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16. An apparatus for generating a set of features comprising: a frequent pattern extractor configured for extracting frequent patterns from an input dataset of extracted text sequences; a feature selection module configured for identifying features from among the frequent patterns by filtering out: patterns which are not relevant by determining a symmetrical uncertainty which is a measure of the independence of each frequent pattern and a class label of a text sequence from which each frequent pattern was extracted, and patterns which are redundant, by employing a scalable filtering method to identify correlations between features by determining a symmetrical uncertainty for each of the features and their class label and a symmetrical uncertainty for their disjunction and the class label; and a feature fusion module configured for identifying features which are able to be merged and which merges two features into a single feature which is a disjunction of the features where the single feature is a Markov blanket of the two features; and a processor which executes the frequent pattern extractor and feature selection module. | 16. An apparatus for generating a set of features comprising: a frequent pattern extractor configured for extracting frequent patterns from an input dataset of extracted text sequences; a feature selection module configured for identifying features from among the frequent patterns by filtering out: patterns which are not relevant by determining a symmetrical uncertainty which is a measure of the independence of each frequent pattern and a class label of a text sequence from which each frequent pattern was extracted, and patterns which are redundant, by employing a scalable filtering method to identify correlations between features by determining a symmetrical uncertainty for each of the features and their class label and a symmetrical uncertainty for their disjunction and the class label; and a feature fusion module configured for identifying features which are able to be merged and which merges two features into a single feature which is a disjunction of the features where the single feature is a Markov blanket of the two features; and a processor which executes the frequent pattern extractor and feature selection module. 20. The method of claim 16 , wherein the merged feature F 1 F 2 is a Markov blanket for the two features F 2 and F 1 if: SU(Y, F 1 )>SU (Y, F 2 ), SU (Y, F 1 F 2 )>SU(Y, F 1 ), and SU (Y, F 1 F 2 )>SU (Y, F 2 ); where SU denotes symmetrical uncertainty and Y denotes one of the class labels. | 0.714874 |
15. The computer-readable medium of claim 14 , further comprising instructions for: retrieving, from the storage, an additional contextual pattern specifying an additional sequence of contextual labels; searching the received labelled contextual slices for an additional temporally contiguous group of contextual slices having the sequence of contextual labels specified by the pattern; identifying the additional temporally contiguous group of contextual slices as an additional matching group responsive to the additional temporally contiguous group of contextual slices having the additional sequence of contextual labels specified by the additional contextual pattern; determining whether the additional matching group of labelled contextual slices comprises at least a threshold number of contextual slices in common with the matching group of labelled contextual slices; and determining whether to merge the matching group and the additional matching group responsive to determining that the additional matching group comprises at least the threshold number of contextual slices in common with the matching group. | 15. The computer-readable medium of claim 14 , further comprising instructions for: retrieving, from the storage, an additional contextual pattern specifying an additional sequence of contextual labels; searching the received labelled contextual slices for an additional temporally contiguous group of contextual slices having the sequence of contextual labels specified by the pattern; identifying the additional temporally contiguous group of contextual slices as an additional matching group responsive to the additional temporally contiguous group of contextual slices having the additional sequence of contextual labels specified by the additional contextual pattern; determining whether the additional matching group of labelled contextual slices comprises at least a threshold number of contextual slices in common with the matching group of labelled contextual slices; and determining whether to merge the matching group and the additional matching group responsive to determining that the additional matching group comprises at least the threshold number of contextual slices in common with the matching group. 16. The computer-readable medium of claim 15 , wherein instructions for determining whether to merge the group and the additional group comprise instructions for: determining to merge the matching group and the additional matching group of labelled contextual slices responsive to determining that the additional matching group encompasses a shorter time duration than the matching group and responsive to determining that the matching group and the additional matching group are associated with group labels containing at least one matching non-temporal context. | 0.794932 |
2. The system of claim 1 , wherein the computing device is further operative to determine at least one additional location in which to present the good answer, said at least one additional location comprising a location other than the first discussion forum and the second discussion forum. | 2. The system of claim 1 , wherein the computing device is further operative to determine at least one additional location in which to present the good answer, said at least one additional location comprising a location other than the first discussion forum and the second discussion forum. 4. The system of claim 2 , wherein the at least one additional location comprises a discussion forum other than the first discussion forum and the second discussion forum. | 0.912413 |
1. A method for classifying a financial transaction of an item, comprising: receiving a text description of the item involved in the financial transaction; processing, using a computer processor, the text description of the item to generate a search term; selecting, based on the search term, a set of named categories of a plurality of named categories; conducting, using a first search engine determined by a search algorithm, a first search for the search term and each named category of the set of named categories; processing, using the computer processor, a first plurality of results of the first search; calculating, using the first plurality of results of the first search and an affinity algorithm, an affinity score of a plurality of affinity scores for each named category of the set of named categories; identifying a first target affinity score of the plurality of affinity scores, wherein the affinity algorithm for one of the set of named categories uses the function: log {n(x & y)/[n(x)×n(y)]}, wherein n(x) is a first number of web pages comprising the search term, n(y) is a second number of web pages comprising the one of the set of named categories, n(x & y) is a third number of web pages comprising the search term and the one of the set of named categories, and log is a logarithm; identifying a target category from the set of named categories based on the first target affinity score; presenting, to a user, the text description of the item involved in the financial transaction and the target category; receiving feedback that the target category for the financial transaction is incorrect; generating a revised set of named categories by removing the target category from the set of named categories; conducting, using the search algorithm, a second search for the search term and each named category of the revised set of named categories; and presenting, based on a second plurality of results of the second search, a revised target category based on a second target affinity score. | 1. A method for classifying a financial transaction of an item, comprising: receiving a text description of the item involved in the financial transaction; processing, using a computer processor, the text description of the item to generate a search term; selecting, based on the search term, a set of named categories of a plurality of named categories; conducting, using a first search engine determined by a search algorithm, a first search for the search term and each named category of the set of named categories; processing, using the computer processor, a first plurality of results of the first search; calculating, using the first plurality of results of the first search and an affinity algorithm, an affinity score of a plurality of affinity scores for each named category of the set of named categories; identifying a first target affinity score of the plurality of affinity scores, wherein the affinity algorithm for one of the set of named categories uses the function: log {n(x & y)/[n(x)×n(y)]}, wherein n(x) is a first number of web pages comprising the search term, n(y) is a second number of web pages comprising the one of the set of named categories, n(x & y) is a third number of web pages comprising the search term and the one of the set of named categories, and log is a logarithm; identifying a target category from the set of named categories based on the first target affinity score; presenting, to a user, the text description of the item involved in the financial transaction and the target category; receiving feedback that the target category for the financial transaction is incorrect; generating a revised set of named categories by removing the target category from the set of named categories; conducting, using the search algorithm, a second search for the search term and each named category of the revised set of named categories; and presenting, based on a second plurality of results of the second search, a revised target category based on a second target affinity score. 17. The method of claim 1 , wherein the text description is for a product of a manufacturer, and where in the target category is a section of an e-commerce site of a vendor offering the product for sale. | 0.699503 |
1. Portable device for communication by a user with a speech disability, comprising: a text entry interface, adapted to generate a sent text data stream imaging a message entered by the user at the text entry interface, a voice synthesis device, receiving the sent text data stream coming from the text entry interface, and converting it into a sent audio signal stream, an audio output interface, receiving the sent audio signal stream, and converting it into a sent acoustic wave stream imaging the sent text data stream and audible in the immediate environment of the portable device, wherein the device is implemented on a mobile telephone hardware base incorporating personal digital assistant (PDA) functions and provided with an open operating system, with a touch screen, a data processing architecture, and a digital signal processing body, wherein the text entry interface is connected to the voice synthesis device by an open programming interface (API), including an interface subroutine that can be programmed and have its parameters set for adaptation to different input interface modules. | 1. Portable device for communication by a user with a speech disability, comprising: a text entry interface, adapted to generate a sent text data stream imaging a message entered by the user at the text entry interface, a voice synthesis device, receiving the sent text data stream coming from the text entry interface, and converting it into a sent audio signal stream, an audio output interface, receiving the sent audio signal stream, and converting it into a sent acoustic wave stream imaging the sent text data stream and audible in the immediate environment of the portable device, wherein the device is implemented on a mobile telephone hardware base incorporating personal digital assistant (PDA) functions and provided with an open operating system, with a touch screen, a data processing architecture, and a digital signal processing body, wherein the text entry interface is connected to the voice synthesis device by an open programming interface (API), including an interface subroutine that can be programmed and have its parameters set for adaptation to different input interface modules. 2. Device according to claim 1 , wherein the text entry interface includes a plurality of text entry modules each of which is adapted to generate a sent text data stream in response to a different action of the user and to transmit the sent text data stream to the voice synthesis device. | 0.696696 |
16. A document separation system comprising: a processor; and a memory coupled to the processor, the memory storing processor executable instructions which, when executed by the processor cause the processor to: determine quality scores for a plurality of the documents in the set of related documents based on comparisons with a predetermined value; obtain a similarity score for a plurality of pairs of documents in the set of related document; and obtain a first subset of related documents which solves an optimization problem, the first subset of related documents being a subset of the set of related documents, the optimization problem being a function of one or more quality scores of the documents assigned to the first subset of related documents and one or more similarity scores of pairs of documents assigned to the first subset of related documents, wherein the optimization problem maximizes an evaluation function and wherein the evaluation function is: f ( A ) = ∑ v ∈ V u v ( v , A ( v ) ) + ∑ v 1 , v 2 ∈ E u E ( v 1 , v 2 , A ( v 1 ) , A ( v 2 ) ) where v is a document, A(v) is a labelling function which assigns a document, v, to either the first subset of related documents or a second subset of related documents, V is the set of related documents, u v (v,A(v)) is a function of the quality score of a document v, E is a set of all pairs of documents and u E (v 1 ,v 1 ,A(v 1 ),A(v 2 )) is a function of the similarly score between document v 1 and v 2 . | 16. A document separation system comprising: a processor; and a memory coupled to the processor, the memory storing processor executable instructions which, when executed by the processor cause the processor to: determine quality scores for a plurality of the documents in the set of related documents based on comparisons with a predetermined value; obtain a similarity score for a plurality of pairs of documents in the set of related document; and obtain a first subset of related documents which solves an optimization problem, the first subset of related documents being a subset of the set of related documents, the optimization problem being a function of one or more quality scores of the documents assigned to the first subset of related documents and one or more similarity scores of pairs of documents assigned to the first subset of related documents, wherein the optimization problem maximizes an evaluation function and wherein the evaluation function is: f ( A ) = ∑ v ∈ V u v ( v , A ( v ) ) + ∑ v 1 , v 2 ∈ E u E ( v 1 , v 2 , A ( v 1 ) , A ( v 2 ) ) where v is a document, A(v) is a labelling function which assigns a document, v, to either the first subset of related documents or a second subset of related documents, V is the set of related documents, u v (v,A(v)) is a function of the quality score of a document v, E is a set of all pairs of documents and u E (v 1 ,v 1 ,A(v 1 ),A(v 2 )) is a function of the similarly score between document v 1 and v 2 . 26. The document separation system of claim 16 , wherein obtaining a first subset of related documents which solves an optimization problem comprises: performing a local search to identify a separation of documents into two or more subsets of related documents which represents a local optimization of the optimization problem. | 0.695758 |
19. The one or more non-transitory computer-readable storage media of claim 15 , wherein the operations further comprise modifying, in response to determining that the web page has been opted in to the translation feature, a document object model (DOM) of the web page to include JavaScript for providing additional content for the translated web page. | 19. The one or more non-transitory computer-readable storage media of claim 15 , wherein the operations further comprise modifying, in response to determining that the web page has been opted in to the translation feature, a document object model (DOM) of the web page to include JavaScript for providing additional content for the translated web page. 20. The one or more non-transitory computer-readable storage media of claim 19 , wherein the additional content comprises links, images, or articles in the target language based on a profile or a search history of the computing device. | 0.861722 |
11. Apparatus for the modeling and query of information systems using natural-language like constructs on a general-purpose programmable computer, the computer having a database implemented thereon, and including central processing means, bus means, display means, data entry means, memory means, and graphical user interface, the apparatus further comprising: information system specification means including, (a) text entry window, in operative combination with the data entry means, for entering text including objects, facts and constraints using the textual form of a computer language having both textural and graphical forms, and which approximates natural language, the computer language for translating the natural language-like constructs into object-role modeling symbology, (b) drag and drop translation means in operative combination with the graphical user interface, for dragging the text from the text entry window to the appropriate place over a conceptual schema diagram implemented on the display means, (c) parse means, responsive to the drag and drop means for parsing the text into at least one of fact, object and constraint, and for creating an object list, a fact list and a constraint list in the memory means, (d) compilation means for compiling the text into a repository, (e) drawing means, in operative combination with the graphic user interface and the graphical form of the computer language, for drawing the object, fact and constraint onto the conceptual schema diagram, (e) relational mapping means for mapping the conceptual schema depicted in conceptual schema diagram to a database further implemented on the computer, query specification means including fact tree specification means responsive to the information system specification means for specifying the fact tree used to process a desired query, the fact tree selection means including, (a) object selection means, for selecting an object, from the repository, relevant to the query, (b) fact selection means, for selecting a fact, from the repository, relevant to the query, (c) the display means further configured to display the object and the fact in conceptual form, (d) fact tree build means, further responsive to the object selection means and the fact selection means for building a fact tree equivalent to the query, (e) constraint selection means for restricting the object at a root node of the fact tree to include only those objects in which a user is interested; and query generation means, responsive to the fact tree specification means for generating the desired query. | 11. Apparatus for the modeling and query of information systems using natural-language like constructs on a general-purpose programmable computer, the computer having a database implemented thereon, and including central processing means, bus means, display means, data entry means, memory means, and graphical user interface, the apparatus further comprising: information system specification means including, (a) text entry window, in operative combination with the data entry means, for entering text including objects, facts and constraints using the textual form of a computer language having both textural and graphical forms, and which approximates natural language, the computer language for translating the natural language-like constructs into object-role modeling symbology, (b) drag and drop translation means in operative combination with the graphical user interface, for dragging the text from the text entry window to the appropriate place over a conceptual schema diagram implemented on the display means, (c) parse means, responsive to the drag and drop means for parsing the text into at least one of fact, object and constraint, and for creating an object list, a fact list and a constraint list in the memory means, (d) compilation means for compiling the text into a repository, (e) drawing means, in operative combination with the graphic user interface and the graphical form of the computer language, for drawing the object, fact and constraint onto the conceptual schema diagram, (e) relational mapping means for mapping the conceptual schema depicted in conceptual schema diagram to a database further implemented on the computer, query specification means including fact tree specification means responsive to the information system specification means for specifying the fact tree used to process a desired query, the fact tree selection means including, (a) object selection means, for selecting an object, from the repository, relevant to the query, (b) fact selection means, for selecting a fact, from the repository, relevant to the query, (c) the display means further configured to display the object and the fact in conceptual form, (d) fact tree build means, further responsive to the object selection means and the fact selection means for building a fact tree equivalent to the query, (e) constraint selection means for restricting the object at a root node of the fact tree to include only those objects in which a user is interested; and query generation means, responsive to the fact tree specification means for generating the desired query. 12. The apparatus of claim 11 wherein the information system specification means further comprises means, responsive to the conceptual schema diagram, for creating a textual listing of the objects, facts and constraints in the repository. | 0.5 |
224. The system of claim 203 , further comprising: means for receiving the job description; means for storing the job description in the resume database; and means for sending a portion of the result set to a recruiter, wherein the result set includes at least one matching resume from the resume database, each said at least one matching resume satisfying the job description. | 224. The system of claim 203 , further comprising: means for receiving the job description; means for storing the job description in the resume database; and means for sending a portion of the result set to a recruiter, wherein the result set includes at least one matching resume from the resume database, each said at least one matching resume satisfying the job description. 233. The system of claim 224 , further comprising: means for identifying as a selected resume one of said at least one matching resume; and means for displaying the selected resume on a display screen having a left side and a right side, the left side showing a parsed representation of the selected resume, and the right side showing a marked-up representation of the selected resume. | 0.875454 |
5. The computer-implemented method of claim 1 , wherein identifying the plurality of n-grams within the behavioral trace comprises identifying the plurality of n-grams within a substring of the behavioral trace. | 5. The computer-implemented method of claim 1 , wherein identifying the plurality of n-grams within the behavioral trace comprises identifying the plurality of n-grams within a substring of the behavioral trace. 7. The computer-implemented method of claim 5 , wherein identifying the plurality of n-grams within the substring of the behavioral trace comprises dividing the behavioral trace into a plurality of fixed-length substrings and identifying the plurality of n-grams within a fixed-length substring within the plurality of fixed-length substrings. | 0.904573 |
1. A computer-readable storage medium comprising stored instructions that are executable and, responsive to execution of the instructions by a computing device, the computing device performs operations to: receive an indication that a printout of a word processing document from a printer has been requested, the word processing document having content with a format that would result in a first quantity of pages being printed; segment the content into one or more regions according to a set of grouping rules, the set of grouping rules defining a region having at least one homogeneous characteristic; filter one or more potential transformations for each region to generate one or more filtered transformations based on a set of rules that restricts a transformation according to a region type, the region type being determined by the at least one homogeneous characteristic for each region; evaluate a cost function for each of the one or more filtered transformations to determine an appearance effect on one or more appearance attributes for the word processing document; reject one or more of the filtered transformations to the word processing document that will result in a loss of information including at least one of unreadable text or an image obscured by text; and apply one or more of the filtered transformations that are not rejected to the content individually for each region to print the word processing document with the content in a transformed format that results in a second quantity of pages being printed without falling below a predetermined readability threshold, the second quantity of pages being less than the first quantity of pages. | 1. A computer-readable storage medium comprising stored instructions that are executable and, responsive to execution of the instructions by a computing device, the computing device performs operations to: receive an indication that a printout of a word processing document from a printer has been requested, the word processing document having content with a format that would result in a first quantity of pages being printed; segment the content into one or more regions according to a set of grouping rules, the set of grouping rules defining a region having at least one homogeneous characteristic; filter one or more potential transformations for each region to generate one or more filtered transformations based on a set of rules that restricts a transformation according to a region type, the region type being determined by the at least one homogeneous characteristic for each region; evaluate a cost function for each of the one or more filtered transformations to determine an appearance effect on one or more appearance attributes for the word processing document; reject one or more of the filtered transformations to the word processing document that will result in a loss of information including at least one of unreadable text or an image obscured by text; and apply one or more of the filtered transformations that are not rejected to the content individually for each region to print the word processing document with the content in a transformed format that results in a second quantity of pages being printed without falling below a predetermined readability threshold, the second quantity of pages being less than the first quantity of pages. 10. The computer-readable storage medium of claim 1 , wherein the computing device performs the operations further comprising to determine a green score of the word processing document. | 0.740648 |
23. The apparatus of claim 22 , wherein the circuit design does not satisfy the assertion if a state exists in which the second subset of assumptions is satisfied but the assertion is not satisfied. | 23. The apparatus of claim 22 , wherein the circuit design does not satisfy the assertion if a state exists in which the second subset of assumptions is satisfied but the assertion is not satisfied. 24. The apparatus of claim 23 , wherein if the verification mechanism determines that the assertion is satisfied whenever the second subset of assumptions is satisfied, the approximation mechanism is further configured to modify the first subset of assumptions to obtain a third subset of assumptions which is not logically equivalent to the first subset of assumptions, and which is different from the second subset of assumptions, and the verification mechanism is further configured to verify the circuit design by at least determining whether the circuit design satisfies the assertion when the third subset of assumptions is satisfied. | 0.757802 |
9. A computing device to provide a metadata based search in an e-reader environment, the computing device comprising: a memory configured to store instructions; and a processor coupled to the memory, the processor executing an e-reader application in conjunction with the instructions stored in the memory, wherein the e-reader application is configured to: determine search terms based on a selected portion of displayed content; generate a query for a search based on the selected portion; determine the metadata associated with one or more objects, wherein the one or more objects include embedded images, embedded graphical objects, and one or more interactive objects, interactive puzzle objects, embedded video objects, and embedded audio objects; perform optical character recognition on each of the embedded images and the embedded graphical objects to retrieve textual content and key terms from each of the embedded images and the embedded graphical objects; index the metadata, wherein the metadata includes the textual content and the key terms; augment the query based on the metadata, wherein the metadata is associated with one or more attributes of each of the one or more objects and includes at least one from a set of dimensions, types, titles, and tags of the one or more objects; categorize a summary of query results based on the metadata; and present the summary of the query results in a results pane on a user interface. | 9. A computing device to provide a metadata based search in an e-reader environment, the computing device comprising: a memory configured to store instructions; and a processor coupled to the memory, the processor executing an e-reader application in conjunction with the instructions stored in the memory, wherein the e-reader application is configured to: determine search terms based on a selected portion of displayed content; generate a query for a search based on the selected portion; determine the metadata associated with one or more objects, wherein the one or more objects include embedded images, embedded graphical objects, and one or more interactive objects, interactive puzzle objects, embedded video objects, and embedded audio objects; perform optical character recognition on each of the embedded images and the embedded graphical objects to retrieve textual content and key terms from each of the embedded images and the embedded graphical objects; index the metadata, wherein the metadata includes the textual content and the key terms; augment the query based on the metadata, wherein the metadata is associated with one or more attributes of each of the one or more objects and includes at least one from a set of dimensions, types, titles, and tags of the one or more objects; categorize a summary of query results based on the metadata; and present the summary of the query results in a results pane on a user interface. 10. The computing device of claim 9 , wherein the metadata is created for the one or more objects based on one or more of a default rule and a custom rule. | 0.533866 |
8. A music search apparatus comprising: a music database storing a pronunciation dictionary with respect to music and music information; a feature extraction unit extracting a feature vector sequence from a speech signal; a phoneme decoding unit decoding the feature vector sequence into a candidate phoneme sequence; a matching unit matching the candidate phoneme sequence with a reference phoneme pattern in the pronunciation dictionary with respect to the music information, with the pronunciation dictionary relating pronunciation differences between a pronunciation of sequenced partial symbols and a pronunciation of a single partial symbol within the sequenced partial symbols or a pronunciation of a sequence of partial symbols less than all of the sequenced partial symbols within the sequenced partial a calculation unit calculating a match score according to a result of the matching; and a display unit displaying a music information search result according to the calculated match score. | 8. A music search apparatus comprising: a music database storing a pronunciation dictionary with respect to music and music information; a feature extraction unit extracting a feature vector sequence from a speech signal; a phoneme decoding unit decoding the feature vector sequence into a candidate phoneme sequence; a matching unit matching the candidate phoneme sequence with a reference phoneme pattern in the pronunciation dictionary with respect to the music information, with the pronunciation dictionary relating pronunciation differences between a pronunciation of sequenced partial symbols and a pronunciation of a single partial symbol within the sequenced partial symbols or a pronunciation of a sequence of partial symbols less than all of the sequenced partial symbols within the sequenced partial a calculation unit calculating a match score according to a result of the matching; and a display unit displaying a music information search result according to the calculated match score. 12. The apparatus of claim 8 , further comprising a music information generation unit extracting a recognition target vocabulary from a predetermined music file, and generating the music information with respect to the extracted recognition target vocabulary. | 0.542982 |
21. A system for analyzing and reporting on behavior of organizations, the system comprising: input data of an at least one body of data associated with an organization, where the at least one body of data is comprised of an at least one of the group of application data, databases, personnel records, survey and interview data, publicly and quasi-publicly available web data including logs, email communications, text communications, audio recordings, video recordings, images, electronic records, news articles, and records' contextual data; an analytics engine, where the analytics engine labels elements of the at least one body of data with tags and other types of metadata; the analytics engine determines, for an author of data, an at least one property from the group of insider/outsider status, perspective, credibility score, sincerity, objectivity, actions, and demographic attributes; the analytics engine assesses an at least one additional property of authors selected from the group of credibility, sincerity, objectivity, and knowledgeableness; the analytics engine assesses an at least one of the group of stability level, engagement levels, energy levels, organizational character, culture properties; the analytics engine assesses informational value property of data items; the analytics engine determines engagement and energy levels, where the determination of engagement and energy levels comprises assessing an at least one of the group of attitudes, beliefs, sentiment, tone, observations, and actionable suggestions; the analytics engine assesses organizational culture and character, the analytics engine assesses an at least one abstract trait; where the analytics engine further determines, for the organization, an assessment of an at least one from the group of future behavior, bases for past behavior, organizational character, organizational opportunities, benchmarking, and organizational adversities; an interface for receiving comment groups and findings. | 21. A system for analyzing and reporting on behavior of organizations, the system comprising: input data of an at least one body of data associated with an organization, where the at least one body of data is comprised of an at least one of the group of application data, databases, personnel records, survey and interview data, publicly and quasi-publicly available web data including logs, email communications, text communications, audio recordings, video recordings, images, electronic records, news articles, and records' contextual data; an analytics engine, where the analytics engine labels elements of the at least one body of data with tags and other types of metadata; the analytics engine determines, for an author of data, an at least one property from the group of insider/outsider status, perspective, credibility score, sincerity, objectivity, actions, and demographic attributes; the analytics engine assesses an at least one additional property of authors selected from the group of credibility, sincerity, objectivity, and knowledgeableness; the analytics engine assesses an at least one of the group of stability level, engagement levels, energy levels, organizational character, culture properties; the analytics engine assesses informational value property of data items; the analytics engine determines engagement and energy levels, where the determination of engagement and energy levels comprises assessing an at least one of the group of attitudes, beliefs, sentiment, tone, observations, and actionable suggestions; the analytics engine assesses organizational culture and character, the analytics engine assesses an at least one abstract trait; where the analytics engine further determines, for the organization, an assessment of an at least one from the group of future behavior, bases for past behavior, organizational character, organizational opportunities, benchmarking, and organizational adversities; an interface for receiving comment groups and findings. 25. The system of claim 21 where the analytic engine comprises an elimination of data polluting the data source through statistical outlier analysis, and segregation of questionable data for removal of the user-adjudication queue. | 0.5806 |
1. A method for identifying elements of a system, the method implemented by at least one computer processor coupled to at least one data storage device and comprising: providing a system element store comprising machine-readable representations of system models comprising system elements classified as a whole element of a whole-part relationship, an entity element of an entity-relation-entity relationship, a pair of entity elements of an entity-relation-entity relationship, or a relation element of an entity-relation-entity relationship; electronically receiving a graphical user interface input identifying a system model as a selected electronic representation of the system; in response to the graphical user interface input, extracting corresponding system elements of the identified system model from the system element store, and automatically formulating a query from the extracted system elements, wherein the extracted system elements represent a set of system objectives; searching one or more mereological and functional relationship databases using a knowledge search engine, the one or more merelogical and functional relationship databases including one or more general document repositories that are semantically indexed and contain non-hierarchical database structures and additional one or more knowledge bases selected from the group consisting of: one or more locally accessible knowledge bases, one or more knowledge bases containing corporate knowledge, and one or more publicly accessible knowledge bases; using the query to retrieve component elements useful to form the extracted system elements and identify functional interactions between the component elements, wherein the component elements represent parts of entity-relationship-entity relationships represented in the identified system model; and storing and displaying the retrieved component elements and identified functional interactions as search results in association with the extracted system elements, wherein the search results are represented as user-selectable options indicating design alternatives to satisfy the set of system objectives of the system. | 1. A method for identifying elements of a system, the method implemented by at least one computer processor coupled to at least one data storage device and comprising: providing a system element store comprising machine-readable representations of system models comprising system elements classified as a whole element of a whole-part relationship, an entity element of an entity-relation-entity relationship, a pair of entity elements of an entity-relation-entity relationship, or a relation element of an entity-relation-entity relationship; electronically receiving a graphical user interface input identifying a system model as a selected electronic representation of the system; in response to the graphical user interface input, extracting corresponding system elements of the identified system model from the system element store, and automatically formulating a query from the extracted system elements, wherein the extracted system elements represent a set of system objectives; searching one or more mereological and functional relationship databases using a knowledge search engine, the one or more merelogical and functional relationship databases including one or more general document repositories that are semantically indexed and contain non-hierarchical database structures and additional one or more knowledge bases selected from the group consisting of: one or more locally accessible knowledge bases, one or more knowledge bases containing corporate knowledge, and one or more publicly accessible knowledge bases; using the query to retrieve component elements useful to form the extracted system elements and identify functional interactions between the component elements, wherein the component elements represent parts of entity-relationship-entity relationships represented in the identified system model; and storing and displaying the retrieved component elements and identified functional interactions as search results in association with the extracted system elements, wherein the search results are represented as user-selectable options indicating design alternatives to satisfy the set of system objectives of the system. 2. The method according to claim 1 , wherein the system elements of the system element store are classified prior to formulating the query. | 0.531157 |
6. The computer-implemented method of claim 1 , wherein the one or more signals includes one or more characteristics of the partial search query. | 6. The computer-implemented method of claim 1 , wherein the one or more signals includes one or more characteristics of the partial search query. 8. The computer-implemented method of claim 6 , wherein the one or more characteristics of the partial search query include a length of the partial search query. | 0.926895 |
12. A handwriting input method comprising steps of: detecting an input action of an user who is performing the suspending handwriting input with a handwriting input apparatus, the suspending handwriting input being configured to perform line inputting and erasing of the existing lines, the line inputting including inputting of characters and graphics; converting the input action to input information; and transmitting the input information via communication to a display device for receiving and displaying the input information; wherein the input action is considered as an inactive motion in a case where an action switching circuit in the handwriting input apparatus has a higher priority and is switched to an inactive motion. | 12. A handwriting input method comprising steps of: detecting an input action of an user who is performing the suspending handwriting input with a handwriting input apparatus, the suspending handwriting input being configured to perform line inputting and erasing of the existing lines, the line inputting including inputting of characters and graphics; converting the input action to input information; and transmitting the input information via communication to a display device for receiving and displaying the input information; wherein the input action is considered as an inactive motion in a case where an action switching circuit in the handwriting input apparatus has a higher priority and is switched to an inactive motion. 17. The method according to claim 12 , wherein when the handwriting input apparatus uses the display screen of the display device as a handwriting input plane for the suspending handwriting input, and in the step of detecting the input action of the user who is performing the suspending handwriting input with the handwriting input apparatus, the input action of the user who is performing the suspending handwriting input with the handwriting input apparatus is detected as a click operation, the step of converting the input action into input information comprises: converting the click operation into input information for “one dot”; the step of transmitting the input information via communication to the display device for receiving and displaying the input information comprises: transmitting the input information for “one dot” to the display device via communication, so that a position on the display screen of the display device corresponding to the input information is clicked. | 0.5 |
12. A system providing reference information, including: a first computing system that executes a first process for generating the shell document on a display, rendering the shell document for editing by an author, and receiving a first request from the author to insert a reference to a first fragment object in the shell document, the first request including a parameter provided by the author, wherein the shell document is separate from the fragment object and the first fragment object is of a first type; and a second computing system having a storage device and configured to: provide to display, a list of fragment objects by searching through the storage device using the parameter as search criteria, the fragment objects being stored in the storage device; receiving, from the first computing system, a selection of the first fragment object, the fragment object being a known fragment object and being selected from the list of fragment objects; comparing a predetermined rule associated with the first fragment object with the first type to determine an identity of a first property that is compatible with the first fragment object; search, in the storage device, for the first property; determine whether the first property can be dynamically generated when the search is unsuccessful, wherein a message is provided to indicate that the first property is not available when the search result is unsuccessful and when the first property cannot be dynamically generated; retrieving the first property from the storage device when the search is successful; generate, based on the predetermined rule, the first property when it is determined that the first property can be dynamically generated, the first property including textual information describing a characteristic of the fragment object, wherein the first property included in the response data is the retrieved first property when the search is successful, and wherein the first property included in the response data is the generated first property when the search is unsuccessful; generate the reference to the first fragment object based on the first request; and provide to the first computing system the generated reference to the first fragment object and the first property; wherein the first computing system updates the rendering of the shell document by editing the rendered shell document based on commands inputted by the author and by including the reference to the first fragment object and the first property into an author identified location within the rendered shell document the first property conveying the characteristic of the fragment object in a user-ascertainable format by using the textual information to describe the characteristic of the fragment object, the reference being inserted without inserting the fragment object, that is known, in the shell document. | 12. A system providing reference information, including: a first computing system that executes a first process for generating the shell document on a display, rendering the shell document for editing by an author, and receiving a first request from the author to insert a reference to a first fragment object in the shell document, the first request including a parameter provided by the author, wherein the shell document is separate from the fragment object and the first fragment object is of a first type; and a second computing system having a storage device and configured to: provide to display, a list of fragment objects by searching through the storage device using the parameter as search criteria, the fragment objects being stored in the storage device; receiving, from the first computing system, a selection of the first fragment object, the fragment object being a known fragment object and being selected from the list of fragment objects; comparing a predetermined rule associated with the first fragment object with the first type to determine an identity of a first property that is compatible with the first fragment object; search, in the storage device, for the first property; determine whether the first property can be dynamically generated when the search is unsuccessful, wherein a message is provided to indicate that the first property is not available when the search result is unsuccessful and when the first property cannot be dynamically generated; retrieving the first property from the storage device when the search is successful; generate, based on the predetermined rule, the first property when it is determined that the first property can be dynamically generated, the first property including textual information describing a characteristic of the fragment object, wherein the first property included in the response data is the retrieved first property when the search is successful, and wherein the first property included in the response data is the generated first property when the search is unsuccessful; generate the reference to the first fragment object based on the first request; and provide to the first computing system the generated reference to the first fragment object and the first property; wherein the first computing system updates the rendering of the shell document by editing the rendered shell document based on commands inputted by the author and by including the reference to the first fragment object and the first property into an author identified location within the rendered shell document the first property conveying the characteristic of the fragment object in a user-ascertainable format by using the textual information to describe the characteristic of the fragment object, the reference being inserted without inserting the fragment object, that is known, in the shell document. 13. The system of claim 12 , wherein the shell document includes a reference to a second fragment object having a corresponding second property and wherein the first computing system renders an updated shell document on a user interface, the updated shell document including the reference to the first fragment object, the first property, the reference to the second fragment object and the second property. | 0.510601 |
15. The method as claimed in claim 13 , wherein the information describing the association comprises the virtual addresses, and each virtual address refers to a memory location at which one of the machine words is stored. | 15. The method as claimed in claim 13 , wherein the information describing the association comprises the virtual addresses, and each virtual address refers to a memory location at which one of the machine words is stored. 16. The method as claimed in claim 15 , wherein the describing information comprises a first virtual address and a second virtual address, the first virtual address refers to a first memory location for storing a first machine word, the second virtual address refers to a second memory location for storing a second machine word, and during the alteration of the association the first virtual address refers to the second memory location. | 0.892138 |
9. A computer software product comprising machine executable instructions stored in a non-transitory storage medium, wherein the machine executable instructions, when executed by a processor of a computer, perform: deriving a meta-model, the meta-model being independent of a particular software application, the derivation comprising identifying a subset of common structures and functions from a plurality of enterprise resource planning applications; deriving a plurality of software models from a specific enterprise resource planning application by executing at least one query on a repository associated with the specific enterprise resource planning application, wherein each of the plurality of software models is compliant with the meta-model by sharing the subset of common structures and functions; and deriving a customer specific software application from the specific enterprise resource planning application and the plurality of software models to enable interacting with the specific enterprise resource planning application using the plurality of software models. | 9. A computer software product comprising machine executable instructions stored in a non-transitory storage medium, wherein the machine executable instructions, when executed by a processor of a computer, perform: deriving a meta-model, the meta-model being independent of a particular software application, the derivation comprising identifying a subset of common structures and functions from a plurality of enterprise resource planning applications; deriving a plurality of software models from a specific enterprise resource planning application by executing at least one query on a repository associated with the specific enterprise resource planning application, wherein each of the plurality of software models is compliant with the meta-model by sharing the subset of common structures and functions; and deriving a customer specific software application from the specific enterprise resource planning application and the plurality of software models to enable interacting with the specific enterprise resource planning application using the plurality of software models. 14. The software product of claim 9 , wherein each of the plurality of software models is derived using a common build context. | 0.597635 |
9. A system for processing a web-based data form, comprising: a server that is arranged to provide a web page associated with the data form, wherein the data form comprises controls; wherein each of the controls comprise a web page form field; wherein each of the controls include form control code that provides functionality for viewing, deleting, updating, and inserting a value in the web page form field; wherein each of the controls is instantiated based on a current value that is obtained from a data source comprising fields; wherein the data source stores data binding information that maintains a relationship between each of the web page form fields of the data form and corresponding fields of the data source; wherein the data binding information for each control includes an identifier for identifying the control and the field, a name of the form field, and a value of the form field that is stored in the form field; receiving a new value in one of the web page form fields for one of the controls; generating current data binding information for the web page form field and the control receiving the new value; determining when the value of the form field has changed by comparing the current data binding information associated with the control to the data binding information in the record of the data source; and when the value has changed, storing the changed form field in the web-based data form and updating the data source for the changed form field using the current data binding information. | 9. A system for processing a web-based data form, comprising: a server that is arranged to provide a web page associated with the data form, wherein the data form comprises controls; wherein each of the controls comprise a web page form field; wherein each of the controls include form control code that provides functionality for viewing, deleting, updating, and inserting a value in the web page form field; wherein each of the controls is instantiated based on a current value that is obtained from a data source comprising fields; wherein the data source stores data binding information that maintains a relationship between each of the web page form fields of the data form and corresponding fields of the data source; wherein the data binding information for each control includes an identifier for identifying the control and the field, a name of the form field, and a value of the form field that is stored in the form field; receiving a new value in one of the web page form fields for one of the controls; generating current data binding information for the web page form field and the control receiving the new value; determining when the value of the form field has changed by comparing the current data binding information associated with the control to the data binding information in the record of the data source; and when the value has changed, storing the changed form field in the web-based data form and updating the data source for the changed form field using the current data binding information. 10. The system of claim 9 , wherein the server is further arranged to instantiate the control by: processing Extensible Stylesheet Language Transformation (XSLT) code associated with the data form into intermediate code; retrieving Extensible Markup Language (XML) data associated with the data source; and generating the control from the intermediate code and the Extensible Markup Language (XML) data. | 0.562377 |
9. A method for processing a speech in conjunction with a system of universal time that provides a same absolute time for every geographical location on Earth, said method comprising: entering at least one selection command on an auditor device, said auditor device being a computing device, each selection command entered in real-time response to a spoken hyperlinked term of the speech, each spoken hyperlinked term appearing in a record of a plurality of records of a Speech Hyperlink-Time table comprised by a speech server, each record of the Speech Hyperlink-Time table comprising a hyperlinked term of the speech, a universal time at which the hyperlinked term was spoken during the speech, and a network address linking the hyperlinked term to information relating to the hyperlinked term, said information being on a server of a network; and for each selection command entered: determining a universal time at which the selection command was entered and recording the determined universal time in a record of a Selections Hyperlink-Time table comprised by the auditor device. | 9. A method for processing a speech in conjunction with a system of universal time that provides a same absolute time for every geographical location on Earth, said method comprising: entering at least one selection command on an auditor device, said auditor device being a computing device, each selection command entered in real-time response to a spoken hyperlinked term of the speech, each spoken hyperlinked term appearing in a record of a plurality of records of a Speech Hyperlink-Time table comprised by a speech server, each record of the Speech Hyperlink-Time table comprising a hyperlinked term of the speech, a universal time at which the hyperlinked term was spoken during the speech, and a network address linking the hyperlinked term to information relating to the hyperlinked term, said information being on a server of a network; and for each selection command entered: determining a universal time at which the selection command was entered and recording the determined universal time in a record of a Selections Hyperlink-Time table comprised by the auditor device. 13. The method of claim 9 , wherein the system of universal time is selected from the group consisting of a system of Global Positioning System (GPS) time, a system of Universal Time Co-ordinated (UTC) time, a system of Greenwich Mean Time (GMT), and a system of time derived from a free-running atomic clock of a GPS satellite. | 0.752976 |
1. A computer-implemented method for providing recommendations to a user to obfuscate an entity context in a sensory environment, the method comprising: receiving entity data and sensory environment data from a plurality of sources; analyzing, by a processor, the entity data to obtain categorized entity data, wherein the categorized entity data comprises a plurality of features indicating characteristics of the entity context; analyzing, by the processor, the sensory environment data to obtain categorized sensory environment data; determining, by the processor, a correlation score for each of the plurality of features by correlating the categorized entity data and the categorized sensory environment data; and recommending, by the processor, at least one of the plurality of features, based on the correlation score, to obfuscate the entity context in the sensory environment, wherein the recommending comprises at least one of: recommending the at least one of the plurality of features requiring a minimum modification to obfuscate the entity context in the sensory environment, and recommending the at least one of the plurality of features requiring a maximum modification to obfuscate the entity context in the sensory environment. | 1. A computer-implemented method for providing recommendations to a user to obfuscate an entity context in a sensory environment, the method comprising: receiving entity data and sensory environment data from a plurality of sources; analyzing, by a processor, the entity data to obtain categorized entity data, wherein the categorized entity data comprises a plurality of features indicating characteristics of the entity context; analyzing, by the processor, the sensory environment data to obtain categorized sensory environment data; determining, by the processor, a correlation score for each of the plurality of features by correlating the categorized entity data and the categorized sensory environment data; and recommending, by the processor, at least one of the plurality of features, based on the correlation score, to obfuscate the entity context in the sensory environment, wherein the recommending comprises at least one of: recommending the at least one of the plurality of features requiring a minimum modification to obfuscate the entity context in the sensory environment, and recommending the at least one of the plurality of features requiring a maximum modification to obfuscate the entity context in the sensory environment. 3. The method of claim 1 , wherein receiving the entity data further comprises: generating at least one input field seeking the entity data from the user; and obtaining a user input in the at least one input field from the user. | 0.752165 |
1. A computer-implemented method for managing a collaborative deal transaction process that provides for tracking and managing signature pages of a deal transaction using a taxonomy displayable by a computing device, the method comprising the steps of: receiving a list of users that are authorized to access the deal transaction, the list including an identifier associated with each of the users; storing the list of authorized users; parsing the identifier associated with each user, wherein the identifier includes one from the group consisting of an email address, a domain name, a name of a company or group, and any combination thereof of the authorized users; grouping the users according to parties based on the identifier; creating a taxonomy by the computing device including a listing of documents relevant to the deal and a listing of the parties of the deal; receiving at least one document; and storing relevant pages of the at least one document, wherein each page is associated with at least one relevant party in the taxonomy. | 1. A computer-implemented method for managing a collaborative deal transaction process that provides for tracking and managing signature pages of a deal transaction using a taxonomy displayable by a computing device, the method comprising the steps of: receiving a list of users that are authorized to access the deal transaction, the list including an identifier associated with each of the users; storing the list of authorized users; parsing the identifier associated with each user, wherein the identifier includes one from the group consisting of an email address, a domain name, a name of a company or group, and any combination thereof of the authorized users; grouping the users according to parties based on the identifier; creating a taxonomy by the computing device including a listing of documents relevant to the deal and a listing of the parties of the deal; receiving at least one document; and storing relevant pages of the at least one document, wherein each page is associated with at least one relevant party in the taxonomy. 4. A method according to claim 1 , wherein the taxonomy is displayed in the form of a spreadsheet. | 0.602689 |
2. The computer-implemented method of claim 1 , wherein obtaining an ordered set of category values includes for each data entry of the ranked data entries, selecting a category value if an attribute value corresponding to the category value exists in the data entry. | 2. The computer-implemented method of claim 1 , wherein obtaining an ordered set of category values includes for each data entry of the ranked data entries, selecting a category value if an attribute value corresponding to the category value exists in the data entry. 3. The computer-implemented method of claim 2 , wherein the selected category value becomes a part of the ordered set of category values. | 0.915681 |
12. A system for identifying connections among nodes of a network, the system comprising: an interface configured to receive sets of data from a plurality of sources in the network, wherein each set of data relates to at least one connectivity level within a hierarchy of connectivity levels; a first inference engine configured to determine, at a first level within the hierarchy of connectivity levels, a first connectivity graph based on a first set of data indicating connections between nodes in the network at the first level; a second inference engine configured to determine, at a second level higher than the first level within the hierarchy of connectivity levels, a second connectivity graph based on a second set of data indicating connections between nodes in the network at the second level; and a physical path creator configured to identify at least one physical path between a pair of nodes of the network based on consolidating the first and second connectivity graphs. | 12. A system for identifying connections among nodes of a network, the system comprising: an interface configured to receive sets of data from a plurality of sources in the network, wherein each set of data relates to at least one connectivity level within a hierarchy of connectivity levels; a first inference engine configured to determine, at a first level within the hierarchy of connectivity levels, a first connectivity graph based on a first set of data indicating connections between nodes in the network at the first level; a second inference engine configured to determine, at a second level higher than the first level within the hierarchy of connectivity levels, a second connectivity graph based on a second set of data indicating connections between nodes in the network at the second level; and a physical path creator configured to identify at least one physical path between a pair of nodes of the network based on consolidating the first and second connectivity graphs. 13. The system of claim 12 , wherein the first and second inference engines are configured to determine at least one of the first and second connectivity graphs based on at least one inference rule. | 0.613343 |
30. A method for controlling a motion control system including a handheld device and a processing apparatus, the method comprising: receiving information from a three-axis acceleration sensor; receiving information from a camera; detecting movement of the handheld device via a motion detector operable to detect a tilt and translation motion based on the information received from the three-axis acceleration sensor and the camera, wherein the information received from the three axis acceleration sensor and the camera comprises a set of points traversed by the handheld motion device between a starting point base reference position and a stopping point; identifying and selecting a device to be controlled from among a plurality of devices based on a direction of movement of the motion detector, wherein the starting point base reference position is associated with an orientation of the handheld motion device relative to the device identified and selected to be controlled; and communicating information obtained by the motion detector to a processing apparatus of the selected device configured to obtain the information from the wireless communication interface to process the information. | 30. A method for controlling a motion control system including a handheld device and a processing apparatus, the method comprising: receiving information from a three-axis acceleration sensor; receiving information from a camera; detecting movement of the handheld device via a motion detector operable to detect a tilt and translation motion based on the information received from the three-axis acceleration sensor and the camera, wherein the information received from the three axis acceleration sensor and the camera comprises a set of points traversed by the handheld motion device between a starting point base reference position and a stopping point; identifying and selecting a device to be controlled from among a plurality of devices based on a direction of movement of the motion detector, wherein the starting point base reference position is associated with an orientation of the handheld motion device relative to the device identified and selected to be controlled; and communicating information obtained by the motion detector to a processing apparatus of the selected device configured to obtain the information from the wireless communication interface to process the information. 44. The method of claim 30 , further comprising notifying a user of output. | 0.627726 |
1. A system comprising: a computer including a processor, memory, and application server operating thereon, wherein the application server enables access between one or more client applications and a database; a JDBC subsystem associated with the application server, wherein the JDBC subsystem includes a connection pool which includes a plurality of connections for use by the client applications in communicating requests to the database, a prepared statement cache which includes a plurality of previously parsed requests that can be reused by the client applications and communicated to the database, a profiling component which maintains profile information concerning the connection pool and the prepared statement cache, wherein the profile information includes a connection usage profile indicating which particular client applications are currently using a connection or a prepared statement with the database, and a statistics monitoring component which maintains cumulative or averaged information concerning usage of the connection pool and the prepared statement cache over all of the client applications; and wherein the system enables a diagnostic image to be created which includes the profile information and the cumulative or averaged information for applications that are being monitored by the JDBC subsystem. | 1. A system comprising: a computer including a processor, memory, and application server operating thereon, wherein the application server enables access between one or more client applications and a database; a JDBC subsystem associated with the application server, wherein the JDBC subsystem includes a connection pool which includes a plurality of connections for use by the client applications in communicating requests to the database, a prepared statement cache which includes a plurality of previously parsed requests that can be reused by the client applications and communicated to the database, a profiling component which maintains profile information concerning the connection pool and the prepared statement cache, wherein the profile information includes a connection usage profile indicating which particular client applications are currently using a connection or a prepared statement with the database, and a statistics monitoring component which maintains cumulative or averaged information concerning usage of the connection pool and the prepared statement cache over all of the client applications; and wherein the system enables a diagnostic image to be created which includes the profile information and the cumulative or averaged information for applications that are being monitored by the JDBC subsystem. 2. The system of claim 1 , wherein the connection usage profile indicates when a pool connection was reserved by a client. | 0.752016 |
15. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a query submitted by a user through a search query interface of a web page associated with a third party; analyzing content of the web page through which the user submitted the query; determining a topic associated with the third party based on analyzing the content of the web page through which the user submitted the query; storing, in a profile for the web page, data indicating the topic; receiving data identifying (i) documents that are responsive to the query and (ii) an information retrieval score for each of the documents; determining that one or more of the documents are associated with the topic indicated by the profile for the web page; and adjusting a respective information retrieval score for the one or more of the documents that are determined to be associated with the topic. | 15. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a query submitted by a user through a search query interface of a web page associated with a third party; analyzing content of the web page through which the user submitted the query; determining a topic associated with the third party based on analyzing the content of the web page through which the user submitted the query; storing, in a profile for the web page, data indicating the topic; receiving data identifying (i) documents that are responsive to the query and (ii) an information retrieval score for each of the documents; determining that one or more of the documents are associated with the topic indicated by the profile for the web page; and adjusting a respective information retrieval score for the one or more of the documents that are determined to be associated with the topic. 17. The system of claim 15 , wherein determining that the one or more of the documents are associated with the topic comprises determining that a domain name for the one or more of the documents is included in a predetermined set of domain names associated with the topic. | 0.548106 |
14. A computer program product comprising a non-transitory computer-readable storage medium containing computer program code for: for each of a plurality of members of a social networking system, maintaining a respective set of connections to other members of the social networking system; receiving translations of text phrases from members of the social network, the text phrases comprising content displayed in a social networking system; providing content to a particular member, the content including a text phrase in a first language; responsive to receiving a request from the particular member to translate the text phrase from the first language to a second language: selecting, by a computer system, a translation of the text phrase from a set of translations of the text phrase in the second language, wherein the selecting is based on one or more actions by one or more other members identified in the set of connections for the particular member maintained by the social networking system, wherein the actions are associated with translations from the set of translations; and presenting the selected translation of the text phrase to the member requesting the translation. | 14. A computer program product comprising a non-transitory computer-readable storage medium containing computer program code for: for each of a plurality of members of a social networking system, maintaining a respective set of connections to other members of the social networking system; receiving translations of text phrases from members of the social network, the text phrases comprising content displayed in a social networking system; providing content to a particular member, the content including a text phrase in a first language; responsive to receiving a request from the particular member to translate the text phrase from the first language to a second language: selecting, by a computer system, a translation of the text phrase from a set of translations of the text phrase in the second language, wherein the selecting is based on one or more actions by one or more other members identified in the set of connections for the particular member maintained by the social networking system, wherein the actions are associated with translations from the set of translations; and presenting the selected translation of the text phrase to the member requesting the translation. 25. The computer program product of claim 14 , wherein presenting the selected translation to the particular member requesting the translation further comprises: displaying a confidence level associated with the selected translation, the confidence level based on actions by the one or more other members connected to the member in the social network, the actions associated with translations from the set of translations. | 0.5259 |
12. A system for facilitating online advertising, comprising: one or more processors; an extraction component, executed by at least one of the one or more processors, that extracts a dynamic user profile from a user behavior data stream; a semantic build component, executed by at least one of the one or more processors, that correlates information from the dynamic user profile to build a semantic user profile; an indexing component, executed by at least one of the one or more processors, that indexes the semantic user profile; a modeling component, executed by at least one of the one or more processors, that generates a user ranking model based at least on machine learning; and a query processing component, executed by at least one of the one or more processors, that retrieves a set of indexed semantic user profiles in response to a received semantic query, wherein the query processing component ranks the set of indexed semantic user profiles based on the user ranking model. | 12. A system for facilitating online advertising, comprising: one or more processors; an extraction component, executed by at least one of the one or more processors, that extracts a dynamic user profile from a user behavior data stream; a semantic build component, executed by at least one of the one or more processors, that correlates information from the dynamic user profile to build a semantic user profile; an indexing component, executed by at least one of the one or more processors, that indexes the semantic user profile; a modeling component, executed by at least one of the one or more processors, that generates a user ranking model based at least on machine learning; and a query processing component, executed by at least one of the one or more processors, that retrieves a set of indexed semantic user profiles in response to a received semantic query, wherein the query processing component ranks the set of indexed semantic user profiles based on the user ranking model. 16. The system of claim 12 , wherein the semantic build component further incorporates social network information to build the semantic user profile. | 0.510795 |
12. The system of claim 1 wherein: a) the input means further comprises item-identifier input means for inputting at least one of first and second sets of item-identifiers corresponding to items comprehended by the text; b) the one-to-many association organizing means further comprises item-identifier association means for establishing a one-to-many association between each item-identifier and the corresponding records which comprehend a reference to the respective item; and (c) the output means further comprises record retrieval means for retrieving one or more records according to one or more of the item identifiers corresponding to items comprehended by the text, and associated with at least one of the records. | 12. The system of claim 1 wherein: a) the input means further comprises item-identifier input means for inputting at least one of first and second sets of item-identifiers corresponding to items comprehended by the text; b) the one-to-many association organizing means further comprises item-identifier association means for establishing a one-to-many association between each item-identifier and the corresponding records which comprehend a reference to the respective item; and (c) the output means further comprises record retrieval means for retrieving one or more records according to one or more of the item identifiers corresponding to items comprehended by the text, and associated with at least one of the records. 15. The system of claim 12 wherein the organizing means further comprises item reference organizing means for organizing item-identifiers into at least one of first and second sets classified according to a user-defined type of item. | 0.859091 |
27. A display system according to claim 25 , wherein the second system enables the size of the user interface window to be changed through a user input device drag operation. | 27. A display system according to claim 25 , wherein the second system enables the size of the user interface window to be changed through a user input device drag operation. 28. A display system according to claim 27 , wherein the user input device drag operation includes detecting a user's finger at the touch-sensitive surface of the display device. | 0.944753 |
6. The method of claim 1 , wherein the step of computing further comprises recomposing a vector representation in the original term space, the vector representation being based at least in part on a projection of an original vector representation in a predetermined vector subspace. | 6. The method of claim 1 , wherein the step of computing further comprises recomposing a vector representation in the original term space, the vector representation being based at least in part on a projection of an original vector representation in a predetermined vector subspace. 8. The method of claim 6 , wherein the original vector representation is based at least in part on a query. | 0.952985 |
1. A method comprising: matching a token from at least a portion of a text string with a matching concept in an ontology; identifying a first concept as being hierarchically related to the matching concept within the ontology; identifying a second concept as being hierarchically related to the first concept within the ontology; including the first and second concepts in a set of features of the token; and determining, using at least one processor, a measure related to a likelihood that the at least a portion of the text string corresponds to a particular entity type, based at least in part on the set of features of the token. | 1. A method comprising: matching a token from at least a portion of a text string with a matching concept in an ontology; identifying a first concept as being hierarchically related to the matching concept within the ontology; identifying a second concept as being hierarchically related to the first concept within the ontology; including the first and second concepts in a set of features of the token; and determining, using at least one processor, a measure related to a likelihood that the at least a portion of the text string corresponds to a particular entity type, based at least in part on the set of features of the token. 3. The method of claim 1 , wherein the first concept is an ancestor of the matching concept within the ontology. | 0.656216 |
1. A method for selecting at least one product record for embedding into a document and display with the document in a user interface, the method comprising: analyzing, with a computing device, at least a portion of the document, the analysis including at least a frequency of words in the document; constructing, with a computing device, a keyword query search string based on the analysis of the document, the keyword query search string at least partially based on words of the document having the highest frequencies; applying, with a computing device, the keyword query search string to a products database, the products database including a plurality of product records which include information regarding products, to identify at least one product record in the products database that satisfies the keyword query search string; selecting, with a computing device, at least one of the identified product records for embedding into the document and display in the user interface, and embedding, with a computing device, at least one of the selected product records into the document for display in the user interface, wherein the document is not stored within the products database. | 1. A method for selecting at least one product record for embedding into a document and display with the document in a user interface, the method comprising: analyzing, with a computing device, at least a portion of the document, the analysis including at least a frequency of words in the document; constructing, with a computing device, a keyword query search string based on the analysis of the document, the keyword query search string at least partially based on words of the document having the highest frequencies; applying, with a computing device, the keyword query search string to a products database, the products database including a plurality of product records which include information regarding products, to identify at least one product record in the products database that satisfies the keyword query search string; selecting, with a computing device, at least one of the identified product records for embedding into the document and display in the user interface, and embedding, with a computing device, at least one of the selected product records into the document for display in the user interface, wherein the document is not stored within the products database. 3. The method of claim 1 , wherein said analyzing step includes determining use of the words in the document. | 0.529898 |
2. A method programmed for execution in a computing device for consulting and creating a prose text report from a radiological domain ontology in reference to a subject, the method comprising: defining one or more aspects of radiology report information as concept properties represented by a vocabulary of one or more instances of said radiological domain ontology, said radiological domain ontology declaring and fulfilling a model of radiological domain knowledge; acquiring an orally provided non-radiological information item of interest that relates to said subject, said non-radiological information item of interest being provided to a memory of the computing device; employing a context that defines a set of said radiological domain knowledge and the relationships among said set of radiological domain knowledge to describe said subject; validating that said information item of interest is reportable radiological information and resides in said set of radiological domain knowledge; identifying a definitive concept of said information item of interest from within said set of radiological domain knowledge; classifying said informational item of interest; and employing a context that defines a set of linguistic knowledge and the relationship among said set of linguistic knowledge to express said concept properties; wherein said concept properties are expressed in the context of a linguistic ontology as prose text in the created prose text report. | 2. A method programmed for execution in a computing device for consulting and creating a prose text report from a radiological domain ontology in reference to a subject, the method comprising: defining one or more aspects of radiology report information as concept properties represented by a vocabulary of one or more instances of said radiological domain ontology, said radiological domain ontology declaring and fulfilling a model of radiological domain knowledge; acquiring an orally provided non-radiological information item of interest that relates to said subject, said non-radiological information item of interest being provided to a memory of the computing device; employing a context that defines a set of said radiological domain knowledge and the relationships among said set of radiological domain knowledge to describe said subject; validating that said information item of interest is reportable radiological information and resides in said set of radiological domain knowledge; identifying a definitive concept of said information item of interest from within said set of radiological domain knowledge; classifying said informational item of interest; and employing a context that defines a set of linguistic knowledge and the relationship among said set of linguistic knowledge to express said concept properties; wherein said concept properties are expressed in the context of a linguistic ontology as prose text in the created prose text report. 3. The method of claim 2 wherein said set of linguistic knowledge comprises: references to said radiological domain ontology; connectors for modeling adjacent linguistic relations that connect concepts within said radiological domain ontology; and sequences for modeling relations among concepts within said radiological domain ontology. | 0.5 |
17. A multimedia content sharing system, comprising A. a shared content server storing a plurality of items of content, where the stored items of content are any of still images, moving images and audio, B. a plurality of nodes, each in communication coupling with the shared content server via one or more networks, C. the shared content server transmitting, via the one or more networks, one or more of the plurality of items of content stored on the server to each node in a first set of said nodes without a request by any user of that node for such item, wherein each node in the first set of said nodes stores the one or more of the plurality of items in a local store associated therewith D. at least one said node (“first peer node”) in the first set of nodes, (i) presenting any of visually and/or aurally the content of at least one item of content received from the shared content server, (ii) accepting user feedback with respect to that item of content, the user feedback reflecting user input regarding the item of content, and (iii) transmitting that user feedback to the shared content server, E. the shared content server transmitting the user feedback to at least one other node (“second peer node”) that is in the first set of nodes without retransmission of the article of content with respect to which the user feedback was accepted, which second peer node alters a presentation on that node of that item of content as stored on the local store associated therewith based on that user feedback. | 17. A multimedia content sharing system, comprising A. a shared content server storing a plurality of items of content, where the stored items of content are any of still images, moving images and audio, B. a plurality of nodes, each in communication coupling with the shared content server via one or more networks, C. the shared content server transmitting, via the one or more networks, one or more of the plurality of items of content stored on the server to each node in a first set of said nodes without a request by any user of that node for such item, wherein each node in the first set of said nodes stores the one or more of the plurality of items in a local store associated therewith D. at least one said node (“first peer node”) in the first set of nodes, (i) presenting any of visually and/or aurally the content of at least one item of content received from the shared content server, (ii) accepting user feedback with respect to that item of content, the user feedback reflecting user input regarding the item of content, and (iii) transmitting that user feedback to the shared content server, E. the shared content server transmitting the user feedback to at least one other node (“second peer node”) that is in the first set of nodes without retransmission of the article of content with respect to which the user feedback was accepted, which second peer node alters a presentation on that node of that item of content as stored on the local store associated therewith based on that user feedback. 30. The system of claim 17 , wherein said shared content server comprises a set of one or more servers that are coupled for communication with one another over one or more networks and comprise a central store with records and/or other structures for storing the items of content and related information. | 0.66771 |
11. A method of operation of a computing system comprising: determining a sharing for representing a scenario surrounding sharing of a content; determine a user's past sharing selection for the sharing context, wherein the user's past sharing selection is for representing prior sharing of previous information similar to the content or associated with same instance of the sharing context; calculate a personalization degree for representing a match between a current personalization setting and the sharing context; generating with a control unit a sharing option for the sharing context based on a default set for the sharing context, the user's past sharing selection for the sharing context, and the personalization degree for the sharing context; and estimating a user's privacy preference based on the sharing option. | 11. A method of operation of a computing system comprising: determining a sharing for representing a scenario surrounding sharing of a content; determine a user's past sharing selection for the sharing context, wherein the user's past sharing selection is for representing prior sharing of previous information similar to the content or associated with same instance of the sharing context; calculate a personalization degree for representing a match between a current personalization setting and the sharing context; generating with a control unit a sharing option for the sharing context based on a default set for the sharing context, the user's past sharing selection for the sharing context, and the personalization degree for the sharing context; and estimating a user's privacy preference based on the sharing option. 18. The method as claimed in claim 11 wherein: determining the sharing context includes determining the sharing context based on a current environment; and generating the sharing option for the sharing context includes generating the sharing option based on a sharing target's proximity to a user's location. | 0.761941 |
9. The method of claim 8 wherein the selected one of the plurality of rules includes information representative of a voice fragment, variable and construction information, and wherein the constructing step includes: processing the construction information to select a first portion of the selected plurality of voice fragments; processing the variable information to select a second portion of the selected plurality of voice fragments; selecting a third portion of the selected plurality of voice fragments based upon the voice fragment information in the one of the plurality of rules; and combining the first, second, and third portions to provide the selected plurality of voice fragments. | 9. The method of claim 8 wherein the selected one of the plurality of rules includes information representative of a voice fragment, variable and construction information, and wherein the constructing step includes: processing the construction information to select a first portion of the selected plurality of voice fragments; processing the variable information to select a second portion of the selected plurality of voice fragments; selecting a third portion of the selected plurality of voice fragments based upon the voice fragment information in the one of the plurality of rules; and combining the first, second, and third portions to provide the selected plurality of voice fragments. 10. The method of claim 9 wherein the variable information includes a second announcement identifier associated with a second announcement. | 0.736322 |
2. The method of claim 1 , further comprising, when the first computer system determines to process the first electronic document: identifying, in the one or more portions of the first electronic document, an interactive feature of the first electronic document that is configured to provide dynamic content in response to user input; storing, by the first computer system, code from the first electronic document that, when executed, is configured to provide the interactive feature; and generating a selectable link to the code stored by first computer system, wherein selection of the selectable link by a user of a device that accesses the first computer system causes the code to be interpreted or executed by the first computer system and the dynamic content to be provided in response; wherein the selectable link is included in the one or more portions of replacement content. | 2. The method of claim 1 , further comprising, when the first computer system determines to process the first electronic document: identifying, in the one or more portions of the first electronic document, an interactive feature of the first electronic document that is configured to provide dynamic content in response to user input; storing, by the first computer system, code from the first electronic document that, when executed, is configured to provide the interactive feature; and generating a selectable link to the code stored by first computer system, wherein selection of the selectable link by a user of a device that accesses the first computer system causes the code to be interpreted or executed by the first computer system and the dynamic content to be provided in response; wherein the selectable link is included in the one or more portions of replacement content. 3. The method of claim 2 , further comprising: receiving, at the first computer system and from the client computing device, information that indicates that a user of the client computing device has selected the selectable link; executing or interpreting, by the first computer system in response to receiving the information, the code that is stored by the first computer system, wherein the execution or interpretation of the code causes the dynamic content to be generated; and providing, by the first computer system and to the client computing device, at least a portion of the dynamic content. | 0.762605 |
2. An electronic document analysis method using a processor for analyzing N electronic documents, the method comprising: performing at least a portion of a first computerized text-classifier based document categorization process on the N electronic documents, using a first computerized text-classifier, thereby to generate at least one output; and using said at least one output to perform at least a second computerized text-classifier based document categorization process on at least M additional electronic documents, wherein said using comprises applying the first computerized text-classifier based document categorization process to at least the M additional electronic documents, only if the processor has determined that the first computerized text-classifier, when applied to at least the M additional electronic documents, satisfies a predetermined categorization quality criterion, and otherwise, applying a document categorization process which is not based on the first computerized text-classifier based document categorization process, to at least the M additional electronic documents, wherein a single set, X, of control documents is used: both to make a first determination of whether or not the first computerized text-classifier, when applied to at least the M additional electronic documents, satisfies a predetermined categorization quality criterion, and also to make a second determination of whether or not said document categorization process which is applied to said M additional electronic documents and which is not based on the first computerized text-classifier based document, satisfies a predetermined categorization quality criterion, thereby to utilize a single categorization process applied to said single set X rather than conducting separate, first and second, categorization processes on separate, first and second, control sets to be used when making said first and second determinations respectively. | 2. An electronic document analysis method using a processor for analyzing N electronic documents, the method comprising: performing at least a portion of a first computerized text-classifier based document categorization process on the N electronic documents, using a first computerized text-classifier, thereby to generate at least one output; and using said at least one output to perform at least a second computerized text-classifier based document categorization process on at least M additional electronic documents, wherein said using comprises applying the first computerized text-classifier based document categorization process to at least the M additional electronic documents, only if the processor has determined that the first computerized text-classifier, when applied to at least the M additional electronic documents, satisfies a predetermined categorization quality criterion, and otherwise, applying a document categorization process which is not based on the first computerized text-classifier based document categorization process, to at least the M additional electronic documents, wherein a single set, X, of control documents is used: both to make a first determination of whether or not the first computerized text-classifier, when applied to at least the M additional electronic documents, satisfies a predetermined categorization quality criterion, and also to make a second determination of whether or not said document categorization process which is applied to said M additional electronic documents and which is not based on the first computerized text-classifier based document, satisfies a predetermined categorization quality criterion, thereby to utilize a single categorization process applied to said single set X rather than conducting separate, first and second, categorization processes on separate, first and second, control sets to be used when making said first and second determinations respectively. 17. A method according to claim 2 , wherein said processor determines whether the first computerized text-classifier, when applied to at least the M additional electronic documents, satisfies a predetermined categorization quality criterion, based on control documents representing and being a subset of the M documents. | 0.572817 |
14. A method of detecting pre-determined phrases to determine compliance quality, comprising: storing a plurality of pre-determined phrases in association with an event; receiving an audible input, from communication devices of a caller and an agent, in a communication over a communications network; determining, by a processor of a computer facilitating the communication, an occurrence of the event based on the communication; determining, by the processor, whether a pre-determined phrase of the plurality of pre-determined phrases associated with the event is present in the audible input received; and determining, by the processor, a compliance rating of the agent, based on a presence of the pre-determined phrase associated with the event and the determination of the occurrence of the event, for evaluating the agent. | 14. A method of detecting pre-determined phrases to determine compliance quality, comprising: storing a plurality of pre-determined phrases in association with an event; receiving an audible input, from communication devices of a caller and an agent, in a communication over a communications network; determining, by a processor of a computer facilitating the communication, an occurrence of the event based on the communication; determining, by the processor, whether a pre-determined phrase of the plurality of pre-determined phrases associated with the event is present in the audible input received; and determining, by the processor, a compliance rating of the agent, based on a presence of the pre-determined phrase associated with the event and the determination of the occurrence of the event, for evaluating the agent. 18. The method of claim 14 , wherein the event is a call from a particular product. | 0.665865 |
5. The system of claim 1 , wherein the action is a domain level action. | 5. The system of claim 1 , wherein the action is a domain level action. 6. The system of claim 5 , wherein the domain-level action includes at least one of engage, disengage, enable and disable. | 0.932119 |
17. A computer system comprising a computer processor in communication with computer-readable storage device, the computer-readable storage device storing instructions that, when executed, perform a method, the method comprising: receiving a query via computer-enabled query application; determining a first score for each of one or more people, wherein the first score is based on a frequency with which a querying user has selected each of the one or more people from previous query suggestions produced by the query application; determining a second score for each of the one or more people based on interactions between the querying user and the one or more people in one or more additional applications; combining the first score and the second score to form a combined score, wherein the second score contributes less than the first score to the combined score; ranking each of the one or more people based on the combined score; and providing, based on the ranking, a people query suggestion, wherein providing the people query suggestion includes providing the people query suggestion for a top ranked of the one or more people. | 17. A computer system comprising a computer processor in communication with computer-readable storage device, the computer-readable storage device storing instructions that, when executed, perform a method, the method comprising: receiving a query via computer-enabled query application; determining a first score for each of one or more people, wherein the first score is based on a frequency with which a querying user has selected each of the one or more people from previous query suggestions produced by the query application; determining a second score for each of the one or more people based on interactions between the querying user and the one or more people in one or more additional applications; combining the first score and the second score to form a combined score, wherein the second score contributes less than the first score to the combined score; ranking each of the one or more people based on the combined score; and providing, based on the ranking, a people query suggestion, wherein providing the people query suggestion includes providing the people query suggestion for a top ranked of the one or more people. 18. The computer system of claim 17 , wherein the method further comprises prior to combining the first and the second scores, normalizing the second score to a decimal value such that the second score contributes less to the combined score. | 0.538613 |
1. An educational apparatus for teaching phonics, spelling and reading, the apparatus comprising a plurality of structural units, each including a first face and at least one additional face, a 3-letter word indicia imprinted upon each of said first faces, one word to a face, wherein each of said 3-letter word indicia indicates a different word, a 3-letter word indicia printed on the at least one additional face of each of the plurality of structural units, wherein each 3-letter word indicia on each of the said first faces constitutes a first word member of an instructional word-pair of which instructional word-pair a second word member is located on a face of another of the plurality of structural objects, wherein each instructional word-pair comprises two 3-letter words differing by substitution of a single letter. | 1. An educational apparatus for teaching phonics, spelling and reading, the apparatus comprising a plurality of structural units, each including a first face and at least one additional face, a 3-letter word indicia imprinted upon each of said first faces, one word to a face, wherein each of said 3-letter word indicia indicates a different word, a 3-letter word indicia printed on the at least one additional face of each of the plurality of structural units, wherein each 3-letter word indicia on each of the said first faces constitutes a first word member of an instructional word-pair of which instructional word-pair a second word member is located on a face of another of the plurality of structural objects, wherein each instructional word-pair comprises two 3-letter words differing by substitution of a single letter. 12. The educational apparatus of claim 1 , wherein the three-letter words comprise at least 20 word-pairs. | 0.685768 |
1. An electronic design automation method, comprising: creating a functional coverage model; running random simulations from at least one seed; merging, through a computer system, coverage logs of the functional coverage model generated by verification of a hardware description language circuit design, as the coverage logs are generated, without waiting for all coverage logs of pending verification; and responsive to said merging, the computer system analyzing the merged coverage logs, refining the functional coverage model, and deleting at least part of previous coverage logs. | 1. An electronic design automation method, comprising: creating a functional coverage model; running random simulations from at least one seed; merging, through a computer system, coverage logs of the functional coverage model generated by verification of a hardware description language circuit design, as the coverage logs are generated, without waiting for all coverage logs of pending verification; and responsive to said merging, the computer system analyzing the merged coverage logs, refining the functional coverage model, and deleting at least part of previous coverage logs. 7. The electronic design automation method of claim 1 , further comprising: responsive to said merging, determining that completing a pending verification is expected to insufficiently improve verification coverage of the hardware description language circuit design, by determining that an attribute of the hardware description language circuit design to be simulated by a pending simulation has been simulated already. | 0.5 |
1. A reading system for a plurality of technical documents, said reading system at least comprising a graphical screen divided into a plurality of document units arranged in a m×n manner, wherein both m and n are integers greater than 1, m is the total number of columns, and n is the total number of rows, respectively, each of said document units being a screen area for displaying a document information of a document, and said document information including at least one important information and at least one related information of the technical document, wherein the at least one related information includes at least one related drawing. | 1. A reading system for a plurality of technical documents, said reading system at least comprising a graphical screen divided into a plurality of document units arranged in a m×n manner, wherein both m and n are integers greater than 1, m is the total number of columns, and n is the total number of rows, respectively, each of said document units being a screen area for displaying a document information of a document, and said document information including at least one important information and at least one related information of the technical document, wherein the at least one related information includes at least one related drawing. 11. The reading system of claim 1 , further comprising a classification module for classifying the technical documents into technical classes or product classes. | 0.563789 |
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. | 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. | 0.557672 |
12. One or more non-transitory computer readable storage mediums storing one or more sequences of instructions, which when executed by one or more processors, causes automatic refinement of a template warehouse star schema, by performing the steps of: automatically comparing a customized source database with a baseline template warehouse to gather a custom information selected from i) a data type or a length of custom columns, ii) frequently used expressions on custom columns, iii) custom entities or information on constituent columns of the custom entities, iv) custom entity keys, v) relationships of custom entities with other entities, vi) relationships within custom entities, vii) a contribution of custom entities to specialized entities, viii) an update frequency of custom entities and columns, ix) a grouping of custom entity and column updates, and x) a contribution of custom entities and columns to workflows and correlated attributes, wherein the custom information is gathered based on a combination of a usage analysis technique by automatically analyzing queries on the custom source database, a data profiling technique by automatically analyzing data in the custom source database and an operational reporting environment analysis technique by automatically analyzing an underlying model and queries in operational reports; automatically determining facts by determining frequently updated numeric non key custom columns and the custom entities; automatically determining dimensions by determining non-numeric custom columns and the custom entities that are infrequently updated and that are linked to the facts by foreign keys; automatically determining dimension hierarchies based on hierarchical relationships within custom entities determined to be dimensions; and automatically suggesting at least one of (i) subsumption of a custom entity into an entity of the template warehouse star schema based on a type of mapped target of related entities, a column type of the custom entity or an update frequency of the custom entity if the custom entity is related to the entity of the template warehouse star schema, (ii) creation of new facts or dimensions for the custom entity based on a column type of the custom entity or an update frequency of the custom entity if the custom entity is a standalone entity, or (iii) creation of specialized entities or augmentation of specialized entities in the template warehouse star schema if the custom entity is related to a currency or a unit of measure. | 12. One or more non-transitory computer readable storage mediums storing one or more sequences of instructions, which when executed by one or more processors, causes automatic refinement of a template warehouse star schema, by performing the steps of: automatically comparing a customized source database with a baseline template warehouse to gather a custom information selected from i) a data type or a length of custom columns, ii) frequently used expressions on custom columns, iii) custom entities or information on constituent columns of the custom entities, iv) custom entity keys, v) relationships of custom entities with other entities, vi) relationships within custom entities, vii) a contribution of custom entities to specialized entities, viii) an update frequency of custom entities and columns, ix) a grouping of custom entity and column updates, and x) a contribution of custom entities and columns to workflows and correlated attributes, wherein the custom information is gathered based on a combination of a usage analysis technique by automatically analyzing queries on the custom source database, a data profiling technique by automatically analyzing data in the custom source database and an operational reporting environment analysis technique by automatically analyzing an underlying model and queries in operational reports; automatically determining facts by determining frequently updated numeric non key custom columns and the custom entities; automatically determining dimensions by determining non-numeric custom columns and the custom entities that are infrequently updated and that are linked to the facts by foreign keys; automatically determining dimension hierarchies based on hierarchical relationships within custom entities determined to be dimensions; and automatically suggesting at least one of (i) subsumption of a custom entity into an entity of the template warehouse star schema based on a type of mapped target of related entities, a column type of the custom entity or an update frequency of the custom entity if the custom entity is related to the entity of the template warehouse star schema, (ii) creation of new facts or dimensions for the custom entity based on a column type of the custom entity or an update frequency of the custom entity if the custom entity is a standalone entity, or (iii) creation of specialized entities or augmentation of specialized entities in the template warehouse star schema if the custom entity is related to a currency or a unit of measure. 17. The one or more non-transitory computer readable storage mediums storing one or more sequences of instructions of claim 12 , wherein data in the custom source database is analyzed automatically to determine any of (i) custom entities and custom columns, (ii) if the custom columns are entity keys (iii) if the custom columns contribute to relationships between and within entities, (iv) if the custom columns contribute to workflows, or (v) if the custom columns or custom entities contribute to specialized entities. | 0.647772 |
13. A non-transitory computer-usable medium as in claim 12 , wherein the operations further comprise: at the cloud telephone service, receiving the audio voice command from the human operator via a telephone connection; converting the audio voice command to the system command; and transmitting the system command to the human-machine interface telephone gateway. | 13. A non-transitory computer-usable medium as in claim 12 , wherein the operations further comprise: at the cloud telephone service, receiving the audio voice command from the human operator via a telephone connection; converting the audio voice command to the system command; and transmitting the system command to the human-machine interface telephone gateway. 15. A non-transitory computer-usable medium as in claim 13 , wherein converting the audio voice command to the system command comprises selecting a predetermined command from a plurality of commands based on an audio-to-text conversion of the audio voice command. | 0.871067 |
1. A three-dimensional tetrahedral stereo-table arranged for 64 DNA and/or RNA codons, which comprises a three-dimensional tetrahedron having 4 faces, each face divided by indicia into 16 codon phases, pointing out all codon triplets and corresponding 21 teams representing 20 L-amino acids and one triphasic termination team. | 1. A three-dimensional tetrahedral stereo-table arranged for 64 DNA and/or RNA codons, which comprises a three-dimensional tetrahedron having 4 faces, each face divided by indicia into 16 codon phases, pointing out all codon triplets and corresponding 21 teams representing 20 L-amino acids and one triphasic termination team. 7. The table as claimed in claim 1, wherein said triplets are represented by colored ideograms. | 0.63522 |
46. A non-transitory computer readable storage medium comprising instructions that, when executed on a system, cause the system to at least: cause generation of a graphical user interface operative to display an interactive mathematical puzzle having only one solution, the interactive puzzle including first areas of the puzzle having a plurality of clue regions and second areas of the puzzle having a plurality of mystery number regions, wherein the first areas of the puzzle and the second areas of the puzzle are in separate locations, wherein the plurality of clue regions include a pair clue region interposed between a pair of mystery number regions, wherein each of the mystery number regions corresponds to a mystery number value with no limitation on an amount of times a single mystery number value between 1-R appears in the puzzle when the puzzle is solved except that a same pair of mystery number values corresponding to the pair of mystery number regions interposing any pair clue region can only appear once in the puzzle, wherein R is a whole number within a range of whole number values, wherein the puzzle can only have one solution when each mystery number value associated with each mystery number region among the plurality of mystery numbers regions are solved, wherein the pair clue region corresponds to a pair plus clue representing an arithmetic sum of mystery number values of the mystery number regions interposing the pair clue region or a pair times clue representing an arithmetic product of mystery number values of the mystery number regions interposing the pair clue region, and wherein the puzzle layout is initially devoid of pair plus clues, pair times clues, and mystery number values; reveal at least one pair plus clue or one pair times clue within at least one pair clue region among the plurality of pair clue regions; enable a user to enter an integer value in place of each mystery number region through a number entry system; and indicate to the user whether the integer value entered by the user in each of the mystery number regions is correct. | 46. A non-transitory computer readable storage medium comprising instructions that, when executed on a system, cause the system to at least: cause generation of a graphical user interface operative to display an interactive mathematical puzzle having only one solution, the interactive puzzle including first areas of the puzzle having a plurality of clue regions and second areas of the puzzle having a plurality of mystery number regions, wherein the first areas of the puzzle and the second areas of the puzzle are in separate locations, wherein the plurality of clue regions include a pair clue region interposed between a pair of mystery number regions, wherein each of the mystery number regions corresponds to a mystery number value with no limitation on an amount of times a single mystery number value between 1-R appears in the puzzle when the puzzle is solved except that a same pair of mystery number values corresponding to the pair of mystery number regions interposing any pair clue region can only appear once in the puzzle, wherein R is a whole number within a range of whole number values, wherein the puzzle can only have one solution when each mystery number value associated with each mystery number region among the plurality of mystery numbers regions are solved, wherein the pair clue region corresponds to a pair plus clue representing an arithmetic sum of mystery number values of the mystery number regions interposing the pair clue region or a pair times clue representing an arithmetic product of mystery number values of the mystery number regions interposing the pair clue region, and wherein the puzzle layout is initially devoid of pair plus clues, pair times clues, and mystery number values; reveal at least one pair plus clue or one pair times clue within at least one pair clue region among the plurality of pair clue regions; enable a user to enter an integer value in place of each mystery number region through a number entry system; and indicate to the user whether the integer value entered by the user in each of the mystery number regions is correct. 47. The non-transitory computer readable storage medium as recited in claim 46 , wherein the graphical user interface is operative to operate in a first mode where the indication of whether an integer value entered by the user is correct is immediate, and a second mode where the indication of whether the integer values entered by the user is correct is not provided until all of the mystery number regions have had integer values entered as a complete solution to the puzzle and the user has submitted the complete solution through the graphical user interface. | 0.723425 |
1. A system for bridging a first communications network having a payload subnetwork and a signaling subnetwork with a second communications network that is packet-switched, comprising: a. a communications management object that coordinates the transfer of information between the first communications network and the second communications network, wherein the communications management object coordinates the transfer of information between the first communications network and the second communications network by initiating at least one of the tasks of communications session setup, communications session tear down, bridging of two communications requests or routing of a communications to a communications access point in one of the first communications network or the second communications network. b. a payload object linked to the communications management object, wherein said payload object transfers payload information between the system and the payload subnetwork of the first communications network; c. a signaling object linked to the communications management object, wherein said signaling object transfers signaling information between the system and the signaling subnetwork of the first communications network in accordance with a signaling protocol associated with the signaling subnetwork; and d. a packet object linked to the communications management object, wherein said packet object transfers payload and address information between the system and the second communications network in accordance with a communications protocol associated with the second communications network. | 1. A system for bridging a first communications network having a payload subnetwork and a signaling subnetwork with a second communications network that is packet-switched, comprising: a. a communications management object that coordinates the transfer of information between the first communications network and the second communications network, wherein the communications management object coordinates the transfer of information between the first communications network and the second communications network by initiating at least one of the tasks of communications session setup, communications session tear down, bridging of two communications requests or routing of a communications to a communications access point in one of the first communications network or the second communications network. b. a payload object linked to the communications management object, wherein said payload object transfers payload information between the system and the payload subnetwork of the first communications network; c. a signaling object linked to the communications management object, wherein said signaling object transfers signaling information between the system and the signaling subnetwork of the first communications network in accordance with a signaling protocol associated with the signaling subnetwork; and d. a packet object linked to the communications management object, wherein said packet object transfers payload and address information between the system and the second communications network in accordance with a communications protocol associated with the second communications network. 15. The system according to claim 1, wherein the communications management object coordinates a transfer of information between the first communications network and the second communications network by causing the system to perform at least one of the tasks of: a. initiating a communications contact in response to a user clicking a hypertext link; b. sending a message to a user requesting a return communications contact; c. scheduling a time to initiate a communications contact between two users; d. initiating a sequence of communications contacts until the party to be contacted is reached; and e. directing a communications contact addressed to a user to a mailbox. | 0.50282 |
6. The method of claim 1 , further comprising: storing the extracted features in a database. | 6. The method of claim 1 , further comprising: storing the extracted features in a database. 7. The method of claim 6 , wherein training the classifier model comprises: storing information about whether the user considered the email as graymail in the database; and performing supervised learning in the classifier model using the stored extracted features and stored information about whether the user considered the email as graymail. | 0.92512 |
6. A computer-implemented method comprising: determining, by an anti-spam module, an approximate display location of one or more embedded images within an electronic mail (email) message; identifying, by the anti-spam module, existence of one or more abnormal factors associated with the one or more embedded images; quantifying, by the anti-spam module, a number of text strings that are included in the embedded image by analyzing one or more blocks of the binarized representation with a text string measurement algorithm; classifying, by the anti-spam module, the email message as spam or clean based on the approximate display location, the existence of one or more abnormal factors and the number of text strings; wherein the anti-spam module is implemented in one or more processors and one or more non-transitory computer-readable storage media of one or more computer systems, the one or more non-transitory computer-readable storage media having instructions tangibly embodied therein representing the anti-spam module that are executable by the one or more processors; and wherein the one or more blocks comprise M×N virtual blocks and wherein the text string measurement algorithm employs equations having a general form as follows: T = ∑ m = 0 M ∑ n = 0 N T m , n subject to : T m , n = ∑ y t = y 0 m y max m ∑ y b = y t + 1 y max m T y t , y b m , n y 0 m = y max ∂ 0 ( m - 1 ) , y max m = y 0 m + ∂ 0 T y t , y b m , n = { 1 ∂ 1 > ∑ i = y t y b CB i n > ∂ 2 ∑ k = x 0 n x max n B k , y b + 1 < ∂ 3 , x 0 n = x max ∂ 0 ( n - 1 ) , x max n = x 0 n + ∂ 0 0 Otherwise CB i n = { 1 ∂ 4 > ∑ k = x 0 n x max n B k , i > ∂ 5 Max ( ∑ k = x w x w + ∂ 6 B k , i ) < ∂ 7 , x 0 n ≤ x w ≤ x max n 0 Otherwise where, ∂ 0 . . . ∂ 7 are adjustable parameters; T is the number of text strings; T y t ,y b m,n is a likelihood that a row between y t and y b in virtual block [m,n] represents text; CB i n is a likelihood that a line[i] is a part of text; and B k,i is a value of pixel[k,i] in the binary representation. | 6. A computer-implemented method comprising: determining, by an anti-spam module, an approximate display location of one or more embedded images within an electronic mail (email) message; identifying, by the anti-spam module, existence of one or more abnormal factors associated with the one or more embedded images; quantifying, by the anti-spam module, a number of text strings that are included in the embedded image by analyzing one or more blocks of the binarized representation with a text string measurement algorithm; classifying, by the anti-spam module, the email message as spam or clean based on the approximate display location, the existence of one or more abnormal factors and the number of text strings; wherein the anti-spam module is implemented in one or more processors and one or more non-transitory computer-readable storage media of one or more computer systems, the one or more non-transitory computer-readable storage media having instructions tangibly embodied therein representing the anti-spam module that are executable by the one or more processors; and wherein the one or more blocks comprise M×N virtual blocks and wherein the text string measurement algorithm employs equations having a general form as follows: T = ∑ m = 0 M ∑ n = 0 N T m , n subject to : T m , n = ∑ y t = y 0 m y max m ∑ y b = y t + 1 y max m T y t , y b m , n y 0 m = y max ∂ 0 ( m - 1 ) , y max m = y 0 m + ∂ 0 T y t , y b m , n = { 1 ∂ 1 > ∑ i = y t y b CB i n > ∂ 2 ∑ k = x 0 n x max n B k , y b + 1 < ∂ 3 , x 0 n = x max ∂ 0 ( n - 1 ) , x max n = x 0 n + ∂ 0 0 Otherwise CB i n = { 1 ∂ 4 > ∑ k = x 0 n x max n B k , i > ∂ 5 Max ( ∑ k = x w x w + ∂ 6 B k , i ) < ∂ 7 , x 0 n ≤ x w ≤ x max n 0 Otherwise where, ∂ 0 . . . ∂ 7 are adjustable parameters; T is the number of text strings; T y t ,y b m,n is a likelihood that a row between y t and y b in virtual block [m,n] represents text; CB i n is a likelihood that a line[i] is a part of text; and B k,i is a value of pixel[k,i] in the binary representation. 14. The method of claim 6 , wherein image data associated with an embedded image of the one or more embedded images is sent with the email message. | 0.586651 |
1. A method comprising: training a statistical translation model on a plurality of translation pairs, each translation pair including a text segment in a source language and a corresponding text segment in a target language; extracting a plurality of tuples from each of a plurality of said translation pairs, each tuple comprising a pair of phrases and a corresponding word level alignment between said pair of phrases, the pair of phrases including a phrase in the source language comprising at least two words and a corresponding phrase in the target language comprising at least two words, the corresponding word level alignment based on the trained statistical translation model; and constructing automatically a statistical translation memory from said plurality of tuples, wherein the statistical translation memory encodes a plurality of said pair of phrases and the corresponding word level alignment between each said pair. | 1. A method comprising: training a statistical translation model on a plurality of translation pairs, each translation pair including a text segment in a source language and a corresponding text segment in a target language; extracting a plurality of tuples from each of a plurality of said translation pairs, each tuple comprising a pair of phrases and a corresponding word level alignment between said pair of phrases, the pair of phrases including a phrase in the source language comprising at least two words and a corresponding phrase in the target language comprising at least two words, the corresponding word level alignment based on the trained statistical translation model; and constructing automatically a statistical translation memory from said plurality of tuples, wherein the statistical translation memory encodes a plurality of said pair of phrases and the corresponding word level alignment between each said pair. 4. The method of claim 1 , further comprising: judging a correctness of the plurality of tuples; and selecting a tuple as a translation equivalent in response to said judgment. | 0.575228 |
13. A non-transitory computer readable medium having stored thereon computer executable instructions to be executed by a processor comprising: disambiguating, by a processor executing a disambiguation computer module, a document feature from an electronic document by way of: extracting, by the processor executing a feature extraction computer module, the document feature from the electronic document, and linking, by the processor executing a linking computer module, on-the-fly, as data is requested by a user computer, the extracted document feature to a set of document features having a primary document feature and a secondary document feature stored in a knowledge database of document features of a plurality of electronic documents, the secondary document feature including a proximity cluster of co-occurring features in the plurality of electronic documents; adding, by the processor executing an in-memory database computer module, the disambiguated document feature to the knowledge database of co-occurring document features when the disambiguated document feature matches a document feature of interest in an alert database based at least in part on the linked set of document features including the proximity cluster, wherein the in-memory database computer module is executed on a computer that comprises a main memory storing an in-memory database, wherein the in-memory database comprises the knowledge database; and generating, by the processor, an electronic user alert regarding the matching. | 13. A non-transitory computer readable medium having stored thereon computer executable instructions to be executed by a processor comprising: disambiguating, by a processor executing a disambiguation computer module, a document feature from an electronic document by way of: extracting, by the processor executing a feature extraction computer module, the document feature from the electronic document, and linking, by the processor executing a linking computer module, on-the-fly, as data is requested by a user computer, the extracted document feature to a set of document features having a primary document feature and a secondary document feature stored in a knowledge database of document features of a plurality of electronic documents, the secondary document feature including a proximity cluster of co-occurring features in the plurality of electronic documents; adding, by the processor executing an in-memory database computer module, the disambiguated document feature to the knowledge database of co-occurring document features when the disambiguated document feature matches a document feature of interest in an alert database based at least in part on the linked set of document features including the proximity cluster, wherein the in-memory database computer module is executed on a computer that comprises a main memory storing an in-memory database, wherein the in-memory database comprises the knowledge database; and generating, by the processor, an electronic user alert regarding the matching. 14. The computer readable medium of claim 13 wherein the instructions further comprise assigning to the disambiguated document feature, by the processor executing a scoring computer module, a confidence score indicative of a level of confidence associated with a degree of disambiguation of the document feature, wherein the disambiguated document feature further matches the document feature of interest in the alert database based at least in part on the confidence score. | 0.5 |
1. A computer implemented access control system, the system comprising: a database for storing a serialized version of an eXtensible Access Control Markup Language (XACML) permissions hierarchy; a memory for storing an original version of the XACML permissions hierarchy; and an XACML serialization engine configured to convert the XACML permissions hierarchy into the serialized version, wherein the serialized version contains a listing of at least a portion of the predicates possible in the XACML permission hierarchy and the effect on each of the portion of the predicates, and to aggregate the targets of the XACML permissions hierarchy; wherein each target contains a rule and aggregating the targets includes computing predicates from the rules and aggregating the predicates into a permission set and a prohibited set to create a serialized policy; wherein the XACML serialization engine is further configured to serialize each policy in the XACML permission hierarchy and the XACML serialization engine is configured to create a serialized policy set by combining each of the serialized policies, the serialized policy set including a first table including permissions and second table including prohibitions, the second table being separate from the first table; wherein aggregating the targets includes computing predicates from the rules and aggregating the predicates into a permission set and a prohibited set to create a serialized policy, and wherein creating the table includes serializing each policy in the XACML permissions specification. | 1. A computer implemented access control system, the system comprising: a database for storing a serialized version of an eXtensible Access Control Markup Language (XACML) permissions hierarchy; a memory for storing an original version of the XACML permissions hierarchy; and an XACML serialization engine configured to convert the XACML permissions hierarchy into the serialized version, wherein the serialized version contains a listing of at least a portion of the predicates possible in the XACML permission hierarchy and the effect on each of the portion of the predicates, and to aggregate the targets of the XACML permissions hierarchy; wherein each target contains a rule and aggregating the targets includes computing predicates from the rules and aggregating the predicates into a permission set and a prohibited set to create a serialized policy; wherein the XACML serialization engine is further configured to serialize each policy in the XACML permission hierarchy and the XACML serialization engine is configured to create a serialized policy set by combining each of the serialized policies, the serialized policy set including a first table including permissions and second table including prohibitions, the second table being separate from the first table; wherein aggregating the targets includes computing predicates from the rules and aggregating the predicates into a permission set and a prohibited set to create a serialized policy, and wherein creating the table includes serializing each policy in the XACML permissions specification. 3. The system of claim 1 , wherein the permissions are resource access permissions. | 0.613469 |
12. The method of claim 1 : wherein the media content item comprises metadata associated with the delimited segment; and wherein evaluating is based, at least in part, on evaluating at least a portion of the metadata associated with the delimited segment. | 12. The method of claim 1 : wherein the media content item comprises metadata associated with the delimited segment; and wherein evaluating is based, at least in part, on evaluating at least a portion of the metadata associated with the delimited segment. 13. The method of claim 12 wherein the metadata are selected from the group consisting of: text, an electronic program guide, closed-captioning information, a script, and staging instructions. | 0.928992 |
20. The method of claim 19 , further comprising conducting a transaction based on the tree image. | 20. The method of claim 19 , further comprising conducting a transaction based on the tree image. 21. The method of claim 20 , further comprising entering update information into a browser associated with the application based on the transaction. | 0.984303 |
16. A non-transitory computer-readable medium tangibly encoding computer program instructions executable by data processing apparatus to perform operations comprising: providing a plurality of computer-readable master tables, each computer-readable master table associated with a respective business objects data source of a plurality of business objects data sources, each business objects data source stores a plurality of data items; receiving a search query including one or more query terms, each query term represents first metadata included in metadata associated with a plurality of business objects data sources; identifying, for each query term, one or more business objects data sources that are associated with the first metadata by searching a plurality of computer-searchable index documents, each computer-searchable index document references the metadata associated with a respective business objects data sources; identifying, for each query term, the metadata associated with the identified one or more business objects data sources by searching the plurality of computer-readable master tables, wherein the identified metadata associated with the identified one or more business objects data sources includes the first metadata and additional metadata associated with the identified one or more business objects data sources; searching the identified one or more business objects data sources for data items that satisfy the identified metadata; and providing representations of the data items and identified metadata in response to receiving the search query. | 16. A non-transitory computer-readable medium tangibly encoding computer program instructions executable by data processing apparatus to perform operations comprising: providing a plurality of computer-readable master tables, each computer-readable master table associated with a respective business objects data source of a plurality of business objects data sources, each business objects data source stores a plurality of data items; receiving a search query including one or more query terms, each query term represents first metadata included in metadata associated with a plurality of business objects data sources; identifying, for each query term, one or more business objects data sources that are associated with the first metadata by searching a plurality of computer-searchable index documents, each computer-searchable index document references the metadata associated with a respective business objects data sources; identifying, for each query term, the metadata associated with the identified one or more business objects data sources by searching the plurality of computer-readable master tables, wherein the identified metadata associated with the identified one or more business objects data sources includes the first metadata and additional metadata associated with the identified one or more business objects data sources; searching the identified one or more business objects data sources for data items that satisfy the identified metadata; and providing representations of the data items and identified metadata in response to receiving the search query. 17. The medium of claim 16 , the operations further comprising, for each business objects data source, representing a respective plurality of data items stored in a respective business objects data source in a table structure including one or more tables including one or more columns, each column including one or more cells representing the respective plurality of data items. | 0.536224 |
1. A method comprising: training, at a user terminal, a first voice conversion model with respect to a training source speech of a first speaker and a second voice conversion model with respect to a training target speech of a second speaker; wherein training the first voice conversion model further comprises determining a first conversion function for transforming any source speech into corresponding synthetic speech, the first conversion function receiving the training source speech of the first speaker and a training source synthetic speech of the first speaker as inputs, and wherein training the second voice conversion model further comprises determining a second conversion function for transforming synthetic speech into corresponding target speech, the second conversion function receiving the training target speech of the second speaker and a training target synthetic speech of the second speaker as inputs, and wherein said training target synthetic speech is produced from said training target speech; processing, at the user terminal, source speech of the first speaker using the first voice conversion model to convert the source speech to synthetic speech; and processing, at the user terminal, an output of the first voice conversion model at the second voice conversion model to produce target speech corresponding to the source speech. | 1. A method comprising: training, at a user terminal, a first voice conversion model with respect to a training source speech of a first speaker and a second voice conversion model with respect to a training target speech of a second speaker; wherein training the first voice conversion model further comprises determining a first conversion function for transforming any source speech into corresponding synthetic speech, the first conversion function receiving the training source speech of the first speaker and a training source synthetic speech of the first speaker as inputs, and wherein training the second voice conversion model further comprises determining a second conversion function for transforming synthetic speech into corresponding target speech, the second conversion function receiving the training target speech of the second speaker and a training target synthetic speech of the second speaker as inputs, and wherein said training target synthetic speech is produced from said training target speech; processing, at the user terminal, source speech of the first speaker using the first voice conversion model to convert the source speech to synthetic speech; and processing, at the user terminal, an output of the first voice conversion model at the second voice conversion model to produce target speech corresponding to the source speech. 2. The method of claim 1 , wherein utterances of the training source speech are not parallel to utterances of the training target speech. | 0.609742 |
13. A non-transitory computer-readable medium storing instructions executable by one or more processors which, upon such execution, cause the one or more processors to perform operations comprising: providing particular audio data to each automated speech recognizer of a set of automated speech recognizers; before all of the automated speech recognizers have output a respective hypothesis for the particular audio data, determining that a particular automated speech recognizer of the set of automated speech recognizers has output a hypothesis for the particular audio data, and that a confidence value associated with the hypothesis that is output by the particular automated speech recognizer satisfies a particular confidence value threshold; and while at least one of the automated speech recognizers that has been provided the particular audio data is indicated as not yet finished generating a respective hypothesis for the particular audio data, and in response to determining that the particular automated speech recognizer of the set of automated speech recognizers has output the hypothesis for the particular audio data, and that the confidence value associated with the hypothesis that is output by the particular automated speech recognizer satisfies the particular confidence value threshold: providing the hypothesis that is output by the particular automated speech recognizer, of the set of automated speech recognizers, as a top speech recognition hypothesis; and transmitting a command to stop the at least one of the automated speech recognizers of the set of automated speech recognizers that has been provided the particular audio data and that is indicated as not yet finished generating the respective hypothesis for the particular audio data from finishing generating the respective hypothesis for the particular audio data. | 13. A non-transitory computer-readable medium storing instructions executable by one or more processors which, upon such execution, cause the one or more processors to perform operations comprising: providing particular audio data to each automated speech recognizer of a set of automated speech recognizers; before all of the automated speech recognizers have output a respective hypothesis for the particular audio data, determining that a particular automated speech recognizer of the set of automated speech recognizers has output a hypothesis for the particular audio data, and that a confidence value associated with the hypothesis that is output by the particular automated speech recognizer satisfies a particular confidence value threshold; and while at least one of the automated speech recognizers that has been provided the particular audio data is indicated as not yet finished generating a respective hypothesis for the particular audio data, and in response to determining that the particular automated speech recognizer of the set of automated speech recognizers has output the hypothesis for the particular audio data, and that the confidence value associated with the hypothesis that is output by the particular automated speech recognizer satisfies the particular confidence value threshold: providing the hypothesis that is output by the particular automated speech recognizer, of the set of automated speech recognizers, as a top speech recognition hypothesis; and transmitting a command to stop the at least one of the automated speech recognizers of the set of automated speech recognizers that has been provided the particular audio data and that is indicated as not yet finished generating the respective hypothesis for the particular audio data from finishing generating the respective hypothesis for the particular audio data. 15. The computer-readable medium of claim 13 , wherein information that identifies the particular automated speech recognizer from the set of automated speech recognizers is provided with the hypothesis that is output by the particular automated speech recognizer. | 0.510777 |
1. A computer-implemented method for race logic analysis on an integrated circuit (IC) design, to aid IC chip designers to detect and correct errors in their circuits and hence produce reliable IC products, the race logic analysis method comprising—using a processor to perform one or more of the following steps (a) detecting concurrent invocation of HDL-defined system functions/tasks that may cause one or more static or global signals/registers in the IC to be concurrently assigned or concurrently assigned and referenced, and render indeterminate values for those signals/registers; (b) detecting concurrently execution of “un-related” process blocks in the IC design that may cause one or more signals/registers to be concurrently assigned with different values, and hence render indeterminate values for those signals/registers; (c) detecting concurrently execution of “un-related” process blocks in the IC design that may cause one or more signals/registers to be concurrently assigned and being referenced by different process blocks, and render indeterminate values being read by driven process blocks; (d) detecting, dynamically via an event-driven logic simulation, circular functions/tasks invocation that may cause operation of the IC design to hang (deadlock); (e) detecting user-defined functions/tasks that invoke themselves recursively without termination, and hence render the IC design operation to hang (deadlock); (f) detecting concurrent invocation of HDL-defined functions/tasks that are built-in to HDL-defined inter-process communication (IPC) objects by “un-related” processes, that may render execution order of said “un-related” processes indeterminate, and/or that may process data that are of indeterminate values. | 1. A computer-implemented method for race logic analysis on an integrated circuit (IC) design, to aid IC chip designers to detect and correct errors in their circuits and hence produce reliable IC products, the race logic analysis method comprising—using a processor to perform one or more of the following steps (a) detecting concurrent invocation of HDL-defined system functions/tasks that may cause one or more static or global signals/registers in the IC to be concurrently assigned or concurrently assigned and referenced, and render indeterminate values for those signals/registers; (b) detecting concurrently execution of “un-related” process blocks in the IC design that may cause one or more signals/registers to be concurrently assigned with different values, and hence render indeterminate values for those signals/registers; (c) detecting concurrently execution of “un-related” process blocks in the IC design that may cause one or more signals/registers to be concurrently assigned and being referenced by different process blocks, and render indeterminate values being read by driven process blocks; (d) detecting, dynamically via an event-driven logic simulation, circular functions/tasks invocation that may cause operation of the IC design to hang (deadlock); (e) detecting user-defined functions/tasks that invoke themselves recursively without termination, and hence render the IC design operation to hang (deadlock); (f) detecting concurrent invocation of HDL-defined functions/tasks that are built-in to HDL-defined inter-process communication (IPC) objects by “un-related” processes, that may render execution order of said “un-related” processes indeterminate, and/or that may process data that are of indeterminate values. 4. The method of claim 1 , wherein step (a) further comprises: (i) collecting triggering conditions for HDL-defined functions/tasks that have side-effect; (j) collecting the triggering conditions for all un-related processing blocks that invoke those functions/tasks; (k) discarding process blocks identified in (j) in further analysis if those blocks are coded in a HDL language that will render the system functions/tasks to not manifest side-effect; (l) checking the triggering conditions for the HDL-defined functions/tasks that are compatible with that of the un-related process blocks; and (m) marking a race condition as detected if the compatibility is proven. | 0.578358 |
11. The system of claim 9 , wherein said constructing said inverted index comprises: generating a full path token and a full path token posting list associated therewith by said inverted index, said full path token posting list including a plurality of identifiers representing said plurality of documents, wherein an identifier of said plurality of identifiers represents said document and includes a payload value, said payload value identifying a full path of said document in said tree structure, and said payload value including a set of full path indicators provided by a scheme that uniquely labels each sibling node of said tree structure. | 11. The system of claim 9 , wherein said constructing said inverted index comprises: generating a full path token and a full path token posting list associated therewith by said inverted index, said full path token posting list including a plurality of identifiers representing said plurality of documents, wherein an identifier of said plurality of identifiers represents said document and includes a payload value, said payload value identifying a full path of said document in said tree structure, and said payload value including a set of full path indicators provided by a scheme that uniquely labels each sibling node of said tree structure. 13. The system of claim 11 , wherein said scheme is a Dewey labeling scheme. | 0.937118 |
12. The method of claim 1 , comprising ranking each particular revised query based on the respective predicted likelihood. | 12. The method of claim 1 , comprising ranking each particular revised query based on the respective predicted likelihood. 13. The method of claim 12 , comprising: selecting a top n of the ranked, particular revised queries; and providing only the top n of the ranked, particular revised queries for output. | 0.944511 |
8. The method of claim 7 , wherein said determining the confidence level comprises analyzing one or more of: (i) the data maintained within the widget application, (ii) hierarchical position of the widget application within the ranked result set, and (iii) the intent weight associated with the search query; (iv) determinative words associated with the search query; (v) stop words associated with the search query and (vi) frequency of the search query and a response from the widget application combination when other users perform similar search queries. | 8. The method of claim 7 , wherein said determining the confidence level comprises analyzing one or more of: (i) the data maintained within the widget application, (ii) hierarchical position of the widget application within the ranked result set, and (iii) the intent weight associated with the search query; (iv) determinative words associated with the search query; (v) stop words associated with the search query and (vi) frequency of the search query and a response from the widget application combination when other users perform similar search queries. 11. The method of claim 8 , wherein said determining the confidence level comprises analyzing hierarchical position of the widget application and an intent weight. | 0.78996 |
6. The computer-implemented method of claim 5 , further comprising: comparing, by the speech recognition-enabled electronic device, the number of frames in the sequence of contiguous frames corresponding to the shortest segment to the threshold value, the threshold value comprising a threshold frame value; and when the number of frames in the sequence of contiguous frames corresponding to the shortest segment is less than the threshold frame value, prompting, by the speech recognition-enabled electronic device, the user to speak the trigger phrase in a second attempt. | 6. The computer-implemented method of claim 5 , further comprising: comparing, by the speech recognition-enabled electronic device, the number of frames in the sequence of contiguous frames corresponding to the shortest segment to the threshold value, the threshold value comprising a threshold frame value; and when the number of frames in the sequence of contiguous frames corresponding to the shortest segment is less than the threshold frame value, prompting, by the speech recognition-enabled electronic device, the user to speak the trigger phrase in a second attempt. 7. The computer-implemented method of claim 6 , wherein the threshold frame count is 27 frames. | 0.925382 |
1. A machine-implemented method, comprising: identifying content items provided in response to a query including a set of search terms associated with a topic; receiving an indication of selection of at least one content item of the content items, wherein the selection of the at least one content item provides access to the at least one content item; associating, in response to receiving the indication, the set of search terms of the query with the topic of the selected at least one content item; analyzing the set of search terms based on the content items provided in response to the query as search results; selecting one or more terms from the set of search terms based on the analysis; generating a label from the selected one or more terms by restricting titles of the content items to be excluded from the label; and applying the label to the content items relating to the topic. | 1. A machine-implemented method, comprising: identifying content items provided in response to a query including a set of search terms associated with a topic; receiving an indication of selection of at least one content item of the content items, wherein the selection of the at least one content item provides access to the at least one content item; associating, in response to receiving the indication, the set of search terms of the query with the topic of the selected at least one content item; analyzing the set of search terms based on the content items provided in response to the query as search results; selecting one or more terms from the set of search terms based on the analysis; generating a label from the selected one or more terms by restricting titles of the content items to be excluded from the label; and applying the label to the content items relating to the topic. 6. The method of claim 1 , wherein the label comprises a title applied to a collection of content items relating to the topic. | 0.589503 |
9. A system comprising: a digital object embodied on a computer-readable storage medium; a tag associated with the digital object and embodied on the computer-readable storage medium, wherein the tag includes a property that associates a strongly typed variable with the tag, wherein the tag is configured to associate a changeable property with the strongly typed variable, the strongly typed variable including a unique ID, the changeable property being a name, and wherein different names associated with a same unique ID are automatically resolved to the same unique ID independent of a user resolving the different names; and code embodied on the computer-readable storage medium configured to present the tag in a navigation tree that comprises a tag node expandable to expose a list of previously created tags, the code further configured to use the tag to present multiple user-selectable communication options to the user that the user can select, via a cursor, to cause initiation of a communication with a tagged entity, responsive to the user interacting with the digital object. | 9. A system comprising: a digital object embodied on a computer-readable storage medium; a tag associated with the digital object and embodied on the computer-readable storage medium, wherein the tag includes a property that associates a strongly typed variable with the tag, wherein the tag is configured to associate a changeable property with the strongly typed variable, the strongly typed variable including a unique ID, the changeable property being a name, and wherein different names associated with a same unique ID are automatically resolved to the same unique ID independent of a user resolving the different names; and code embodied on the computer-readable storage medium configured to present the tag in a navigation tree that comprises a tag node expandable to expose a list of previously created tags, the code further configured to use the tag to present multiple user-selectable communication options to the user that the user can select, via a cursor, to cause initiation of a communication with a tagged entity, responsive to the user interacting with the digital object. 11. The system of claim 9 , wherein the changeable property includes a string type property that can be used to provide a friendly name for the object. | 0.623168 |
7. Apparatus comprising: at least one processor; and a memory storing processor-executable instructions that, when executed by the at least one processor, perform a method comprising: extracting, from a text documenting a clinician's encounter with a single patient, a set of one or more clinical facts representing one or more abstract semantic concepts, wherein the extracting comprises analyzing the text, via a natural language understanding engine, to identify a set of one or more features of at least a portion of the text, and correlating the set of features to the one or more abstract semantic concepts; wherein the one or more abstract semantic concepts comprise a first diagnosis that the clinician, in the text, indicated that the patient exhibited; wherein the first diagnosis is a generic diagnosis representing a class of a plurality of more specific subdiagnoses of the first diagnosis; wherein the method further comprises: analyzing a history record comprising data indicative of the patient's history to determine an additional fact without needing to request input of the additional fact; analyzing the set of one or more clinical facts and the additional fact to generate one or more hypotheses for a second diagnosis, exhibited by the patient and not documented in the text, the second diagnosis being a particular one of the plurality of more specific subdiagnoses of the first diagnosis that the clinician indicated that the patient exhibited; and presenting, to a user, the generated at least one of the one or more hypotheses. | 7. Apparatus comprising: at least one processor; and a memory storing processor-executable instructions that, when executed by the at least one processor, perform a method comprising: extracting, from a text documenting a clinician's encounter with a single patient, a set of one or more clinical facts representing one or more abstract semantic concepts, wherein the extracting comprises analyzing the text, via a natural language understanding engine, to identify a set of one or more features of at least a portion of the text, and correlating the set of features to the one or more abstract semantic concepts; wherein the one or more abstract semantic concepts comprise a first diagnosis that the clinician, in the text, indicated that the patient exhibited; wherein the first diagnosis is a generic diagnosis representing a class of a plurality of more specific subdiagnoses of the first diagnosis; wherein the method further comprises: analyzing a history record comprising data indicative of the patient's history to determine an additional fact without needing to request input of the additional fact; analyzing the set of one or more clinical facts and the additional fact to generate one or more hypotheses for a second diagnosis, exhibited by the patient and not documented in the text, the second diagnosis being a particular one of the plurality of more specific subdiagnoses of the first diagnosis that the clinician indicated that the patient exhibited; and presenting, to a user, the generated at least one of the one or more hypotheses. 9. The apparatus of claim 7 , wherein the first diagnosis corresponds to a first code in a hierarchical coding system, and wherein the one or more hypotheses for the second diagnosis include at least one code in the hierarchical coding system that is a more specific version of the first code. | 0.512829 |
1. An information processing device comprising: a memory, one or more processors coupled to said memory for executing: a communication unit configured to transmit textual information; a schedule storage unit configured to store schedule information; a keyword storage unit configured to store multiple keywords that are classified into multiple categories; a keyword extraction unit configured to extract keywords from the textual information transmitted by the communication unit on the basis of the keywords stored in the keyword storage unit, and specify one category corresponding the extracted keywords when extracting a keyword which was classified into a plurality of categories based on a position thereof and relationships to other words in the text information; a schedule information creation unit configured to create new schedule information or revised schedule information which causes schedule information stored in the schedule storage unit to be updated, based on the keywords extracted by the keyword extraction unit and the categories of the extracted keywords; and a schedule updating unit configured to store the new schedule information into the schedule storage unit, and update the schedule information stored in the schedule storage unit with the revised schedule information, wherein the schedule information creation unit is configured to: determine whether the extracted keywords include a keyword classified to a category for revising the schedule, indicating completion of a job, or settlement of existing schedule information, and create the new schedule information including date and content when determining there is no keyword classified to the category for revising the schedule, indicating completion of a job, or settlement of existing schedule information; and create schedule information for updating the existing schedule information when determining there is a keyword classified to the category for revising the schedule, indicating completion of a job, or settlement of existing schedule information, and wherein the schedule updating unit is configured to: compare the new schedule information with the schedule information stored in the schedule storage unit to find a similar schedule information which is similar to the new schedule information, update the found similar schedule information with the new schedule information when finding the similar schedule information, and store the new schedule information in the schedule information storing unit when not finding the similar schedule information; and compare the schedule information for modifying and the schedule information stored in the schedule storage unit to find a similar schedule information which is similar to the schedule information for modifying, update the found similar schedule information with the schedule information for modifying when finding the similar schedule information stored in the schedule storage unit, and store the schedule information for modifying in the schedule storage unit when not finding the similar schedule information in the schedule storage unit. | 1. An information processing device comprising: a memory, one or more processors coupled to said memory for executing: a communication unit configured to transmit textual information; a schedule storage unit configured to store schedule information; a keyword storage unit configured to store multiple keywords that are classified into multiple categories; a keyword extraction unit configured to extract keywords from the textual information transmitted by the communication unit on the basis of the keywords stored in the keyword storage unit, and specify one category corresponding the extracted keywords when extracting a keyword which was classified into a plurality of categories based on a position thereof and relationships to other words in the text information; a schedule information creation unit configured to create new schedule information or revised schedule information which causes schedule information stored in the schedule storage unit to be updated, based on the keywords extracted by the keyword extraction unit and the categories of the extracted keywords; and a schedule updating unit configured to store the new schedule information into the schedule storage unit, and update the schedule information stored in the schedule storage unit with the revised schedule information, wherein the schedule information creation unit is configured to: determine whether the extracted keywords include a keyword classified to a category for revising the schedule, indicating completion of a job, or settlement of existing schedule information, and create the new schedule information including date and content when determining there is no keyword classified to the category for revising the schedule, indicating completion of a job, or settlement of existing schedule information; and create schedule information for updating the existing schedule information when determining there is a keyword classified to the category for revising the schedule, indicating completion of a job, or settlement of existing schedule information, and wherein the schedule updating unit is configured to: compare the new schedule information with the schedule information stored in the schedule storage unit to find a similar schedule information which is similar to the new schedule information, update the found similar schedule information with the new schedule information when finding the similar schedule information, and store the new schedule information in the schedule information storing unit when not finding the similar schedule information; and compare the schedule information for modifying and the schedule information stored in the schedule storage unit to find a similar schedule information which is similar to the schedule information for modifying, update the found similar schedule information with the schedule information for modifying when finding the similar schedule information stored in the schedule storage unit, and store the schedule information for modifying in the schedule storage unit when not finding the similar schedule information in the schedule storage unit. 7. The information processing device according to claim 1 , wherein the categories of the keywords include a category of topic, a category for request, and a category for ToDo list, and the schedule updating unit is configured to classify the created schedule information into the category for topic when the extracted keyword is classified to the category for topic, into the category for request when the extracted keyword is classified to the category for request, and into the category for ToDo list when the extracted keyword is classified to the category for ToDo list. | 0.694592 |
15. A computer-implemented method of processing messages, comprising: at a server computer system having one or more processors and memory storing one or more programs, the one or more processors executing the one or more programs to perform the operations of: receiving a plurality of messages directed to a user, each message having a unique message identifier; associating each of the plurality of messages with a respective conversation, each conversation having a respective conversation identifier; wherein each conversation comprises a set of one or more messages sharing a common set of characteristics that meet first predefined criteria and the respective conversation identifier is distinct from a subject reference of the one or more messages in the respective conversation; associating with each conversation a set of senders of messages included in the conversation; and providing presentation information for displaying a list of conversations in an order determined in accordance with second predefined criteria, each conversation being represented as a single item in the list, wherein a plurality of conversations in the list of conversations each include a plurality of messages that share a common set of characteristics that meet the first predefined criteria; wherein providing presentation information includes providing information to display the list of conversations as a set of rows, each row corresponding to one of the listed conversations and including at least a sender list, a conversation topic and a date/time value, wherein the sender list of a row in the list of conversations includes identifiers of one or more senders of at least one message in the corresponding conversation, including identifiers of a plurality of the senders in the set of senders, but less than all of the senders in the set of senders, when the set of senders exceeds a predefined limit. | 15. A computer-implemented method of processing messages, comprising: at a server computer system having one or more processors and memory storing one or more programs, the one or more processors executing the one or more programs to perform the operations of: receiving a plurality of messages directed to a user, each message having a unique message identifier; associating each of the plurality of messages with a respective conversation, each conversation having a respective conversation identifier; wherein each conversation comprises a set of one or more messages sharing a common set of characteristics that meet first predefined criteria and the respective conversation identifier is distinct from a subject reference of the one or more messages in the respective conversation; associating with each conversation a set of senders of messages included in the conversation; and providing presentation information for displaying a list of conversations in an order determined in accordance with second predefined criteria, each conversation being represented as a single item in the list, wherein a plurality of conversations in the list of conversations each include a plurality of messages that share a common set of characteristics that meet the first predefined criteria; wherein providing presentation information includes providing information to display the list of conversations as a set of rows, each row corresponding to one of the listed conversations and including at least a sender list, a conversation topic and a date/time value, wherein the sender list of a row in the list of conversations includes identifiers of one or more senders of at least one message in the corresponding conversation, including identifiers of a plurality of the senders in the set of senders, but less than all of the senders in the set of senders, when the set of senders exceeds a predefined limit. 22. The method of claim 15 , wherein at least one row in the displayed list of conversations further includes at least one user-defined label associated with the corresponding conversation. | 0.614833 |
11. The system of claim 8 , wherein the comparison results in a variance that identifies how different the first sample is from the second sample. | 11. The system of claim 8 , wherein the comparison results in a variance that identifies how different the first sample is from the second sample. 12. The system of claim 11 , wherein when the variance is below a threshold, then not enrolling the user in the speech verification system. | 0.934592 |
2. The method of claim 1 , wherein the subset is the top 50% or less of the audio files based upon an acoustical difference between the specific speaker and the at least one other speaker. | 2. The method of claim 1 , wherein the subset is the top 50% or less of the audio files based upon an acoustical difference between the specific speaker and the at least one other speaker. 7. The method of claim 2 , wherein the clustered specific speaker segments and other speaker segments are compared to the speaker metadata to evaluate the speaker metadata. | 0.951933 |
2. The non-transitory machine-readable storage medium of claim 1 , wherein: the feature is a feature that was previously determined to be a feature capable of distinguishing the document image or a document that comprises the document image, and the feature was previously identified by analysis of a plurality of training documents each having at least one unique feature different from at least one of the other training documents. | 2. The non-transitory machine-readable storage medium of claim 1 , wherein: the feature is a feature that was previously determined to be a feature capable of distinguishing the document image or a document that comprises the document image, and the feature was previously identified by analysis of a plurality of training documents each having at least one unique feature different from at least one of the other training documents. 6. The non-transitory machine-readable storage medium of claim 2 , wherein: the feature is predefined, and the identifying the feature in the document image further comprises performing optical character recognition (OCR) on the feature in the document image. | 0.838915 |
11. A system of evaluating coded medical documents, the system comprising: a user interface device; and one or more computers communicatively coupled to the user interface device, the one or more computers including a processor and a display configured to provide a graphical user interface to an auditor, the one or more computers configured to perform operations including: receive audit parameters comprising an expected coder error level, and receiving an empirically established expected auditor error level of an auditor based on an assessment of the auditor; select a sample batch of coded medical documents for auditing by the auditor, the sample batch of coded medical documents selected from a universe of coded medical documents stored on one or more storage devices, the selection based at least in part on the received audit parameters; receive audited medical documents corresponding to the selected sample batch of coded medical documents, wherein the audited medical documents include corrections by the auditor; calculate a medical document score for each of the audited medical documents based on medical document corrections received from the auditor and applying weighted factors, wherein the weighted factors comprise predefined weights assigned to diagnosis and procedure codes in each of the audited medical documents; calculate a sample score for the audited medical documents based on a function of the calculated medical document scores; designate at least one of an upper control limit and a lower control limit based on the expected auditor error level; and compare the sample score against the at least one of the upper and lower control limits to determine an acceptability of the sample score. | 11. A system of evaluating coded medical documents, the system comprising: a user interface device; and one or more computers communicatively coupled to the user interface device, the one or more computers including a processor and a display configured to provide a graphical user interface to an auditor, the one or more computers configured to perform operations including: receive audit parameters comprising an expected coder error level, and receiving an empirically established expected auditor error level of an auditor based on an assessment of the auditor; select a sample batch of coded medical documents for auditing by the auditor, the sample batch of coded medical documents selected from a universe of coded medical documents stored on one or more storage devices, the selection based at least in part on the received audit parameters; receive audited medical documents corresponding to the selected sample batch of coded medical documents, wherein the audited medical documents include corrections by the auditor; calculate a medical document score for each of the audited medical documents based on medical document corrections received from the auditor and applying weighted factors, wherein the weighted factors comprise predefined weights assigned to diagnosis and procedure codes in each of the audited medical documents; calculate a sample score for the audited medical documents based on a function of the calculated medical document scores; designate at least one of an upper control limit and a lower control limit based on the expected auditor error level; and compare the sample score against the at least one of the upper and lower control limits to determine an acceptability of the sample score. 16. The system of claim 11 , wherein the medical document corrections and a type of each of the corrections are recorded for the sample batch of coded medical documents. | 0.530351 |
1. A method for detecting and classifying talking segments of a face in a visual cue in order to infer emotions, the method comprising: normalizing and localizing a face region for each frame of the visual cue; obtaining a histogram of structure descriptive features of the face for the frame in the visual cue; deriving an integrated gradient histogram (IGH) from the descriptive features for the frame in the visual cue; computing entropy of the IGH for the frame in the visual cue; performing segmentation of the IGH to detect talking segments for the face in the visual cues; and analyzing the segments for the frame in the visual cues to infer emotions. | 1. A method for detecting and classifying talking segments of a face in a visual cue in order to infer emotions, the method comprising: normalizing and localizing a face region for each frame of the visual cue; obtaining a histogram of structure descriptive features of the face for the frame in the visual cue; deriving an integrated gradient histogram (IGH) from the descriptive features for the frame in the visual cue; computing entropy of the IGH for the frame in the visual cue; performing segmentation of the IGH to detect talking segments for the face in the visual cues; and analyzing the segments for the frame in the visual cues to infer emotions. 7. The method as in claim 1 , wherein the analyzing comprises employing entire facial action units (AUs) for inferring emotions of non talking faces. | 0.789729 |
1. A method performed by a server system for automatically generating personalized memory compilations and eliciting latent memories, the method comprising: a) receiving information for a group, wherein the group has members and is defined based on a shared experience, and wherein the information for the group identifies the group members; b) after receiving the information identifying the group members, assembling a content collection through nominal group recall by, for each of a plurality of group members, independently performing a set of acts comprising: i) prompting that member to provide computer readable data items representing memories of that member which are relevant to the shared experience; ii) receiving, from that member, one or more computer readable data items representing memories of that member which are relevant to the shared experience; iii) storing the one or more computer readable data items received from that member in the content collection; c) selectively including data items representing an intersection of memories of different individuals in personalized memory compilations of the plurality of group members by, for each of the plurality of group members, performing a set of acts comprising the following acts with that member as subject member: i) receiving, from the subject member, memory enrichment information, wherein the memory enrichment information comprises information identifying other group members whose memories should be included in a personalized memory compilation for the subject member; and ii) generating the personalized memory compilation for the subject member, wherein the personalized memory compilation for the subject member comprises: A) the computer readable data items stored in the content collection which represent memories of the subject member which are relevant to the shared experience; and B) the computer readable data items stored in the content collection which represent memories of other members identified as members whose memories should be included in the personalized memory compilation for the subject member; and d) eliciting latent memories from the plurality of group members through providing group members access to each others' memories in a controlled manner by, for each of the plurality of group members, providing that group member with the personalized memory compilation generated for that member, wherein providing group members access to each others' memories in a controlled manner comprises providing group members access to each others' memories after assembling the content collection through nominal group recall. | 1. A method performed by a server system for automatically generating personalized memory compilations and eliciting latent memories, the method comprising: a) receiving information for a group, wherein the group has members and is defined based on a shared experience, and wherein the information for the group identifies the group members; b) after receiving the information identifying the group members, assembling a content collection through nominal group recall by, for each of a plurality of group members, independently performing a set of acts comprising: i) prompting that member to provide computer readable data items representing memories of that member which are relevant to the shared experience; ii) receiving, from that member, one or more computer readable data items representing memories of that member which are relevant to the shared experience; iii) storing the one or more computer readable data items received from that member in the content collection; c) selectively including data items representing an intersection of memories of different individuals in personalized memory compilations of the plurality of group members by, for each of the plurality of group members, performing a set of acts comprising the following acts with that member as subject member: i) receiving, from the subject member, memory enrichment information, wherein the memory enrichment information comprises information identifying other group members whose memories should be included in a personalized memory compilation for the subject member; and ii) generating the personalized memory compilation for the subject member, wherein the personalized memory compilation for the subject member comprises: A) the computer readable data items stored in the content collection which represent memories of the subject member which are relevant to the shared experience; and B) the computer readable data items stored in the content collection which represent memories of other members identified as members whose memories should be included in the personalized memory compilation for the subject member; and d) eliciting latent memories from the plurality of group members through providing group members access to each others' memories in a controlled manner by, for each of the plurality of group members, providing that group member with the personalized memory compilation generated for that member, wherein providing group members access to each others' memories in a controlled manner comprises providing group members access to each others' memories after assembling the content collection through nominal group recall. 2. The method of claim 1 , wherein the method comprises, for each of the plurality of group members, providing that group member a list of other individuals who could potentially submit computer readable data items which should be included in that group member's personalized memory compilation. | 0.634716 |
1. A method of providing error correction, the method comprising: computing a first check code for first data, wherein the first check code corresponds to a first matrix multiplication of the first data and a matrix; selectively inverting bits of the first check code to generate a second check code according to an inversion pattern, wherein the inversion pattern corresponds to a second matrix multiplication of an initial data comprising erased states and the matrix; and programming the first data and the second check code to a plurality of data storage cells. | 1. A method of providing error correction, the method comprising: computing a first check code for first data, wherein the first check code corresponds to a first matrix multiplication of the first data and a matrix; selectively inverting bits of the first check code to generate a second check code according to an inversion pattern, wherein the inversion pattern corresponds to a second matrix multiplication of an initial data comprising erased states and the matrix; and programming the first data and the second check code to a plurality of data storage cells. 5. The method of claim 1 , wherein the data storage cells comprise flash memory cells. | 0.704272 |
5. A method of transferring data via a communication session between a client application on a first network and a server application on a second network, the method comprising: outputting, to a device that includes the client application, a Web page comprising a proxy, the proxy for converting between a non-local protocol and a local protocol associated with the client application to thereby provide data to the client application in the local protocol; assigning an identifier to the communication session; creating at least one queue associated with the communication session; storing data received from the server application in the at least one queue, the received data being stored using the identifier; receiving polling data from the proxy to obtain the received data that is destined for the client application from the at least one queue associated with the communication session; outputting the received data to the proxy in response to the polling data; wherein the client application and the server application run local protocols, and the received data is passed from the server application to the client application via an intermediary protocol that corresponds to the non-local protocol; and wherein the client application is on the first network behind a first firewall, and the server application on the second network is behind a second firewall that is different from the first firewall. | 5. A method of transferring data via a communication session between a client application on a first network and a server application on a second network, the method comprising: outputting, to a device that includes the client application, a Web page comprising a proxy, the proxy for converting between a non-local protocol and a local protocol associated with the client application to thereby provide data to the client application in the local protocol; assigning an identifier to the communication session; creating at least one queue associated with the communication session; storing data received from the server application in the at least one queue, the received data being stored using the identifier; receiving polling data from the proxy to obtain the received data that is destined for the client application from the at least one queue associated with the communication session; outputting the received data to the proxy in response to the polling data; wherein the client application and the server application run local protocols, and the received data is passed from the server application to the client application via an intermediary protocol that corresponds to the non-local protocol; and wherein the client application is on the first network behind a first firewall, and the server application on the second network is behind a second firewall that is different from the first firewall. 10. The method of claim 5 , wherein the method is performed by a processing device, and wherein the processing device is selected from among plural processing devices in a load balancing process. | 0.651076 |
40. An apparatus comprising: means for receiving, through a hardware input device, search input from a user; means for determining, based on substantive characteristics of the search input, whether the first search input triggers an automatic submission of a query to an Internet search engine; means for determining, based on substantive characteristics of the search input, whether to delay the trigger for automatic submission, wherein the query is automatically submitted to the search engine if the search input satisfies a temporal trigger, wherein the temporal trigger is based upon a connection speed to the search engine; means for automatically submitting the query to the search engine, the query based on the received search input; and means for displaying results of the query. | 40. An apparatus comprising: means for receiving, through a hardware input device, search input from a user; means for determining, based on substantive characteristics of the search input, whether the first search input triggers an automatic submission of a query to an Internet search engine; means for determining, based on substantive characteristics of the search input, whether to delay the trigger for automatic submission, wherein the query is automatically submitted to the search engine if the search input satisfies a temporal trigger, wherein the temporal trigger is based upon a connection speed to the search engine; means for automatically submitting the query to the search engine, the query based on the received search input; and means for displaying results of the query. 42. The apparatus of claim 40 , wherein the search input includes text. | 0.78787 |
21. The method for extracting and tracking media tags within video content, comprising the steps of: receiving video content with a server from one or more content sources; saving the video content in a storage; extracting on the server at least one frame of the video content; detecting on the server one or more unknown text within the frame and creating one or more images, each of the one or more images associated with one of the one or more unknown text; retrieving metadata associated with the one or more unknown text appearing in the frame; scanning the one or more images using optical character recognition and converting the one or more images into one or more known text, each of the one or more known text associated with one of the one or more unknown text; and determining whether the one or more known text is a media tag. | 21. The method for extracting and tracking media tags within video content, comprising the steps of: receiving video content with a server from one or more content sources; saving the video content in a storage; extracting on the server at least one frame of the video content; detecting on the server one or more unknown text within the frame and creating one or more images, each of the one or more images associated with one of the one or more unknown text; retrieving metadata associated with the one or more unknown text appearing in the frame; scanning the one or more images using optical character recognition and converting the one or more images into one or more known text, each of the one or more known text associated with one of the one or more unknown text; and determining whether the one or more known text is a media tag. 22. The method of claim 21 , wherein the step of detecting comprises the steps of: identifying one or more regions of the frame where the one or more unknown text is displayed; and extracting the one or more regions from the frame for creating the one or more images. | 0.743993 |
8. A system for correcting words in transcribed text, the system comprising: an automated speech recognizer operable to receive speech audio data and in response transcribe the speech audio data in a word lattice; and a computing device comprising: a microphone operable to receive speech audio and generate the speech audio data, a network interface operable to send the speech audio data to the automated speech recognizer and in response receive the word lattice from the automated speech recognizer, a display screen operable to present one or more transcribed words from the word lattice, a user interface operable to receive a user selection of at least one of the transcribed words, and one or more processors and a memory storing instructions that when executed by the processors cause the computing device to perform operations to: provide a first transcription of an utterance, wherein the first transcription of the utterance includes one or more words; receive data indicating a selection of a word from among the one or more words included in the first transcription of the utterance; in response to receiving the data indicating the selection of the word, provide one or more alternate words for the selected word; receive data indicating a selection of a particular alternate word from among the one or more alternate words for the selected word; select a second transcription of the utterance that includes the particular alternate word and that is identified as having a speech recognition confidence measure value that satisfies one or more criteria; and replace the first transcription of the utterance with the second transcription of the utterance. | 8. A system for correcting words in transcribed text, the system comprising: an automated speech recognizer operable to receive speech audio data and in response transcribe the speech audio data in a word lattice; and a computing device comprising: a microphone operable to receive speech audio and generate the speech audio data, a network interface operable to send the speech audio data to the automated speech recognizer and in response receive the word lattice from the automated speech recognizer, a display screen operable to present one or more transcribed words from the word lattice, a user interface operable to receive a user selection of at least one of the transcribed words, and one or more processors and a memory storing instructions that when executed by the processors cause the computing device to perform operations to: provide a first transcription of an utterance, wherein the first transcription of the utterance includes one or more words; receive data indicating a selection of a word from among the one or more words included in the first transcription of the utterance; in response to receiving the data indicating the selection of the word, provide one or more alternate words for the selected word; receive data indicating a selection of a particular alternate word from among the one or more alternate words for the selected word; select a second transcription of the utterance that includes the particular alternate word and that is identified as having a speech recognition confidence measure value that satisfies one or more criteria; and replace the first transcription of the utterance with the second transcription of the utterance. 13. The system of claim 8 , wherein the second transcription of the utterance is a transcription of the utterance that includes the particular alternate word and that is identified as having a highest speech recognizer confidence measure value among all transcriptions of the utterance that include the particular alternate word. | 0.550285 |
22. The non-transitory computer-readable storage medium of claim 21 , wherein the operations further include: creating an enriched transcription of a run-time text string; using the speech-adapted converted HMM based speech features generator to convert the enriched transcription into corresponding output speech features; and generating a synthesized utterance of the enriched transcription using the output speech features, the synthesized utterance having voice characteristics of the target speaker. | 22. The non-transitory computer-readable storage medium of claim 21 , wherein the operations further include: creating an enriched transcription of a run-time text string; using the speech-adapted converted HMM based speech features generator to convert the enriched transcription into corresponding output speech features; and generating a synthesized utterance of the enriched transcription using the output speech features, the synthesized utterance having voice characteristics of the target speaker. 23. The non-transitory computer-readable storage medium of claim 22 , wherein the converted HMM based speech features generator is part of a text-to-speech (TTS) system, wherein creating the enriched transcription of the run-time text string comprises receiving the run-time text string at the TTS system, and converting the received run-time text string into the enriched transcription of the run-time text string by the TTS system, and wherein generating the synthesized utterance of the enriched transcription using the output speech features comprises synthesizing speech by the TTS system. | 0.858555 |
13. A system comprising: a memory; and a processing device operatively coupled to the memory to: identify a component associated with a uniform resource identifier (URI) in metadata for a RESTful (Representational State Transfer) web service; receive user input selecting a programming language; determine programming code format for the component in the selected programming language; populate a file with the programming code format of the component in the selected programming language; identify, in the metadata, a sub-component for the component; and create a placeholder in the file, the placeholder comprising a sub-component placeholder that corresponds to the sub-component, wherein the file causes creation of a method for the URI of the RESTful web service. | 13. A system comprising: a memory; and a processing device operatively coupled to the memory to: identify a component associated with a uniform resource identifier (URI) in metadata for a RESTful (Representational State Transfer) web service; receive user input selecting a programming language; determine programming code format for the component in the selected programming language; populate a file with the programming code format of the component in the selected programming language; identify, in the metadata, a sub-component for the component; and create a placeholder in the file, the placeholder comprising a sub-component placeholder that corresponds to the sub-component, wherein the file causes creation of a method for the URI of the RESTful web service. 15. The system of claim 13 , wherein the component describes a hypertext transfer protocol (HTTP) method. | 0.865155 |
3. The apparatus according to claim 2 , wherein the creating unit includes a graph creating unit that performs a syntactic analysis on the query data and creates a query graph representing the search criterion in a tree structure; a dividing unit that divides the query graph into sub-graphs; an assigning unit that assigns at least one stream of the streams including the data stream and the index stream to each of the sub-graphs; and a plan creating unit that creates a scanning plan including scan instructions that instruct scanning of the streams assigned to the sub-graphs and a control instruction, the control instruction determining the procedure of the scan instructions in accordance with a logical relation of the sub-graphs, and connecting a scan instruction for the second stream to a scan instruction for the first stream in such a manner that the scanning of the second stream is executed according to the result of the scanning performed in accordance with the scan instruction for the first stream. | 3. The apparatus according to claim 2 , wherein the creating unit includes a graph creating unit that performs a syntactic analysis on the query data and creates a query graph representing the search criterion in a tree structure; a dividing unit that divides the query graph into sub-graphs; an assigning unit that assigns at least one stream of the streams including the data stream and the index stream to each of the sub-graphs; and a plan creating unit that creates a scanning plan including scan instructions that instruct scanning of the streams assigned to the sub-graphs and a control instruction, the control instruction determining the procedure of the scan instructions in accordance with a logical relation of the sub-graphs, and connecting a scan instruction for the second stream to a scan instruction for the first stream in such a manner that the scanning of the second stream is executed according to the result of the scanning performed in accordance with the scan instruction for the first stream. 5. The apparatus according to claim 3 , wherein the executing unit executes a scanning in accordance with the scan instruction included in the scanning plan for the first stream, and then skips the scanning of the second stream according to the result of the scanning of the first stream by not executing the scanning instructed by the scan instruction for the second stream, the scan instruction being connected by the control instruction to the scan instruction for the first stream. | 0.745098 |
1. A non-transitory computer program product for generating responses to an electronic communication, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code executable by a computer to perform a method comprising: receiving text from a first client, the text associated with an electronic communication tool for communication to a second client; generating candidate answers based on the text and additional text previously received from the first client using a question answering system, the question answering system generating the candidate answers based on a plurality of data sources comprising at least one personalized data source and at least one informational data source, wherein the at least one personalized data source is personalized to the second client and the at least one informational data source is unstructured data, wherein the plurality of data sources comprises an access-restricted data source accessible by the second client, and wherein one or more of the candidate answers contain analytics rendered from the plurality of data sources; calculating confidence scores for the candidate answers; identifying a highest confidence score from the confidence scores; communicating a first candidate answer associated with the highest confidence score to the first client in response to a specified period of time elapsing after communication of the text to the second client; providing the first user with text notifying the first user of the first candidate answer; inquiring whether the first user would like to send the communication to the second user regardless of the first candidate answer; receiving, from the first user, an indication that the first user would like the communication sent to the second user regardless of the first candidate answer; providing at least one of the candidate answers to the second client, each of the candidate answer provided with an associated confidence score, each of the at least one candidate answers selectable and editable by the second client, wherein the selection of a second candidate answer is based on input received, by the second client, from a user of the second client; displaying the at least one candidate answer to the second client, via a display; receiving the second candidate answer from the second client; and displaying the second candidate answer to the first client. | 1. A non-transitory computer program product for generating responses to an electronic communication, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code executable by a computer to perform a method comprising: receiving text from a first client, the text associated with an electronic communication tool for communication to a second client; generating candidate answers based on the text and additional text previously received from the first client using a question answering system, the question answering system generating the candidate answers based on a plurality of data sources comprising at least one personalized data source and at least one informational data source, wherein the at least one personalized data source is personalized to the second client and the at least one informational data source is unstructured data, wherein the plurality of data sources comprises an access-restricted data source accessible by the second client, and wherein one or more of the candidate answers contain analytics rendered from the plurality of data sources; calculating confidence scores for the candidate answers; identifying a highest confidence score from the confidence scores; communicating a first candidate answer associated with the highest confidence score to the first client in response to a specified period of time elapsing after communication of the text to the second client; providing the first user with text notifying the first user of the first candidate answer; inquiring whether the first user would like to send the communication to the second user regardless of the first candidate answer; receiving, from the first user, an indication that the first user would like the communication sent to the second user regardless of the first candidate answer; providing at least one of the candidate answers to the second client, each of the candidate answer provided with an associated confidence score, each of the at least one candidate answers selectable and editable by the second client, wherein the selection of a second candidate answer is based on input received, by the second client, from a user of the second client; displaying the at least one candidate answer to the second client, via a display; receiving the second candidate answer from the second client; and displaying the second candidate answer to the first client. 3. The computer program product of claim 1 , wherein the calculated confidence scores are higher for candidate answers generated based on the at least one personalized data source. | 0.790509 |
3. A command inputting method used when inputting characters using software for Kana (Japanese character)-to-Chinese character conversion comprising the steps of: receiving a string comprising a plurality of characters through a keyboard; retrieving first Chinese character information or second Chinese character information corresponding to the character string by looking up the string in a Chinese character dictionary in which the first Chinese character information, comprising at least one Chinese character correlated to a character string, and the second Chinese character information, comprising a command and at least one Chinese character correlated to a character string, are previously stored; displaying the retrieved first Chinese character information or second Chinese character information as candidates for conversion in a list; receiving input for selecting a desired Chinese character or a command from the first Chinese character information or second Chinese character information displayed in a list; determining which of a Chinese character or a command has been selected or not according to a result of selection in said selecting step; replacing, when it is determined in said determining step that a Chinese character has been selected, the string with at least one corresponding Chinese character and displaying the at least one Chinese character; and executing the corresponding command when it is determined in said determining step that a command has been selected. | 3. A command inputting method used when inputting characters using software for Kana (Japanese character)-to-Chinese character conversion comprising the steps of: receiving a string comprising a plurality of characters through a keyboard; retrieving first Chinese character information or second Chinese character information corresponding to the character string by looking up the string in a Chinese character dictionary in which the first Chinese character information, comprising at least one Chinese character correlated to a character string, and the second Chinese character information, comprising a command and at least one Chinese character correlated to a character string, are previously stored; displaying the retrieved first Chinese character information or second Chinese character information as candidates for conversion in a list; receiving input for selecting a desired Chinese character or a command from the first Chinese character information or second Chinese character information displayed in a list; determining which of a Chinese character or a command has been selected or not according to a result of selection in said selecting step; replacing, when it is determined in said determining step that a Chinese character has been selected, the string with at least one corresponding Chinese character and displaying the at least one Chinese character; and executing the corresponding command when it is determined in said determining step that a command has been selected. 5. A command inputting method used when inputting characters using software for Kana-to-Chinese character conversion according to claim 3 further comprising a generating step of registering a command in the first Chinese character information in said Chinese character dictionary and generating second Chinese character information. | 0.64282 |
1. A system for copying interactive documents, the system comprising: a copier for scanning a surface of a document, the document being printed with document content and a plurality of coded tags, each tag encoding an identity of the document and the position of that tag on the document, the copier incorporating a sensor for sensing the coded tags; a computer system networked with the copier for identifying a digital version of the document from the document identity of a sensed tag and determining user input on the scanned document using the tag position of the sensed tag, the user input requesting copy content and/or coded data from the computer system; and a printer networked with the computer system for printing a copy of the scanned document incorporating said scanned document content and coded tags and the requested copy content and/or coded data. | 1. A system for copying interactive documents, the system comprising: a copier for scanning a surface of a document, the document being printed with document content and a plurality of coded tags, each tag encoding an identity of the document and the position of that tag on the document, the copier incorporating a sensor for sensing the coded tags; a computer system networked with the copier for identifying a digital version of the document from the document identity of a sensed tag and determining user input on the scanned document using the tag position of the sensed tag, the user input requesting copy content and/or coded data from the computer system; and a printer networked with the computer system for printing a copy of the scanned document incorporating said scanned document content and coded tags and the requested copy content and/or coded data. 7. A system according to claim 1 , wherein the printer prints said printed copy with portions of said document content as scanned by the scanner not contained in said digital version of the document. | 0.539745 |
8. A non-transitory computer readable medium having instructions stored thereon when executed by a processor, evaluates a plurality of proposed states for a storage system that provides service to a plurality of workloads, the computer readable medium comprising sets of instructions to: access a state tree comprising a plurality of nodes arranged in a plurality of hierarchical levels comprising at least first and second levels, the first level comprising a start node representing a current state of the storage system, the second level comprising a plurality of proposed nodes, each proposed node representing a proposed state of the storage system produced by a set of actions associated with the proposed state that changes the current state of the storage system to the proposed state, wherein: each proposed state comprises an associated set of storage-system configuration settings, and at least one service level objective (SLO) comprising a target value of a hardware or software attribute of the storage system is specified for each workload; receive new planner information comprising at least one new configuration certification specifying that a set of storage-system configuration settings achieve one or more SLOs for the workloads of the storage system; remove at least one proposed node in the state tree based on the new planner information, the removal to: determine that at least one proposed node from the state tree that represents a proposed state having an associated set of storage-system configuration settings unique to the set of storage-system configuration settings of the at least one received configuration certification. | 8. A non-transitory computer readable medium having instructions stored thereon when executed by a processor, evaluates a plurality of proposed states for a storage system that provides service to a plurality of workloads, the computer readable medium comprising sets of instructions to: access a state tree comprising a plurality of nodes arranged in a plurality of hierarchical levels comprising at least first and second levels, the first level comprising a start node representing a current state of the storage system, the second level comprising a plurality of proposed nodes, each proposed node representing a proposed state of the storage system produced by a set of actions associated with the proposed state that changes the current state of the storage system to the proposed state, wherein: each proposed state comprises an associated set of storage-system configuration settings, and at least one service level objective (SLO) comprising a target value of a hardware or software attribute of the storage system is specified for each workload; receive new planner information comprising at least one new configuration certification specifying that a set of storage-system configuration settings achieve one or more SLOs for the workloads of the storage system; remove at least one proposed node in the state tree based on the new planner information, the removal to: determine that at least one proposed node from the state tree that represents a proposed state having an associated set of storage-system configuration settings unique to the set of storage-system configuration settings of the at least one received configuration certification. 13. The non-transitory computer readable medium of claim 8 , wherein: a workload comprises an application requesting storage services of the storage system or a storage object stored on the storage system; and the system evaluates the plurality of proposed states upon an SLO for a workload in violation when the target value of a metric specified for the workload is not achieved, a workload is added, removed, or modified in the storage system, or a resource is added, removed, or modified in the storage system. | 0.716696 |
13. A machine-readable medium storing executable instructions, which, when executed in a processing system, cause said processing system to perform a method to facilitate translation of communications between entities over a network, said method comprising: communicating a plurality of predetermined language constructs in a first language to a first entity as a first transmission over said network, the plurality of predetermined language constructs in the first language displayed to the first entity in a first set of one or more interactive fields, each predetermined language construct of the plurality of language constructs in the first language being associated with a predetermined numerical identifier; receiving, from said first entity, an identifier of a second entity; receiving, from said first entity, a first numerical identifier of a first language construct selected by the first entity from said plurality of predetermined language constructs in the first language, the first numerical identifier comprising a numerical indicator of the first language construct and not including the text of the first language construct; responsive to receipt of said first numerical identifier, determining a translated language construct corresponding to said first numerical identifier, said determining further comprises: retrieving entity information relating to said second entity based on the identifier of said second entity; and retrieving said translated language construct from a table based on said entity information and said first numerical identifier of the first language construct; communicating said translated language construct to said second entity as a second transmission over said network; and communicating the plurality of predetermined language constructs in a second language to the second entity in a second set of one or more interactive fields, the second entity to respond to the first entity by selecting a second language construct from the plurality of predetermined language constructs in the second language, each predetermined language construct of the plurality of language constructs in the second language being associated with the predetermined numerical identifier. | 13. A machine-readable medium storing executable instructions, which, when executed in a processing system, cause said processing system to perform a method to facilitate translation of communications between entities over a network, said method comprising: communicating a plurality of predetermined language constructs in a first language to a first entity as a first transmission over said network, the plurality of predetermined language constructs in the first language displayed to the first entity in a first set of one or more interactive fields, each predetermined language construct of the plurality of language constructs in the first language being associated with a predetermined numerical identifier; receiving, from said first entity, an identifier of a second entity; receiving, from said first entity, a first numerical identifier of a first language construct selected by the first entity from said plurality of predetermined language constructs in the first language, the first numerical identifier comprising a numerical indicator of the first language construct and not including the text of the first language construct; responsive to receipt of said first numerical identifier, determining a translated language construct corresponding to said first numerical identifier, said determining further comprises: retrieving entity information relating to said second entity based on the identifier of said second entity; and retrieving said translated language construct from a table based on said entity information and said first numerical identifier of the first language construct; communicating said translated language construct to said second entity as a second transmission over said network; and communicating the plurality of predetermined language constructs in a second language to the second entity in a second set of one or more interactive fields, the second entity to respond to the first entity by selecting a second language construct from the plurality of predetermined language constructs in the second language, each predetermined language construct of the plurality of language constructs in the second language being associated with the predetermined numerical identifier. 17. The machine readable medium according to claim 13 , wherein said second transmission is an electronic mail message. | 0.580917 |
1. A method of horizontally placing a subsequent glyph to a base glyph for rendering to a target device, the method comprising: placing by a computer system the base glyph, wherein the base glyph has a bounding box; vertically placing the subsequent glyph, wherein the subsequent glyph has a bounding box and wherein the subsequent glyph is not on the same baseline as the base glyph; determining by a computer system whether either glyph has predetermined cut-in values, wherein the predetermined cut-in value is not limited to a fixed number of regions or a fixed position in the bounding box; if either glyph has predetermined cut-in values, determining by a computer system a relevant predetermined cut-in value comprising evaluating at least one of: lower-right corner predetermined cut-in values associated with the base glyph, upper-right corner predetermined cut-in values associated with the base glyph, upper-left corner predetermined cut-in values associated with the subsequent glyph, and lower-left corner predetermined cut-in values associated with the subsequent glyph; determining by a computer system a relevant horizontal boundary, wherein the relevant horizontal boundary comprises at least one of: a top boundary of the base glyph, a bottom boundary of the base glyph, a top boundary of the subsequent glyph, and a bottom boundary of the subsequent glyph; and if either glyph has a relevant predetermined cut-in value, applying by a computer system the relevant predetermined cut-in value to horizontally adjust positioning of the subsequent glyph by comparing the relevant predetermined cut-in value with the relevant horizontal boundary. | 1. A method of horizontally placing a subsequent glyph to a base glyph for rendering to a target device, the method comprising: placing by a computer system the base glyph, wherein the base glyph has a bounding box; vertically placing the subsequent glyph, wherein the subsequent glyph has a bounding box and wherein the subsequent glyph is not on the same baseline as the base glyph; determining by a computer system whether either glyph has predetermined cut-in values, wherein the predetermined cut-in value is not limited to a fixed number of regions or a fixed position in the bounding box; if either glyph has predetermined cut-in values, determining by a computer system a relevant predetermined cut-in value comprising evaluating at least one of: lower-right corner predetermined cut-in values associated with the base glyph, upper-right corner predetermined cut-in values associated with the base glyph, upper-left corner predetermined cut-in values associated with the subsequent glyph, and lower-left corner predetermined cut-in values associated with the subsequent glyph; determining by a computer system a relevant horizontal boundary, wherein the relevant horizontal boundary comprises at least one of: a top boundary of the base glyph, a bottom boundary of the base glyph, a top boundary of the subsequent glyph, and a bottom boundary of the subsequent glyph; and if either glyph has a relevant predetermined cut-in value, applying by a computer system the relevant predetermined cut-in value to horizontally adjust positioning of the subsequent glyph by comparing the relevant predetermined cut-in value with the relevant horizontal boundary. 4. The method as defined in claim 1 wherein the act of determining whether either glyph has a relevant predetermined cut-in value comprises: determining the subsequent glyph is a subscript glyph; finding the relevant horizontal boundary for the subsequent glyph, wherein the relevant horizontal boundary is the top of the subsequent glyph bounding box; evaluating one or more lower-right corner predetermined cut-in values associated with the base glyph; and comparing the relevant horizontal boundary to the predetermined cut-in values to determine the relevant predetermined cut-in value. | 0.5 |
1. A method of ranking candidate answers to a natural language question, the method comprising the steps of: a computer identifying first contextual information about a user of a mobile device, the first contextual information including (1) interests of the user based on historical usage of the mobile device by the user to run applications on the mobile device, visit websites via a browser provided by the mobile device, display textual articles on the mobile devices, enter terms into a search engine via the mobile device, and capture multimedia content, (2) a geographic location of the user provided by a global positioning system (GPS) coupled to the mobile device, (3) data specifying characteristics of an environment in proximity to the user, the characteristics of the environment being detected and measured by a first sensor coupled to the mobile device, and (4) data specifying a bodily function of the user, the bodily function being detected and measured by a second sensor coupled to the mobile device; based on the first contextual information, the computer determining a prioritization of definitions of terms; based on the first contextual information and the prioritization of the definitions of the terms, the computer generating a lexicon of the terms; using a forecaster that employs mobile-based time series manipulation and pattern recognition and based on (1) the historical usage of the mobile device by the user to run the applications on the mobile device, visit the websites via the browser provided by the mobile device, display the textual articles on the mobile devices, enter the terms into the search engine via the mobile device, and capture the multimedia content, (2) the geographic location of the user provided by the GPS coupled to the mobile device, (3) the data specifying characteristics of the environment in proximity to the user, and (4) the data specifying the bodily function of the user, the computer forecasting second contextual information that indicates future behavior of the user; based on the forecasted second contextual information, the computer performing word sense disambiguation of the terms in the lexicon and adjusting the prioritization of the definitions of the terms in the lexicon; based on the word sense disambiguation of the terms in the lexicon and the adjusted prioritization of the definitions of the terms, the computer modifying the candidate answers to the natural language question; and based in part on the adjusted prioritization of the definitions of the terms in the lexicon, the modified candidate answers, and the forecasted second contextual information, the computer ranking the modified candidate answers to the natural language question, the highest ranked modified candidate answer being more likely to be a correct answer to the natural language question than the other candidate answers. | 1. A method of ranking candidate answers to a natural language question, the method comprising the steps of: a computer identifying first contextual information about a user of a mobile device, the first contextual information including (1) interests of the user based on historical usage of the mobile device by the user to run applications on the mobile device, visit websites via a browser provided by the mobile device, display textual articles on the mobile devices, enter terms into a search engine via the mobile device, and capture multimedia content, (2) a geographic location of the user provided by a global positioning system (GPS) coupled to the mobile device, (3) data specifying characteristics of an environment in proximity to the user, the characteristics of the environment being detected and measured by a first sensor coupled to the mobile device, and (4) data specifying a bodily function of the user, the bodily function being detected and measured by a second sensor coupled to the mobile device; based on the first contextual information, the computer determining a prioritization of definitions of terms; based on the first contextual information and the prioritization of the definitions of the terms, the computer generating a lexicon of the terms; using a forecaster that employs mobile-based time series manipulation and pattern recognition and based on (1) the historical usage of the mobile device by the user to run the applications on the mobile device, visit the websites via the browser provided by the mobile device, display the textual articles on the mobile devices, enter the terms into the search engine via the mobile device, and capture the multimedia content, (2) the geographic location of the user provided by the GPS coupled to the mobile device, (3) the data specifying characteristics of the environment in proximity to the user, and (4) the data specifying the bodily function of the user, the computer forecasting second contextual information that indicates future behavior of the user; based on the forecasted second contextual information, the computer performing word sense disambiguation of the terms in the lexicon and adjusting the prioritization of the definitions of the terms in the lexicon; based on the word sense disambiguation of the terms in the lexicon and the adjusted prioritization of the definitions of the terms, the computer modifying the candidate answers to the natural language question; and based in part on the adjusted prioritization of the definitions of the terms in the lexicon, the modified candidate answers, and the forecasted second contextual information, the computer ranking the modified candidate answers to the natural language question, the highest ranked modified candidate answer being more likely to be a correct answer to the natural language question than the other candidate answers. 6. The method of claim 1 , further comprising providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable program code in the computer, the program code being executed by a processor of the computer to implement the steps of identifying the first contextual information, determining the prioritization of the definitions of the terms, generating the lexicon, forecasting the second contextual information, performing the word sense disambiguation of the terms in the lexicon, adjusting the prioritization of the definitions of the terms, modifying the candidate answers, and ranking the modified candidate answers. | 0.711362 |
1. A method for testing a vulnerability of a web site, comprising: receiving a first set of addresses; identifying a second set of addresses by analyzing a first set of web pages located at the first set of addresses; identifying a third set of addresses by analyzing a first set of document object models (DOMs) associated with the first set of web pages and associated with a second set of web pages located at the second set of addresses; probing a third set of web pages for presence of a set of vulnerabilities using a document object model (DOM) analysis script to analyze a second set of document object models (DOMs) associated with the third set of web pages as a set of attack vectors is applied to the third set of web pages, wherein the third set of web pages is located at the first, second, and third sets of addresses, and the DOM analysis script is inserted into the third set of web pages; and determining presence of the set of vulnerabilities for the third set of web pages based on a set of results from the probing, wherein the attack vectors are designed to exploit a vulnerability of a web page. | 1. A method for testing a vulnerability of a web site, comprising: receiving a first set of addresses; identifying a second set of addresses by analyzing a first set of web pages located at the first set of addresses; identifying a third set of addresses by analyzing a first set of document object models (DOMs) associated with the first set of web pages and associated with a second set of web pages located at the second set of addresses; probing a third set of web pages for presence of a set of vulnerabilities using a document object model (DOM) analysis script to analyze a second set of document object models (DOMs) associated with the third set of web pages as a set of attack vectors is applied to the third set of web pages, wherein the third set of web pages is located at the first, second, and third sets of addresses, and the DOM analysis script is inserted into the third set of web pages; and determining presence of the set of vulnerabilities for the third set of web pages based on a set of results from the probing, wherein the attack vectors are designed to exploit a vulnerability of a web page. 9. The method of claim 1 , wherein the tested vulnerability comprises a Cross-Site Scripting (XSS) vulnerability. | 0.676526 |
1. A method for selective encryption within a document, said method comprising: detecting a first section of a document, said first section having been selected and marked for encryption; detecting a second section of the document, said second section having been selected and marked for encryption; a processor of a data processing system encrypting the first section with one encryption key; said processor encrypting the second section with two different encryption keys, wherein the first section is not embedded in any other section of the document that has been encrypted and/or marked for encryption and no other section of the document that has been encrypted and/or marked for encryption is embedded in the first section, and wherein the second section is not embedded in any other section of the document that has been encrypted and/or marked for encryption and no other section of the document that has been encrypted and/or marked for encryption is embedded in the second section, said processor receiving an access request to access the encrypted first section of the document; responsive to said receiving the access request, said processor determining that a received decryption key for the encrypted first section of the document is proper for the encrypted first section, by attempting to decrypt the encrypted first section with the received decryption key by determining that a defined character string is in the encrypted first section; responsive to said determining that the received decryption key is proper for the encrypted first section of the document, said processor retrieving and decrypting the encrypted first section of the document for which the access request was made to generate a first decrypted section of the document corresponding to the encrypted first section; and said processor displaying the first decrypted section of the document. | 1. A method for selective encryption within a document, said method comprising: detecting a first section of a document, said first section having been selected and marked for encryption; detecting a second section of the document, said second section having been selected and marked for encryption; a processor of a data processing system encrypting the first section with one encryption key; said processor encrypting the second section with two different encryption keys, wherein the first section is not embedded in any other section of the document that has been encrypted and/or marked for encryption and no other section of the document that has been encrypted and/or marked for encryption is embedded in the first section, and wherein the second section is not embedded in any other section of the document that has been encrypted and/or marked for encryption and no other section of the document that has been encrypted and/or marked for encryption is embedded in the second section, said processor receiving an access request to access the encrypted first section of the document; responsive to said receiving the access request, said processor determining that a received decryption key for the encrypted first section of the document is proper for the encrypted first section, by attempting to decrypt the encrypted first section with the received decryption key by determining that a defined character string is in the encrypted first section; responsive to said determining that the received decryption key is proper for the encrypted first section of the document, said processor retrieving and decrypting the encrypted first section of the document for which the access request was made to generate a first decrypted section of the document corresponding to the encrypted first section; and said processor displaying the first decrypted section of the document. 5. The method of claim 1 , said method further comprising: before said encrypting the first section, adding the defined character string to the first section. | 0.576422 |
12. The method of claim 11 , wherein said recognizing of the type of the target topic comprises: selecting the type of the target topic as one of preset topic types; selecting a core property of the target topic depending on the selected topic type; and searching the topic templates to find related topics to the target topic based on the selected core property and the target topic. | 12. The method of claim 11 , wherein said recognizing of the type of the target topic comprises: selecting the type of the target topic as one of preset topic types; selecting a core property of the target topic depending on the selected topic type; and searching the topic templates to find related topics to the target topic based on the selected core property and the target topic. 14. The method of claim 12 , wherein said selecting of the core property of the target topic comprises selecting the core property by a preset rule or mechanical learning technique. | 0.9248 |
1. A computer-implemented method for changing a first function of one or more navigation controls on a user interface to a second function, wherein the one or more navigation controls are located adjacent to one or more search controls, comprising the steps of: changing a display image of the one or more search controls on the user interface in response to receiving a search term into a search term location; assigning the second function to the one or more navigation controls while simultaneously discontinuing the first function of the one or more navigation controls, wherein the second function comprises navigating between successive hits resulting from a search executed on the received search term, wherein the second function comprises causing the user interface to display at least one of a preceding and a succeeding page of content in an electronic document; changing a display image of the one or more navigation controls on the user interface in response to the assigning of the second function to the one or more navigation controls; and changing the depiction of at least one icon associated with the one or more navigation controls by replacing a first depiction associated with a search result to a second depiction indicating that the one or more navigation controls currently support the second function, the second depiction corresponding to a function for performing, in the electronic document the search. | 1. A computer-implemented method for changing a first function of one or more navigation controls on a user interface to a second function, wherein the one or more navigation controls are located adjacent to one or more search controls, comprising the steps of: changing a display image of the one or more search controls on the user interface in response to receiving a search term into a search term location; assigning the second function to the one or more navigation controls while simultaneously discontinuing the first function of the one or more navigation controls, wherein the second function comprises navigating between successive hits resulting from a search executed on the received search term, wherein the second function comprises causing the user interface to display at least one of a preceding and a succeeding page of content in an electronic document; changing a display image of the one or more navigation controls on the user interface in response to the assigning of the second function to the one or more navigation controls; and changing the depiction of at least one icon associated with the one or more navigation controls by replacing a first depiction associated with a search result to a second depiction indicating that the one or more navigation controls currently support the second function, the second depiction corresponding to a function for performing, in the electronic document the search. 5. The method of claim 1 comprising the additional step of changing a display image of one or more additional controls on the user interface in response to changing the display of the one or more navigation controls, wherein the one or more additional controls are located adjacent to the one or more navigation controls. | 0.6 |
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