition data, the method comprising: identifying a first collection of characters comprising a first set of characters at a first position relative to a first field in a first document and a second set of characters at a second position relative to the first field in the first document, wherein the first set of characters is associated with a first word and the second set of characters is associated with a second word; combining the first set of characters with the second set of characters to create a first anchor in the first document based on the first collection of characters, wherein the first anchor is at a third position relative to the first field in the first document, and wherein the first anchor is associated with a second field in the first document; identifying a second collection of characters comprising a third set of characters at a fourth position relative to a third field in a second document and a fourth set of characters at a fifth position relative to the third field in the second document, wherein the third set of characters is associated with a third word and the fourth set of characters is associated with a fourth word; determining a location of a second anchor in the second document by calculating a vector based on the first, second, third and fourth sets of characters; and identifying a fourth field in the second document that corresponds to the second field in the first document based on the location of the second anchor in the second document.

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4. The method of claim 1 , wherein generating the group score comprises adding up the final scores according to the pre-determined category.

1. A method for evaluating one or more test scripts used testing aspects target system, comprising: receiving, via a communications interface, a test script and a plurality of requirements for the test script wherein the plurality of requirements facilitate evaluation of the test script and are in pre-determined format; developing a set of protocol evaluators based on the plurality of requirements, wherein the set of protocol evaluators comprises a business requirements evaluator, a validation language requirements evaluator, a template evaluator, a completeness evaluator, and a descriptiveness evaluator, wherein each protocol evaluator of the set of protocol evaluators contains one or more factors; storing the developed set of protocol evaluators in a computer readable memory; executing each protocol evaluator with a protocol evaluation engine, wherein: execution of the business requirements evaluator controls the protocol evaluator to determine whether the test script tests specified business requirements, execution of the language requirements evaluator controls the protocol evaluator to determine whether the test script is written in a specified language, execution of the template evaluator controls the protocol evaluator to determine whether the test script is prepared using a specified template, execution of the completeness evaluator controls the protocol evaluator to determine whether the test script meets completeness requirements, and execution of the descriptiveness evaluator controls the protocol evaluator to determine whether the test script meets descriptiveness requirements, wherein execution of each protocol evaluator with the protocol evaluation engine the further comprises assigning an initial score to the test script; for each protocol evaluator: comparing the one or more factors of the protocol evaluator with the test script to thereby determine whether the test script deviates with at least one of the one or more factors of the protocol evaluator, and in response assigning a deviation thereto; determining a deductible points for each deviation according to a pre-determined rule up to a maximum deductible points; subtracting the deductible points from the initial score for the test script to thereby obtain a final score; and generating a group score for a plurality of test scripts based on a pre-determined category and the final score of the plurality of test scripts for identifying a tester for the test script based on the group score.

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9. The system of claim 1 , where the one or more devices include a plurality of devices, where one of the plurality of devices is to: select the candidate condition, request information associated with the candidate condition from other devices of the plurality of devices, receive the requested information from the other devices, and estimate the weight for the candidate condition based, at least in part, on the requested information.

12. The system of claim 9 , where the training data further includes a plurality of instances, each of the features corresponding to one or more of the instances, each of the instances including information regarding a user, information regarding query data provided by the user, and information regarding documents retrieved based, at least in part, on a search performed using the query data; and where each of the plurality of devices is responsible for a subset of the instances and includes a feature-to-instance index that maps features to instances to which the features correspond.

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1. An application server for generating project specific configuration data, the application server comprising: a processor for processing digital data; a memory device for storing digital data including computer program code, the memory device being coupled to the processor; a data interface for sending and receiving data across a data network, the data interface being coupled to the processor, a database connection for storing and retrieving digital data including a plurality of items of project template data representing at least one project template, wherein the processor is controlled by the computer program code to: receive, via the data interface, the project template data; store, using the database connection, the project template data; receive, via the data interface, question configuration data representing at least one question and at least one associated candidate answer; store, using the database connection, the question configuration data; receive, via the data interface, rule data representing a rule relating the project template data and the question configuration data; store, using the database connection, the rule data; send, via the data interface, question data from the question configuration data; receive, via the data interface, answer data in response to the question data; and generate project specific configuration data from the project template data in accordance with the answer data and the rule data, wherein the rule data maps the answer data to the items of project template data to select items of project template data, wherein the selected items of project template data are added to build the project configuration data.

9. The application server as claimed in claim 1 , wherein the project template data comprises role template data representing at least one role, and wherein, in generating project task data, the processor is further controlled by the computer program code to generate responsibility data representing at least one responsibility for the at least one role in accordance with the role template data and the project task template data.

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6. The computer-implemented method of claim 5 , further comprising: obtaining a search results display request; and in response to the search results display request, providing the search results based on the second search query before the level of specificity of the second search query is above the search threshold.

7. The computer-implemented method of claim 6 , further comprising: obtaining a visually guided search refinement request; and in response to the visually guided search refinement request, providing the visually guided search refinement after providing the search results based on the second search query.

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12. The method of claim 11 , wherein: the context information includes profile information associated with the particular person.

13. The method of claim 12 , wherein: the performing local speech recognition is performed on a mobile computing device; and the first response includes Internet search results based on the first utterance and the context information.

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5. The method of claim 1 wherein said user specifies said first user geographic region for presenting content within said graphical interface on a portable computing device.

1. A method of presenting news content to a user with a computing system comprising: a) determining a first user geographic region associated with the user; b) automatically determining a target geographic region for a first event with the computing system by analyzing content for news stories relating to said first event; c) determining if said first event in said target geographic region is related to said first user geographic region; d) automatically selecting one or more local sources with the computing system to collect local content for stories associated with said first event; wherein said one or more local sources include news sources within or proximate to said target geographic region; e) presenting news stories to a user for said first user geographic region with the computing system within a graphical interface based on a news ranking determined for said news stories; wherein for said presenting step (e) said local content from said local sources is given a higher news ranking than content from other reference content sources by the computing system at least for stories that are associated with said first event.

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1. A system comprising: a transfer determining module configured to determine that a computing device, that was presenting an item, has been transferred from a first user to a second user, the transfer determining module including at least: a visual cue detecting module configured to determine that the computing device has been transferred from the first user to the second user when the visual cue detecting module at least detects presence or absence of one or more visual cues in proximate vicinity of the computing device that when detected as occurring at least suggested transfer of the computing device between the first and second users, the visual cue detecting module including at least: a gesture detecting module configured to detect the presence or absence of the one or more visual cues in the proximate vicinity of the computing device when the gesture detecting module at least detects visually one or more gestures exhibited by the first user that when detected as occurring at least suggested transfer of the computing device from the first user to the second user at least in part by the first user moving the computing device at least in part with the one or more gestures; and a highlighted portion presenting module configured to present, via the computing device, one or more highlighted portions of the item, the highlighted portion presenting module being responsive at least in part to the transfer determining module configured to determine that a computing device, that was presenting an item, has been transferred from a first user to a second user, the highlighted portion presenting module being configured to present the one or more highlighted portions of the item responsive at least in part to the transfer determining module and to a highlighting selection detecting module, the highlighting selection detection module configured to detect, prior to the transfer of the computing device from the first user to the second user, that the first user has at least one of marked or tagged at least one or more parts of the one or more portions to select the one or more portions for highlighting.

22. The system of claim 1 , wherein said visual cue detecting module including at least a gesture detecting module configured to detect the presence or absence of the one or more visual cues in the proximate vicinity of the computing device when the gesture detecting module at least detects visually one or more gestures exhibited by the first user that when detected as occurring at least suggested transfer of the computing device from the first user to the second user at least in part by the first user moving the computing device at least in part with the one or more gestures comprises: an eye detecting module configured to detect the presence or absence of the one or more visual cues in the proximate vicinity of the computing device when the eye detecting module at least detects presence of a first one or more eyes associated with the first user and a second one or more eyes associated with the second user in the proximate vicinity of the computing device, the second one or more eyes being detected as being closer to the computing device than the first one or more eyes.

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4. The method of claim 1 , wherein the previous act by a user comprises a retrieval of the physical entity.

6. The method of any of claims 4 - 5 , wherein the previous act of retrieval was performed by a first user, and the act (E) comprises displaying the results to the first user.

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1. A method comprising: receiving, by one or more processors, a text string for a location or point of interest; receiving, by the one or more processors, a plurality of speech signals, each speech signal in the plurality of speech signals comprising a user pronunciation of the text string for the location or point of interest; adapting, by the one or more processors, a phoneme-based speech model based on the text string with the received plurality of speech signals; determining, by the one or more processors, a score for each of the received plurality of speech signals based on a similarity of each speech signal in the plurality of speech signals with the adapted phoneme-based speech model; the one or more processors selecting one of the plurality of speech signals as a most common pronunciation of the text string based on the determined scores; annotating, by the one or more processors, an electronic map including the location or point of interest with the most common pronunciation of the text string; and providing, by the one or more processors, audio information of the most common pronunciation to a given client device for a user of the given client device to hear the most common pronunciation.

7. The method of claim 1 , wherein audio information of the most common pronunciation is provided to a given client device for presentation to a user independent of a visual form of the location or point of interest displayed on the given client device.

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9. The system of claim 8 , wherein the second process maintains the software-level object in the first repository.

8. A system for managing documents, comprising: a processor; and a memory storing instructions that, when executed by the processor, cause the processor to perform: a first process to: retrieve a document including a document-level object and a placeholder object associated with metadata corresponding to a software-level object, the document-level object being configured in a first format associated with a first set of constraints, the metadata comprising an identifier of a first repository associated with the software-level object, wherein: a first process executed by a processor maintains the document-level object; and a second process executed by the processor maintains the software-level object; provide a query message identifying the metadata, the query message comprising the identifier; receive a response message to the generated query message including software-level object content having a second format associated with a second set of constraints; transform the second format of software-level object content included in the response message to the first format of the document-level object; and merge the software-level object content and document-level object into an output document; and a second process to: create the software level object; locate the first repository based on at least the identifier; identify the software-level object content based on at least the metadata; and provide the response message to the first process in response to the query message, wherein the first process generates the output document based on the transformed software-level object content and the document-level object, such that the software-level object content replaces the placeholder object in the output document.

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20. The non-transitory memory device of claim 15 , where the one or more instructions, to determine the plurality of word hypotheses for the voice query, further include: one or more instructions that, when executed by one or more processors, cause the one or more processors to: determine a feature vector based on the voice query; and determine the plurality of word hypotheses based on the feature vector.

15. A non-transitory memory device 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 a voice query; determine a plurality of word hypotheses for the voice query, each word hypothesis of the plurality of word hypotheses including a respective one or more terms; access a search query log; determine respective weights associated with the plurality of word hypotheses based on the search query log; generate, based on the respective weights, a first search query from the plurality of word hypotheses; access, based on the search query, a first set of search results; modify, based on the first set of search results, one or more of the weights; generate, based on modifying the one or more of the weights, a second search query from the plurality of word hypotheses; and obtain, based on the second search query, a second set of search results as a response to the voice query.

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8. A non-transitory computer readable storage medium including computer program instructions that when executed, cause a computer processor to perform operations comprising: receiving focus information descriptive of a search engine advertising campaign from an advertising campaign manager, the focus information comprising two or more keyword search strings, each keyword search string paired with at least one bid parameter, a relative importance of each keyword search string characterized by the at least one bid parameter; accessing a respective consumption history of each of a plurality of entities in a storage; identifying, at an audience selection system, a training set of entities from the storage by examining each of the respective consumption histories for one or more proxy events, each proxy event comprising a keyword search matching at least one of the two or more keyword search strings described in the focus information; weighting each proxy event according to the at least one bid parameter paired with each proxy event's keyword search string; creating a weighted training set by weighting each entity in the training set according to the proxy event weights of the one or more proxy events found in each entity's respective consumption history; building a behavioral model based on the weighted training set; receiving a specified entity's consumption history; and assessing the suitability of the specific entity for selection by applying the behavioral model to the specified entity's consumption history.

10. The medium of claim 8 wherein: the bid parameter decreases the weight of the proxy event.

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1. A method comprising: determining relationship types between at least some data items of a plurality of data items extracted from a plurality of data sources and integrated into a plurality of tables in a database, wherein the relationship types are based on respective data sources from which the data items have been extracted, the relationship types including at least two of the following: a first relationship type, a second relationship type, a third relationship type, and a fourth relationship type, wherein: the first relationship type is between first and second data items extracted from a first structured data source, the second relationship type is between data items extracted from different structured data sources, wherein the second relationship type is based on a plurality of respective first relationship types, the third relationship type is between a data item extracted from a second structured data source, and an entity table including, as entity table data items, attributes about a first unstructured data source, and wherein the data item extracted from the second structured data source is mentioned in the first unstructured data source, and the fourth relationship type is between two data items that: have been integrated from different structured data sources, and are both mentioned in a second unstructured data source; and displaying, on a user interface, relationship type indicia to indicate relationship types between displayed data items, the relationship type indicia including at least one of first indicia to indicate the first relationship type, second indicia to indicate the second relationship type, third indicia to indicate the third relationship type, and fourth indicia to indicate the fourth relationship type.

16. The method of claim 1 further comprising: displaying, concurrently, a plurality of panels on the user interface, including: an active panel displaying a selected data item, the selected data item selected from the plurality of data items, and a plurality of entity panels displaying data items, each having a respective determined relationship type to the selected data item.

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12. The at least one computer-readable storage medium of claim 10 , wherein the determining whether the ASR system identified the segment of the speech input as the first member for the first recognition result and as the second member for the second recognition result comprises determining whether a time within the speech input associated with the first member for the first recognition result matches a time within the speech input associated with the second member of the set for the second recognition result.

10. The at least one computer-readable storage medium of claim 9 , wherein: the at least one alternative recognition result comprises a second recognition result; the member of the set is a first member of the set; the at least one other member of the set associated with the member comprises a second member of the set; and the determining whether the first recognition result includes a member of the set and whether the at least one alternative recognition result includes any of the at least one other member comprises determining whether the ASR system recognized a segment of the speech input as the first member for the first recognition result and as the second member of the set for the second recognition result.