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1. A printing system comprising: a sheet media source capable of dispensing individual sheets of media; a sheet media outlet capable of outputting marked sheets of media; a marking unit operatively connected between said sheet media source and said sheet media outlet and adapted to generate marked sheets of media from said individual sheets of media dispensed by said sheet media source; and, an original document imaging system operative to transfer an image of an associated original document to said marking unit for marking on an individual sheet of media, said original document imaging system including: a document transport system capable of transporting an associated original document from a first transport position through an imaging zone to a second transport position with a leading edge of the associated original document disposed upstream of said imaging zone in said first transport position and with a trailing edge of the associated original document disposed downstream of said imaging zone in said second transport position; an image pathway extending from said imaging zone in optical communication with said marking unit; a document guide disposed in operative relation to said document transport system and capable of directing an associated original document toward said imaging zone, said document guide having an elongated length and including a proximal edge extending along said elongated length, a distal edge extending along said elongated length and disposed a first distance from said imaging zone, a plurality of ribs spaced along said elongated length and at least partially forming a plurality of guide surface portions that at least partially define a document transport pathway in communication with said imaging zone, and a root wall extending along said elongated length and disposed between adjacent ones of said plurality of guide surface portions; and, at least one document biasing element including a fixed end secured along said root wall of said document guide and a free end extending from said distal edge of said document guide and adapted to urge the associated original document toward said document transport system until the trailing edge of the associated original document extends beyond said distal edge of said document guide by a second distance from said imaging zone that is less than said first distance. | 1. A printing system comprising: a sheet media source capable of dispensing individual sheets of media; a sheet media outlet capable of outputting marked sheets of media; a marking unit operatively connected between said sheet media source and said sheet media outlet and adapted to generate marked sheets of media from said individual sheets of media dispensed by said sheet media source; and, an original document imaging system operative to transfer an image of an associated original document to said marking unit for marking on an individual sheet of media, said original document imaging system including: a document transport system capable of transporting an associated original document from a first transport position through an imaging zone to a second transport position with a leading edge of the associated original document disposed upstream of said imaging zone in said first transport position and with a trailing edge of the associated original document disposed downstream of said imaging zone in said second transport position; an image pathway extending from said imaging zone in optical communication with said marking unit; a document guide disposed in operative relation to said document transport system and capable of directing an associated original document toward said imaging zone, said document guide having an elongated length and including a proximal edge extending along said elongated length, a distal edge extending along said elongated length and disposed a first distance from said imaging zone, a plurality of ribs spaced along said elongated length and at least partially forming a plurality of guide surface portions that at least partially define a document transport pathway in communication with said imaging zone, and a root wall extending along said elongated length and disposed between adjacent ones of said plurality of guide surface portions; and, at least one document biasing element including a fixed end secured along said root wall of said document guide and a free end extending from said distal edge of said document guide and adapted to urge the associated original document toward said document transport system until the trailing edge of the associated original document extends beyond said distal edge of said document guide by a second distance from said imaging zone that is less than said first distance. 2. A printing system according to claim 1 , wherein said at least one document biasing element is one document biasing element of a plurality of document biasing elements disposed along said elongated length of said document guide. | 0.564399 |
11. One or more storage media storing instructions which, when executed by one or more processors at one or more computing devices, cause: while displaying on an output device a visual presentation of a document that is receiving edits, receiving input requesting a screenshot; in response to the input requesting the screenshot, generating an image based on the visual presentation; further in response to the input requesting the screenshot, creating a reference draft of the document in association with the screenshot, wherein the reference draft is stored at a new location that is different than an original location from which the document was initially opened for editing; identifying a location at which the document that is receiving edits is stored, wherein the identified location is the new location of the reference draft; further in response to the input requesting the screenshot, generating a link to the document, the link specifying the identified location; and further in response to the input requesting the screenshot, placing the image and the link in a buffer that is shared with a plurality of applications executing at a computing device. | 11. One or more storage media storing instructions which, when executed by one or more processors at one or more computing devices, cause: while displaying on an output device a visual presentation of a document that is receiving edits, receiving input requesting a screenshot; in response to the input requesting the screenshot, generating an image based on the visual presentation; further in response to the input requesting the screenshot, creating a reference draft of the document in association with the screenshot, wherein the reference draft is stored at a new location that is different than an original location from which the document was initially opened for editing; identifying a location at which the document that is receiving edits is stored, wherein the identified location is the new location of the reference draft; further in response to the input requesting the screenshot, generating a link to the document, the link specifying the identified location; and further in response to the input requesting the screenshot, placing the image and the link in a buffer that is shared with a plurality of applications executing at a computing device. 15. The one or more storage media of claim 11 , wherein the identified location is a unique location from which the document may be edited. | 0.647883 |
1. A computer implemented method, comprising: reading an electronic document, the electronic document comprising content rules, an existing signed state, and existing content items; authenticating the electronic document one or more times, each authenticating comprising: classifying the existing content items of the electronic document into existing invariant content items and existing modifiable content items according to the content rules; receiving one or more user actions for one or more of the existing content items; determining whether the one or more user actions are permitted by the content rules; reclassifying one or more existing modifiable content items into new invariant content items in response to the one or more user actions; generating an object digest for an aggregation of the existing invariant content items and the new invariant content items by digesting the existing invariant content items and the new invariant content items, wherein the aggregation includes a simple content item, a semi-complex content item and a complex content item, the object digest is generated according to their complexity and generating the object digest includes ignoring one or more existing modifiable content items in the electronic document that are not reclassified into new invariant content items; generating a saved state of the electronic document; and adding a new signed state to the electronic document, the new signed state comprising the object digest, the saved state, and an electronic signature wherein generating an object digest is preformed by a processor of an electronic document reader. | 1. A computer implemented method, comprising: reading an electronic document, the electronic document comprising content rules, an existing signed state, and existing content items; authenticating the electronic document one or more times, each authenticating comprising: classifying the existing content items of the electronic document into existing invariant content items and existing modifiable content items according to the content rules; receiving one or more user actions for one or more of the existing content items; determining whether the one or more user actions are permitted by the content rules; reclassifying one or more existing modifiable content items into new invariant content items in response to the one or more user actions; generating an object digest for an aggregation of the existing invariant content items and the new invariant content items by digesting the existing invariant content items and the new invariant content items, wherein the aggregation includes a simple content item, a semi-complex content item and a complex content item, the object digest is generated according to their complexity and generating the object digest includes ignoring one or more existing modifiable content items in the electronic document that are not reclassified into new invariant content items; generating a saved state of the electronic document; and adding a new signed state to the electronic document, the new signed state comprising the object digest, the saved state, and an electronic signature wherein generating an object digest is preformed by a processor of an electronic document reader. 8. The method of claim 1 , wherein the user actions are one or more of the following: entering data into predefined fields of the electronic document or annotating the electronic document. | 0.636015 |
12. The computer program product of claim 11 , further comprising: computer readable code means executable by a processor for dividing the data space into plural cells; and computer readable code means executable by a processor for representing each approximation in polar coordinates with respect to one of the cells. | 12. The computer program product of claim 11 , further comprising: computer readable code means executable by a processor for dividing the data space into plural cells; and computer readable code means executable by a processor for representing each approximation in polar coordinates with respect to one of the cells. 13. The computer program product of claim 12 , wherein the data space has “d” dimensions, further comprising: computer readable code means executable by a processor for determining a number of “b” bits to be assigned to each cell; and computer readable code means executable by a processor for dividing the data space into 2 bd cells. | 0.746719 |
1. A method of identifying content of interest in a structured electronic document by an electronic device having a processor, an input device, and a display device, the method comprising: obtaining, by the processor, a structured electronic document from an originating web server; rendering the structured electronic document to the display device; receiving through the input device at least two separate indications of content elements within the rendered structured electronic document; identifying with the processor a common characteristic of the indicated content elements; and identifying any further content element within the rendered structured electronic document sharing the common characteristic with the indicated content elements, wherein the input device comprises a pointing device and wherein receiving the at least two separate indications of content elements comprises receiving each indication from the pointing device when applied at a displayed location of a content element in the rendered structured electronic document. | 1. A method of identifying content of interest in a structured electronic document by an electronic device having a processor, an input device, and a display device, the method comprising: obtaining, by the processor, a structured electronic document from an originating web server; rendering the structured electronic document to the display device; receiving through the input device at least two separate indications of content elements within the rendered structured electronic document; identifying with the processor a common characteristic of the indicated content elements; and identifying any further content element within the rendered structured electronic document sharing the common characteristic with the indicated content elements, wherein the input device comprises a pointing device and wherein receiving the at least two separate indications of content elements comprises receiving each indication from the pointing device when applied at a displayed location of a content element in the rendered structured electronic document. 6. The method of claim 1 , wherein receiving at least two separate indications of content elements further comprises offering a choice to indicate a content element from a plurality of coincident content elements. | 0.565681 |
15. The method of claim 14 , wherein the bookmark repository comprises a hierarchical structure of bookmarks comprising folders. | 15. The method of claim 14 , wherein the bookmark repository comprises a hierarchical structure of bookmarks comprising folders. 16. The method of claim 15 , wherein the second browser is configured to render menus based on the hierarchical structure. | 0.959336 |
29. A method of applying effects to a number of computer-generated characters, the method comprising: defining an effect for a first character and a second character; displaying, on a display device of a computer, a commencement of an application of the effect to the first character; and after a time delay from the commencement of the application of the effect to the first character, displaying, on the display device of the computer, a commencement of an application of the effect to the second character, wherein the time delay is based on a threshold value that is representative of a completion percentage of the application of the effect to the first character, wherein the completion percentage is less than a hundred percent. | 29. A method of applying effects to a number of computer-generated characters, the method comprising: defining an effect for a first character and a second character; displaying, on a display device of a computer, a commencement of an application of the effect to the first character; and after a time delay from the commencement of the application of the effect to the first character, displaying, on the display device of the computer, a commencement of an application of the effect to the second character, wherein the time delay is based on a threshold value that is representative of a completion percentage of the application of the effect to the first character, wherein the completion percentage is less than a hundred percent. 30. The method of claim 29 , wherein the application of the effect to a particular character comprises displaying a movement of the particular character. | 0.70817 |
1. A computer-implemented method comprising: obtaining search results for a search query, each search result referencing a respective webpage resource, the respective resources including a first webpage resource and a second webpage resource, and each of the webpage resources being different from each other resource; for each webpage resource referenced by the search results obtained: identifying, within the webpage resource, structured data; identifying, for the webpage resource, a topic of the webpage resource; determining, from the structured data within the webpage resource, textual values included in the structured data and, for each textual value, an associated property value; wherein multiple topics are identified for the webpage resources; determining a textual value as a consistent value based on a number of different webpage resources that each have a matching topic and that include structured data having an identical textual value and an identical associated property value determined from the structured data, wherein the number of different webpage resources is exclusive of the webpage resources referenced by the search results that do not have a topic that matches the matching topic; and in response to determining a consistent value, providing (i) a representation of the consistent value as a possible answer to the search query, and (ii) the search results. | 1. A computer-implemented method comprising: obtaining search results for a search query, each search result referencing a respective webpage resource, the respective resources including a first webpage resource and a second webpage resource, and each of the webpage resources being different from each other resource; for each webpage resource referenced by the search results obtained: identifying, within the webpage resource, structured data; identifying, for the webpage resource, a topic of the webpage resource; determining, from the structured data within the webpage resource, textual values included in the structured data and, for each textual value, an associated property value; wherein multiple topics are identified for the webpage resources; determining a textual value as a consistent value based on a number of different webpage resources that each have a matching topic and that include structured data having an identical textual value and an identical associated property value determined from the structured data, wherein the number of different webpage resources is exclusive of the webpage resources referenced by the search results that do not have a topic that matches the matching topic; and in response to determining a consistent value, providing (i) a representation of the consistent value as a possible answer to the search query, and (ii) the search results. 4. The method of claim 1 , wherein providing (i) a representation of the consistent value as a possible answer to the search query, and (ii) the search results comprises: generating a snippet from the value of the particular property as indicated by a first resource according to a template corresponding to a type of structured data; providing the generated snippet; and providing a link to the first resource. | 0.581301 |
2. The server system of claim 1 , wherein the rules engine is configured to perform a comparative evaluation of the form selection rules using a test set, wherein the test set is a second subset of the set of form usage data. | 2. The server system of claim 1 , wherein the rules engine is configured to perform a comparative evaluation of the form selection rules using a test set, wherein the test set is a second subset of the set of form usage data. 3. The server system of claim 2 wherein the rules engine is configured to assign a reliability rating to each of the form selection rules based on the comparative evaluation of the form selection rules. | 0.918337 |
26. A method for testing speech intelligibility, comprising the steps of: producing a plurality of stimulus words with a sound device to be heard by a test subject, each of said plurality of stimulus words comprising a plurality of speech sounds; displaying to said test subject a set of selectable word pairs corresponding to a set of contrasting speech sounds whenever a stimulus word is transmitted to said test subject, a first word of said word pair corresponding to said stimulus word, and a second word of said word pair differing from said first word by at least one of said set of contrasting speech sounds, each said word comprising a real word with a high degree of familiarity; and selecting, by said test subject, either word of said word pair upon deciding which of said two words was heard. | 26. A method for testing speech intelligibility, comprising the steps of: producing a plurality of stimulus words with a sound device to be heard by a test subject, each of said plurality of stimulus words comprising a plurality of speech sounds; displaying to said test subject a set of selectable word pairs corresponding to a set of contrasting speech sounds whenever a stimulus word is transmitted to said test subject, a first word of said word pair corresponding to said stimulus word, and a second word of said word pair differing from said first word by at least one of said set of contrasting speech sounds, each said word comprising a real word with a high degree of familiarity; and selecting, by said test subject, either word of said word pair upon deciding which of said two words was heard. 27. The method of claim 26, wherein said set of words has an average word familiarity of not less than 4.00. | 0.705904 |
2. The information processing system according to claim 1 , the circuitry further configured to in the outputting, output information indicating that the actions expressed by the action expressions are abnormal actions in the environments expressed by the environment expressions. | 2. The information processing system according to claim 1 , the circuitry further configured to in the outputting, output information indicating that the actions expressed by the action expressions are abnormal actions in the environments expressed by the environment expressions. 6. The information processing system according to claim 2 , the circuitry further configured to associate an action expression with an environment expression extracted from the same sentence included in the incident information. | 0.924744 |
1. A method for converting a text sentence into an image sentence, the method comprising: receiving a text sentence comprising a plurality of text words, the plurality of text words including at least one verb phrase; identifying at least one semantic role associated with the at least one verb phrase; querying an image database for a single image associated with information matching at least one semantic role, the querying including generating a first feature vector of first candidate images in the image database and comparing the first feature vector to the at least one semantic role associated with the at least one verb phrase; responsive to determining that no single image is associated with information matching the semantic role, splitting the text sentence into a first sentence fragment and a second sentence fragment, each of the first sentence fragment and the second sentence fragment associated with at least one semantic role; and querying the image database for a first image associated with information matching the at least one semantic role of the first sentence fragment and a second image associated with information matching the at least one semantic role of the second sentence fragment, the querying including generating a second feature vector for second candidate images and comparing the second feature vector to the at least one semantic roles of the first sentence fragment and the second sentence fragment. | 1. A method for converting a text sentence into an image sentence, the method comprising: receiving a text sentence comprising a plurality of text words, the plurality of text words including at least one verb phrase; identifying at least one semantic role associated with the at least one verb phrase; querying an image database for a single image associated with information matching at least one semantic role, the querying including generating a first feature vector of first candidate images in the image database and comparing the first feature vector to the at least one semantic role associated with the at least one verb phrase; responsive to determining that no single image is associated with information matching the semantic role, splitting the text sentence into a first sentence fragment and a second sentence fragment, each of the first sentence fragment and the second sentence fragment associated with at least one semantic role; and querying the image database for a first image associated with information matching the at least one semantic role of the first sentence fragment and a second image associated with information matching the at least one semantic role of the second sentence fragment, the querying including generating a second feature vector for second candidate images and comparing the second feature vector to the at least one semantic roles of the first sentence fragment and the second sentence fragment. 3. The method of claim 1 , further comprising presenting the first image and the second image as an image sentence corresponding to the text sentence. | 0.668337 |
7. The method of claim 6 , wherein the data structure is stored in random access memory of a cluster computing framework configured to process data within the data structure in at least near real-time. | 7. The method of claim 6 , wherein the data structure is stored in random access memory of a cluster computing framework configured to process data within the data structure in at least near real-time. 9. The method of claim 7 , wherein the first data stream and the second data stream are segmented by local customers and non-local customers by comparing a home address of a consuming entity with the first set of data or the second set of data. | 0.926848 |
1. A computer-implemented method comprising: determining a collection of named entity terms within a data store coupled to a computer of a user, a named entity term having an associated weight indicating a likelihood that the named entity term is included is a named entity; identifying an event comprising a user interaction with an article on the computer; identifying a plurality of named entity terms associated with the event; identifying, from the collection the weight associated with each of the plurality of named entity terms; responsive to identifying the weight associated with each of the plurality of named entity terms, automatically creating an implicit search query based at least in part on the plurality of named entity terms and the associated weights, the implicit search query based on a first named entity term with an associated weight indicating a higher likelihood that the first named entity term is a named entity more than on a second named entity term with an associated weight indicating a lower likelihood that the second named entity term is a named entity; generating, from the computer, a plurality of search results relevant to the implicit search query; and providing for display the generated plurality of search results. | 1. A computer-implemented method comprising: determining a collection of named entity terms within a data store coupled to a computer of a user, a named entity term having an associated weight indicating a likelihood that the named entity term is included is a named entity; identifying an event comprising a user interaction with an article on the computer; identifying a plurality of named entity terms associated with the event; identifying, from the collection the weight associated with each of the plurality of named entity terms; responsive to identifying the weight associated with each of the plurality of named entity terms, automatically creating an implicit search query based at least in part on the plurality of named entity terms and the associated weights, the implicit search query based on a first named entity term with an associated weight indicating a higher likelihood that the first named entity term is a named entity more than on a second named entity term with an associated weight indicating a lower likelihood that the second named entity term is a named entity; generating, from the computer, a plurality of search results relevant to the implicit search query; and providing for display the generated plurality of search results. 39. The method of claim 1 , wherein the named entity term is included in an email address that is represented by the named entity. | 0.613579 |
1. A voice recognition system for a vehicle, comprising: a microphone for receiving speech from a user; a memory comprising a user specific voice recognition setting database associating at each of a plurality of users with a first set of user-specific commands or names for voice recognition and a second set of user-specific commands or names for voice recognition including at least one command or at least one name not included in the first set; and processing electronics in communication with the microphone and the memory, wherein the processing electronics are configured to: identify the user; process the received speech to obtain speech data; conduct a first speech recognition pass, the first speech recognition pass comprising: comparing the speech data to the first set associated with the identified user to obtain a first proposed match and a first confidence of the comparison between the speech data and the first set; and determining the first proposed match to be a first match if the first confidence exceeds a first level of confidence; in response to the first match not being determined, conduct a second speech recognition pass, the second speech recognition pass comprising: comparing the speech data to the second set associated with the identified user to obtain a second proposed match and a second confidence of the comparison based on the comparison between the speech data and the second set; and determining the second proposed match to be a second match if the second confidence exceeds a second level of confidence. | 1. A voice recognition system for a vehicle, comprising: a microphone for receiving speech from a user; a memory comprising a user specific voice recognition setting database associating at each of a plurality of users with a first set of user-specific commands or names for voice recognition and a second set of user-specific commands or names for voice recognition including at least one command or at least one name not included in the first set; and processing electronics in communication with the microphone and the memory, wherein the processing electronics are configured to: identify the user; process the received speech to obtain speech data; conduct a first speech recognition pass, the first speech recognition pass comprising: comparing the speech data to the first set associated with the identified user to obtain a first proposed match and a first confidence of the comparison between the speech data and the first set; and determining the first proposed match to be a first match if the first confidence exceeds a first level of confidence; in response to the first match not being determined, conduct a second speech recognition pass, the second speech recognition pass comprising: comparing the speech data to the second set associated with the identified user to obtain a second proposed match and a second confidence of the comparison based on the comparison between the speech data and the second set; and determining the second proposed match to be a second match if the second confidence exceeds a second level of confidence. 9. The voice recognition system of claim 1 , wherein the processing electronics are further configured to update the first set of commands or names for voice recognition in the first pass as the frequency of use changes for the commands or names. | 0.536224 |
11. A language learning method, for assessing a pronunciation in a learning sentence, the language learning method comprising: collecting a plurality of training data; extracting at least one pronunciation feature of each of the training data, wherein the training data has at least one grade mark; generating at least one assessment decision tree according to the pronunciation features and the grade marks of the training data, wherein the assessment decision tree has a plurality of decision paths, each of the decision paths comprises a plurality of decision nodes, and the decision paths and the decision nodes on the assessment decision tree represent a specific type of pronunciations having a plurality of predefined types of tones; analyzing each of the decision paths of the assessment decision tree according to the pronunciation features corresponding to the decision nodes on each of the decision path to identify incorrect pronunciation types represented by the decision nodes and setting feedback information corresponding to the decision path according to the incorrect pronunciation types represented by the decision nodes; extracting at least one pronunciation feature of the pronunciation; determining a diagnosis path corresponding to the pronunciation among the decision paths of the assessment decision tree according to the pronunciation feature of the pronunciation; and outputting the feedback information corresponding to the diagnosis path to correct at least one incorrect pronunciation in the learning sentence. | 11. A language learning method, for assessing a pronunciation in a learning sentence, the language learning method comprising: collecting a plurality of training data; extracting at least one pronunciation feature of each of the training data, wherein the training data has at least one grade mark; generating at least one assessment decision tree according to the pronunciation features and the grade marks of the training data, wherein the assessment decision tree has a plurality of decision paths, each of the decision paths comprises a plurality of decision nodes, and the decision paths and the decision nodes on the assessment decision tree represent a specific type of pronunciations having a plurality of predefined types of tones; analyzing each of the decision paths of the assessment decision tree according to the pronunciation features corresponding to the decision nodes on each of the decision path to identify incorrect pronunciation types represented by the decision nodes and setting feedback information corresponding to the decision path according to the incorrect pronunciation types represented by the decision nodes; extracting at least one pronunciation feature of the pronunciation; determining a diagnosis path corresponding to the pronunciation among the decision paths of the assessment decision tree according to the pronunciation feature of the pronunciation; and outputting the feedback information corresponding to the diagnosis path to correct at least one incorrect pronunciation in the learning sentence. 12. The language learning method according to claim 11 , wherein the step of extracting the pronunciation feature of each of the training data comprises: collecting a plurality of training sentences; performing a phonetic segmentation operation on the training sentences to obtain a plurality of pronunciation units of the training sentences; and obtaining the training data from the pronunciation units. | 0.632745 |
23. The method as recited in claim 21 , further comprising determining the financial document is a preferred form of payment for the financial transaction based on the predetermined ranking criteria. | 23. The method as recited in claim 21 , further comprising determining the financial document is a preferred form of payment for the financial transaction based on the predetermined ranking criteria. 24. The method as recited in claim 23 , further comprising suggesting the preferred form of payment to the user via a display of a mobile device; receiving user input relating to the suggestion, and either: designating the preferred form of payment for the financial transaction in response to the user input confirming the suggestion; or designating another form of payment for the financial transaction in response to the user input negating the suggestion. | 0.943112 |
5. The method as recited in claim 1 further comprising: providing said user an option to generate a product review on said product or said service; and receiving said generated product review from said user. | 5. The method as recited in claim 1 further comprising: providing said user an option to generate a product review on said product or said service; and receiving said generated product review from said user. 6. The method as recited in claim 5 further comprising: posting said received generated product review to a second website of said user's choice. | 0.960305 |
1. A system for providing mathematical modeling in an object-oriented software environment, comprising: a processor operable to execute instructions contained in computer program code; and at least one computer readable medium including instructions in an object-oriented programming language that, when executed by the processor, cause the processor to: provide at least one library including a model class that when instantiated as a model object provides an interface allowing user interaction with a mathematical programming model, the mathematical programming model configured for generating a solution for a mathematical decision making problem; generate a numerical model, based on instance data associated with one or more parameters and one or more index sets of the mathematical programming model; solve the mathematical programming model using a selected solver running in the object-oriented programming language; and output a result of the solving process, wherein the model class instantiated as a user interface object comprises a set of methods to allow a user to add/remove mathematical expressions, constraints, or objective functions to/from the mathematical programming model, pass the instance data to a selected solver for solving the mathematical programming model, solve the numerical model through the solver and return the solution, and update the mathematical programming model with at least one incremental change to be passed to the selected solver. | 1. A system for providing mathematical modeling in an object-oriented software environment, comprising: a processor operable to execute instructions contained in computer program code; and at least one computer readable medium including instructions in an object-oriented programming language that, when executed by the processor, cause the processor to: provide at least one library including a model class that when instantiated as a model object provides an interface allowing user interaction with a mathematical programming model, the mathematical programming model configured for generating a solution for a mathematical decision making problem; generate a numerical model, based on instance data associated with one or more parameters and one or more index sets of the mathematical programming model; solve the mathematical programming model using a selected solver running in the object-oriented programming language; and output a result of the solving process, wherein the model class instantiated as a user interface object comprises a set of methods to allow a user to add/remove mathematical expressions, constraints, or objective functions to/from the mathematical programming model, pass the instance data to a selected solver for solving the mathematical programming model, solve the numerical model through the solver and return the solution, and update the mathematical programming model with at least one incremental change to be passed to the selected solver. 6. The system of claim 1 , further comprising program code for distinguishing whether an index set of an index set object is part of an initial building state or part of an incremental change state, and if the index set is part of the incremental change state, keeping track of incremental changes made to the index set. | 0.805218 |
14. A system for generating an expanded ontology from an ontology, the system comprising: a processor; and a computer-readable medium having stored thereon: a lexical database that stores a plurality of elements in one or more sense sets, each element including a term sense; and a disambiguation component executable by the processor to expand the ontology using the one or more sense sets in the lexical database to generate the expanded ontology, wherein the disambiguation component determines a context for each term sense in the ontology and determines a relatedness score between each term sense in the ontology and each of the elements in the one or more sense sets, wherein the disambiguation module generates the expanded ontology by adding elements in the one or more sense sets having relatedness scores that exceed a threshold relatedness score to the ontology. | 14. A system for generating an expanded ontology from an ontology, the system comprising: a processor; and a computer-readable medium having stored thereon: a lexical database that stores a plurality of elements in one or more sense sets, each element including a term sense; and a disambiguation component executable by the processor to expand the ontology using the one or more sense sets in the lexical database to generate the expanded ontology, wherein the disambiguation component determines a context for each term sense in the ontology and determines a relatedness score between each term sense in the ontology and each of the elements in the one or more sense sets, wherein the disambiguation module generates the expanded ontology by adding elements in the one or more sense sets having relatedness scores that exceed a threshold relatedness score to the ontology. 17. The system of claim 14 , wherein the disambiguation component is executable by the processor to add each element having a relatedness score that exceeds the threshold relatedness score as one of a superclass, a subclass, or an equivalent class. | 0.595038 |
4. A computer-implemented method for navigating an electronic document on a terminal, comprising: displaying a page of a section of the electronic document on a touch screen of the terminal; defining, on the touch screen, at least a first region, a second region, and a third region; in response to detecting a tap gesture on the first region, displaying a slider on a slide bar on the touch screen, the slide bar including an expanded part corresponding to the displayed section of the electronic document, the expanded part being disproportionately larger than other parts of the slide bar corresponding to other sections of the electronic document, the slide bar displayed without displaying divisions between the expanded part and the other parts of the slide bar; detecting a drag gesture to move the slider on the slide bar; displaying, by a processor of the terminal, another page of the electronic document on the touch screen based on the drag gesture; displaying a next page of the electronic document after detecting the tap gesture on the second region; and displaying a previous page of the electronic document after detecting the tap gesture on the third region. | 4. A computer-implemented method for navigating an electronic document on a terminal, comprising: displaying a page of a section of the electronic document on a touch screen of the terminal; defining, on the touch screen, at least a first region, a second region, and a third region; in response to detecting a tap gesture on the first region, displaying a slider on a slide bar on the touch screen, the slide bar including an expanded part corresponding to the displayed section of the electronic document, the expanded part being disproportionately larger than other parts of the slide bar corresponding to other sections of the electronic document, the slide bar displayed without displaying divisions between the expanded part and the other parts of the slide bar; detecting a drag gesture to move the slider on the slide bar; displaying, by a processor of the terminal, another page of the electronic document on the touch screen based on the drag gesture; displaying a next page of the electronic document after detecting the tap gesture on the second region; and displaying a previous page of the electronic document after detecting the tap gesture on the third region. 7. The computer-implemented method of claim 4 , further comprising: displaying a page number and a section number on the touch screen, the page number corresponding to the displayed page, the section number corresponding to the displayed section. | 0.76959 |
14. An article comprising: a storage medium having a plurality of machine accessible instructions, wherein when the instructions are executed by a processor, the instructions provide for: a) parsing an entry in an email addressee field; b) determining whether the entry includes a predefined notation appended to the entry, wherein the predefined notation includes a direction of traversal and a level of traversal; and c) if the entry has a predefined notation appended to the entry, traversing a hierarchy structure from a name in the entry to a designated level of the hierarchy structure based on the direction and level of traversal indicated in the predefined notation; retrieving email addresses of names listed at the designated level; and replacing the entry in the email addressee field with the email addresses retrieved from the designated level of the hierarchy structure; wherein the predefined notation defines a relationship between the names at the designated level and the name included in the entry, the predefined notation including a special character indicating if the designated level is a higher or lower level than a level of the name in the entry, and a level indicator indicating a number of levels between the designated level and the level of the name in the entry. | 14. An article comprising: a storage medium having a plurality of machine accessible instructions, wherein when the instructions are executed by a processor, the instructions provide for: a) parsing an entry in an email addressee field; b) determining whether the entry includes a predefined notation appended to the entry, wherein the predefined notation includes a direction of traversal and a level of traversal; and c) if the entry has a predefined notation appended to the entry, traversing a hierarchy structure from a name in the entry to a designated level of the hierarchy structure based on the direction and level of traversal indicated in the predefined notation; retrieving email addresses of names listed at the designated level; and replacing the entry in the email addressee field with the email addresses retrieved from the designated level of the hierarchy structure; wherein the predefined notation defines a relationship between the names at the designated level and the name included in the entry, the predefined notation including a special character indicating if the designated level is a higher or lower level than a level of the name in the entry, and a level indicator indicating a number of levels between the designated level and the level of the name in the entry. 16. The article of claim 14 , further comprising instructions for sending an email to all email addresses listed in the email addressee field. | 0.539322 |
1. In a computing environment, a computer-implemented system for composing computer-displayable graphics, the system comprising: a high-level compositing and animation engine and a low-level engine, the high-level engine being instantiated on a per-application basis and the low-level engine servicing requests from multiple applications; a markup language, the markup language comprising graphics instructions, the graphics instructions comprising a string format and an object notation, the object notation comprising graphics elements from a graphics element class; a graphics object model comprising: a base class visual object which is a container for graphical content, which provides base functionality for other visual types and from which other visual types derive, a container visual object which is a container for visuals and which may contain other container visual objects, a drawing visual object which is a container for graphical content, and a graphics element class, the element class comprising a shape class, an image class, a video class, and a canvas class, and the element class being integrated with a general property system; a type converter, the type converter configured to convert a graphics instruction in string format to a visual application programming interface (API) object; a parser/translator, the parser/translator configured to a) interpret graphics instructions, the graphics instructions comprising direct code calls, object model code calls, and graphics instructions written using the markup language, b) access the type converter, the type converter configured to convert a graphics instruction in string format to a visual API object, and c) interpret the markup code and, upon interpreting the markup code, add elements of the graphics elements class to an element tree; a presenter system, the presenter system configured to translate graphics element trees into calls to a visual API; a visual API, the visual API configured to a) interface with the presenter system, interface with the parser/translator, and interface with direct code calls from programming languages, and b) in response to requests from the presenter system, the parser/translator, creates scene objects within a scene graph; and a display interface operable to facilitate display of the graphics objects within the scene graph. | 1. In a computing environment, a computer-implemented system for composing computer-displayable graphics, the system comprising: a high-level compositing and animation engine and a low-level engine, the high-level engine being instantiated on a per-application basis and the low-level engine servicing requests from multiple applications; a markup language, the markup language comprising graphics instructions, the graphics instructions comprising a string format and an object notation, the object notation comprising graphics elements from a graphics element class; a graphics object model comprising: a base class visual object which is a container for graphical content, which provides base functionality for other visual types and from which other visual types derive, a container visual object which is a container for visuals and which may contain other container visual objects, a drawing visual object which is a container for graphical content, and a graphics element class, the element class comprising a shape class, an image class, a video class, and a canvas class, and the element class being integrated with a general property system; a type converter, the type converter configured to convert a graphics instruction in string format to a visual application programming interface (API) object; a parser/translator, the parser/translator configured to a) interpret graphics instructions, the graphics instructions comprising direct code calls, object model code calls, and graphics instructions written using the markup language, b) access the type converter, the type converter configured to convert a graphics instruction in string format to a visual API object, and c) interpret the markup code and, upon interpreting the markup code, add elements of the graphics elements class to an element tree; a presenter system, the presenter system configured to translate graphics element trees into calls to a visual API; a visual API, the visual API configured to a) interface with the presenter system, interface with the parser/translator, and interface with direct code calls from programming languages, and b) in response to requests from the presenter system, the parser/translator, creates scene objects within a scene graph; and a display interface operable to facilitate display of the graphics objects within the scene graph. 21. The system of claim 1 wherein one of the graphics elements includes stroke property data. | 0.52535 |
1. A method, comprising: receiving at least one search term from a user; automatically determining additional search terms related to the at least one search term at least in part by performing a probability calculation determining a relevance of the additional search terms to the at least one search term using a Simple Bayes probability model developed from analysis of at least one known document, wherein the analysis involves generating a plurality of overlapping vectors corresponding to a plurality of windows centered on a plurality of respective words of the at least one known document by counting a number of occurrences of the plurality of respective words within each window, wherein each respective word on which a window is centered is excluded from a vector generated corresponding to the window, and wherein the probability calculation is performed using at least one processor; and providing at least one of the additional search terms to the user. | 1. A method, comprising: receiving at least one search term from a user; automatically determining additional search terms related to the at least one search term at least in part by performing a probability calculation determining a relevance of the additional search terms to the at least one search term using a Simple Bayes probability model developed from analysis of at least one known document, wherein the analysis involves generating a plurality of overlapping vectors corresponding to a plurality of windows centered on a plurality of respective words of the at least one known document by counting a number of occurrences of the plurality of respective words within each window, wherein each respective word on which a window is centered is excluded from a vector generated corresponding to the window, and wherein the probability calculation is performed using at least one processor; and providing at least one of the additional search terms to the user. 2. The method of claim 1 , further comprising providing the user a list of documents automatically determined to be relevant to the at least one search term, the list comprising the at least one known document. | 0.606184 |
1. An Advanced Function Presentation (AFP) system configured to generate an AFP document for output, the system comprising: an AFP application generator configured to add an AFP component to the AFP document, and to identify a meta-data object (MDO) for the AFP component; wherein the AFP application generator is further configured to insert a Map Data Resource (MDR) structured field corresponding to the AFP component into the AFP document, wherein the MDR specifies the name of the MDO associating the MDO with a specified scope of objects in the AFP component and further includes a processing mode field indicating whether the MDO is descriptive and does not affect the presentation of the AFP component on an output device or indicating whether the MDO is operational and does affect the presentation of the AFP component on the output device; and an output device configured to determine that the processing mode field, wherein if the MDO is descriptive, then the MDO is ignored, and if the MDO is operational, then at least one of the following is performed: masking a presentation of the AFP component; eliminating a presentation of the AFP component; and partially presenting the AFP component on the output device based on the determination. | 1. An Advanced Function Presentation (AFP) system configured to generate an AFP document for output, the system comprising: an AFP application generator configured to add an AFP component to the AFP document, and to identify a meta-data object (MDO) for the AFP component; wherein the AFP application generator is further configured to insert a Map Data Resource (MDR) structured field corresponding to the AFP component into the AFP document, wherein the MDR specifies the name of the MDO associating the MDO with a specified scope of objects in the AFP component and further includes a processing mode field indicating whether the MDO is descriptive and does not affect the presentation of the AFP component on an output device or indicating whether the MDO is operational and does affect the presentation of the AFP component on the output device; and an output device configured to determine that the processing mode field, wherein if the MDO is descriptive, then the MDO is ignored, and if the MDO is operational, then at least one of the following is performed: masking a presentation of the AFP component; eliminating a presentation of the AFP component; and partially presenting the AFP component on the output device based on the determination. 7. The AFP system of claim 1 wherein the output device is further configured to partially present the AFP component on the output device based on the determination. | 0.757353 |
16. A computer program product comprising electronic transcript and exhibit files, wherein the computer program product comprises a computer readable medium that stores: an importing module configured to import one or more electronic transcript files and one or more electronic exhibit files; an association module configured to establish an operable electronic link between the one or more electronic exhibit files and one or more entries in the one or more electronic transcript files that are associated with the one or more electronic exhibit files; and a bundle that comprises the one or more electronic transcript files, the one or more electronic exhibit files, the operable electronic link, and an executable viewer module configured to: provide the one or more electronic transcript files in the bundle; and provide the one or more electronic exhibit files in the bundle in response to an input activating the operable electronic link via the one or more entries in the one or more provided electronic transcript files, the computer readable medium comprising a portable device. | 16. A computer program product comprising electronic transcript and exhibit files, wherein the computer program product comprises a computer readable medium that stores: an importing module configured to import one or more electronic transcript files and one or more electronic exhibit files; an association module configured to establish an operable electronic link between the one or more electronic exhibit files and one or more entries in the one or more electronic transcript files that are associated with the one or more electronic exhibit files; and a bundle that comprises the one or more electronic transcript files, the one or more electronic exhibit files, the operable electronic link, and an executable viewer module configured to: provide the one or more electronic transcript files in the bundle; and provide the one or more electronic exhibit files in the bundle in response to an input activating the operable electronic link via the one or more entries in the one or more provided electronic transcript files, the computer readable medium comprising a portable device. 18. The computer program product of claim 16 , wherein the computer readable medium comprises a magnetic disk, an optical disk, a tape, a removable hard disk, a CD-ROM disk, or a DVD disk. | 0.717987 |
1. A method for providing a summary of a plurality of images, the method comprising the acts of: dividing by a processor the plurality of images into a plurality of segments, each segment comprising at least one image; analyzing the each segment with respect to content and associating a set of content descriptors resulting from the analyzing act; establishing relations between the plurality of segments based on the content descriptors, wherein each relation between first and second segments has one or more weights associated thereto, the one or more weights representing a measure of relation between the first and second segments; determining for the each segment a relevance parameter based on the weights associated with relations to said segment; and generating a summary by selecting a subset of segments from the plurality of segments based on the relevance parameters associated with the segments, wherein the relevance parameter of each segment is based on a sum of all weights associated with relations to said segment. | 1. A method for providing a summary of a plurality of images, the method comprising the acts of: dividing by a processor the plurality of images into a plurality of segments, each segment comprising at least one image; analyzing the each segment with respect to content and associating a set of content descriptors resulting from the analyzing act; establishing relations between the plurality of segments based on the content descriptors, wherein each relation between first and second segments has one or more weights associated thereto, the one or more weights representing a measure of relation between the first and second segments; determining for the each segment a relevance parameter based on the weights associated with relations to said segment; and generating a summary by selecting a subset of segments from the plurality of segments based on the relevance parameters associated with the segments, wherein the relevance parameter of each segment is based on a sum of all weights associated with relations to said segment. 13. The method according to claim 1 , wherein the summary is generated taking into account preferences input by a user. | 0.569468 |
9. A data processing system to provide controlled, electronic access to variable domain data stored in a data processing system, the data processing system comprises: a processor; and a storage medium coupled to the processor and having data encoded therein, the data comprising processor executable code for: receiving information from a principal that includes information identifying the principal; performing one or more logical relationship operations on a data security model and a variable domain data model using security attributes of the data security model to determine a level of resource data access to be granted to the principal, wherein variable domain model comprises a product configuration model, and performing the one or more logical operations comprises executing a configuration engine to perform an intersection between configuration spaces defined by a data security model and a product configuration model, wherein data included in any overlap of the configuration spaces is used to determine a level of resource data access to be granted to the principal; and granting the principal access to the resource data in accordance with the determined level of resource data access to be granted to the principal, wherein the principal comprises an entity that has controlled access to the resource data. | 9. A data processing system to provide controlled, electronic access to variable domain data stored in a data processing system, the data processing system comprises: a processor; and a storage medium coupled to the processor and having data encoded therein, the data comprising processor executable code for: receiving information from a principal that includes information identifying the principal; performing one or more logical relationship operations on a data security model and a variable domain data model using security attributes of the data security model to determine a level of resource data access to be granted to the principal, wherein variable domain model comprises a product configuration model, and performing the one or more logical operations comprises executing a configuration engine to perform an intersection between configuration spaces defined by a data security model and a product configuration model, wherein data included in any overlap of the configuration spaces is used to determine a level of resource data access to be granted to the principal; and granting the principal access to the resource data in accordance with the determined level of resource data access to be granted to the principal, wherein the principal comprises an entity that has controlled access to the resource data. 13. The data processing system of claim 9 wherein the level of resource data access granted to the principal comprises rights to view the resource data. | 0.554229 |
1. A method, comprising: receiving a first message comprising a first key word; receiving a request to display the first message; in response to receiving the request to display the first message, displaying a first part of information associated with the first key word; receiving a trigger associated with the first part of information; in response to receiving the trigger associated with the first part of information, obtaining a second part of information associated with the first key word; outputting a second message based at least in part on the second part of information associated with the first key word; extracting a second key word from the second message; determining whether the second key word matches the first key word; and in response to a determination that the second key word matches the first key word, deleting information associated with the first message. | 1. A method, comprising: receiving a first message comprising a first key word; receiving a request to display the first message; in response to receiving the request to display the first message, displaying a first part of information associated with the first key word; receiving a trigger associated with the first part of information; in response to receiving the trigger associated with the first part of information, obtaining a second part of information associated with the first key word; outputting a second message based at least in part on the second part of information associated with the first key word; extracting a second key word from the second message; determining whether the second key word matches the first key word; and in response to a determination that the second key word matches the first key word, deleting information associated with the first message. 16. The method of claim 1 , wherein the displaying of the first part of the information associated with the first key word in response to receiving the request to display the first message comprises: providing one or more function objects on an interface on which the first part of the information associated with the first key word is displayed, wherein the one or more function objects cause a client to perform one or more corresponding functions in response to selection of the one or more function objects. | 0.5 |
3. The method of claim 1 , further comprising: integrating a second plurality of information sources to train the diacritization model. | 3. The method of claim 1 , further comprising: integrating a second plurality of information sources to train the diacritization model. 4. The method of claim 3 , wherein the second plurality of information sources used to train the diacritization model comprises previously predicted diacritics, graphemes, morphological units, words, part-of-speech (POS) tags, syntactic information, semantic analysis, and/or linguistic knowledge. | 0.920997 |
16. A system comprising: one or more server devices comprising: one or more memory devices to store instructions; and one or more processors to execute the instructions to: obtain a rank position map, the rank position map specifying, for a plurality of rank positions, an expected utility rate for a document presented at a particular one of the plurality of rank positions as a search result, the expected utility rate being derived from an aggregate quantity of selections of the document presented as a search result at the particular one of the plurality of rank positions; determine an expected utility rate, for a particular document, based on the obtained rank position map and based on a quantity of times that the particular document was presented as a search result at particular ones of the plurality of rank positions; determine an actual utility rate for the particular document based on an actual quantity of selections of the particular document and based on a total quantity of times that the particular document was presented as a search result; calculate a correction factor, for the particular document, based on the determined expected utility rate and the determined actual utility rate; determine a confidence level for the correction factor, the confidence level representing a measure of confidence associated with the correction factor; adjust the correction factor based on the determined confidence level; select, based on determining that the confidence level is less than a threshold, a set of documents, the particular document being included in the set of documents; calculate an aggregated correction factor for the set of documents; use the aggregated correction factor as the correction factor for the particular document; adjust a score of the particular document based on the correction factor; and provide, for presentation, a ranked list of search results, one of the search results corresponding to the particular document, and a ranking of the search result corresponding to the particular document being based on the adjusted score. | 16. A system comprising: one or more server devices comprising: one or more memory devices to store instructions; and one or more processors to execute the instructions to: obtain a rank position map, the rank position map specifying, for a plurality of rank positions, an expected utility rate for a document presented at a particular one of the plurality of rank positions as a search result, the expected utility rate being derived from an aggregate quantity of selections of the document presented as a search result at the particular one of the plurality of rank positions; determine an expected utility rate, for a particular document, based on the obtained rank position map and based on a quantity of times that the particular document was presented as a search result at particular ones of the plurality of rank positions; determine an actual utility rate for the particular document based on an actual quantity of selections of the particular document and based on a total quantity of times that the particular document was presented as a search result; calculate a correction factor, for the particular document, based on the determined expected utility rate and the determined actual utility rate; determine a confidence level for the correction factor, the confidence level representing a measure of confidence associated with the correction factor; adjust the correction factor based on the determined confidence level; select, based on determining that the confidence level is less than a threshold, a set of documents, the particular document being included in the set of documents; calculate an aggregated correction factor for the set of documents; use the aggregated correction factor as the correction factor for the particular document; adjust a score of the particular document based on the correction factor; and provide, for presentation, a ranked list of search results, one of the search results corresponding to the particular document, and a ranking of the search result corresponding to the particular document being based on the adjusted score. 25. The system of claim 16 , where, when the one or more processors are to adjust the score of the particular document, the one or more processors are further to: adjust an index score, associated with the particular document, based on the correction factor, and where the one or more processors are further to: determine whether to include the particular document in a document index based on the adjusted index score. | 0.57798 |
9. The method of claim 8 wherein processing the query based on the plurality of dates includes including, in search results for the query, items associated with each of the plurality of dates. | 9. The method of claim 8 wherein processing the query based on the plurality of dates includes including, in search results for the query, items associated with each of the plurality of dates. 10. The method of claim 9 wherein: processing the query based on the plurality of dates includes ranking search results for the query based, at least in part, on scores generated for each of the plurality of dates; and the scores are based on content of said queries previously received by the search engine. | 0.883346 |
7. The method of claim 6 , wherein the predicting the retrieved plurality of images by maximizing the weighted feature vectors extracted by each of the trained image attribute detectors further comprises: employing a complex loss function to more heavily penalize one of the weighted feature vector outputs that deviates more from a correct output measured based on an optimized performance metric than another of the weighted feature vector outputs having a lesser deviation from the correct output measured based on the optimized performance metric. | 7. The method of claim 6 , wherein the predicting the retrieved plurality of images by maximizing the weighted feature vectors extracted by each of the trained image attribute detectors further comprises: employing a complex loss function to more heavily penalize one of the weighted feature vector outputs that deviates more from a correct output measured based on an optimized performance metric than another of the weighted feature vector outputs having a lesser deviation from the correct output measured based on the optimized performance metric. 8. The method of claim 7 , wherein the max-margin training further comprises: generating a plurality of constraints; and iteratively adding most violated constraints of the generating a plurality of constraints to the optimized performance metric. | 0.858731 |
1. A method comprising: generating, using at least one processor coupled to a memory, an attribute index for one or more data objects, the attribute index comprising entries associated with respective access control information for each of the one or more data objects; generating a content index for the one or more data objects, the content index comprising words from the one or more data objects and one or more document links associated with respective words in the context index, a link from the one or more document links associated with a particular word in the context index, the link providing a reference to an entry in the attribute index, the entry in the attribute index indicating a particular document that includes the particular word and including access control information for the particular document; searching, using a search query, a content index to determine a first search results set, the first search result set comprising a first set of data objects from the one or more data objects; searching, using access data associated with the search query, an attribute index to determine a second search result set, the second search result set comprising a second set of data objects from the one or more data objects; and obtaining a search result based on the first search result set and the second search result set. | 1. A method comprising: generating, using at least one processor coupled to a memory, an attribute index for one or more data objects, the attribute index comprising entries associated with respective access control information for each of the one or more data objects; generating a content index for the one or more data objects, the content index comprising words from the one or more data objects and one or more document links associated with respective words in the context index, a link from the one or more document links associated with a particular word in the context index, the link providing a reference to an entry in the attribute index, the entry in the attribute index indicating a particular document that includes the particular word and including access control information for the particular document; searching, using a search query, a content index to determine a first search results set, the first search result set comprising a first set of data objects from the one or more data objects; searching, using access data associated with the search query, an attribute index to determine a second search result set, the second search result set comprising a second set of data objects from the one or more data objects; and obtaining a search result based on the first search result set and the second search result set. 10. The method of claim 1 , wherein the access control attributes comprise at least one of a user name, a user role, a user group name, and at least one user access right. | 0.546804 |
1. A method for querying a database comprising: identifying an interface to the database for receiving a query including path expressions by a database management apparatus; receiving input defining a compliance rule, the input including: i) input identifying a configuration-item type, the identified configuration-item type determining a type of configuration item in an IT infrastructure of different types of configuration items; ii) input defining a rule scope, the rule scope determining which configuration items of the identified type are to be checked by the compliance rule; and iii) input defining a desired state for each of the configuration items to be checked by the rule, the desired state including at least one compliance condition that must be satisfied for a checked configuration item to be in compliance; receiving input identifying at least one path, each path being from an object in an object model to a related object in the object model or to an attribute of a related object in the object model; creating a path expression for each identified path, each path expression being composed from tokens selected from the group consisting of object identifiers, attribute identifiers, a relationship operator, and path qualifiers, the tokens sequentially added together to create the path expression; displaying at least one list of selectable items, each item associated with a token; receiving selection of at least one of the selectable items; including the at least one token associated with the selected at least one item into the path expression for one of the identified paths; creating a query for querying data structured in accordance with the object model, the query including at least one of the created path expressions; and executing the query on the database to query the data. | 1. A method for querying a database comprising: identifying an interface to the database for receiving a query including path expressions by a database management apparatus; receiving input defining a compliance rule, the input including: i) input identifying a configuration-item type, the identified configuration-item type determining a type of configuration item in an IT infrastructure of different types of configuration items; ii) input defining a rule scope, the rule scope determining which configuration items of the identified type are to be checked by the compliance rule; and iii) input defining a desired state for each of the configuration items to be checked by the rule, the desired state including at least one compliance condition that must be satisfied for a checked configuration item to be in compliance; receiving input identifying at least one path, each path being from an object in an object model to a related object in the object model or to an attribute of a related object in the object model; creating a path expression for each identified path, each path expression being composed from tokens selected from the group consisting of object identifiers, attribute identifiers, a relationship operator, and path qualifiers, the tokens sequentially added together to create the path expression; displaying at least one list of selectable items, each item associated with a token; receiving selection of at least one of the selectable items; including the at least one token associated with the selected at least one item into the path expression for one of the identified paths; creating a query for querying data structured in accordance with the object model, the query including at least one of the created path expressions; and executing the query on the database to query the data. 2. The method of claim 1 , wherein the path qualifiers comprise: a particular attribute identifier of the attribute identifiers; a threshold value; and an operator for comparing the threshold value to the identified attribute. | 0.558055 |
57. The method of claim 47 , wherein the method further comprises: responsive to a command, determining which of (a) a request for a new web page and (b) a request for embedded data of a current web page the command includes; if it is determined that the command includes the request for the embedded data, transmitting the request to a web server; and otherwise determining whether the command is a voice command. | 57. The method of claim 47 , wherein the method further comprises: responsive to a command, determining which of (a) a request for a new web page and (b) a request for embedded data of a current web page the command includes; if it is determined that the command includes the request for the embedded data, transmitting the request to a web server; and otherwise determining whether the command is a voice command. 58. The method of claim 57 , wherein the determination of which of the request for the new page and the request for the embedded data the command includes is performed by examining one of a header and a footer associated with the command. | 0.870792 |
10. The method of claim 1 further comprising determining a predefined set of preferences; and storing the versions of the documents in accordance with the determined preferences. | 10. The method of claim 1 further comprising determining a predefined set of preferences; and storing the versions of the documents in accordance with the determined preferences. 17. The method of claim 10 wherein the set of preferences includes a preference for defining a set of one or more documents not to be stored in the directory. | 0.918459 |
1. A method in a data processing system comprising: reading a plurality of characters stored in a character buffer and a plurality of character attributes stored in an attribute buffer of a computer host terminal application, wherein said computer host terminal application is displayed to a user as a plurality of lines of said plurality of characters; performing component recognition on said plurality of characters and said plurality of character attributes to identify essential characters, wherein said essential characters are required to be displayed to a user for said user to be able to interact with said computer host terminal application; generating hypertext markup language code for reconfiguring said plurality of characters for display on a portable data processing system having a small display that has a small display size, wherein said generating comprises: starting a new line of characters at a position on the small display where an original version of the line of characters was originally started in said computer host terminal application; breaking said original line of characters into more than one line of characters in order to wrap said original line of characters such that said new line of characters fits within said small display size; eliminating the display of characters from the plurality of characters that are not essential characters; and displaying all of said essential characters on said small display; and storing said generated hypertext markup language code for display on said portable data processing system. | 1. A method in a data processing system comprising: reading a plurality of characters stored in a character buffer and a plurality of character attributes stored in an attribute buffer of a computer host terminal application, wherein said computer host terminal application is displayed to a user as a plurality of lines of said plurality of characters; performing component recognition on said plurality of characters and said plurality of character attributes to identify essential characters, wherein said essential characters are required to be displayed to a user for said user to be able to interact with said computer host terminal application; generating hypertext markup language code for reconfiguring said plurality of characters for display on a portable data processing system having a small display that has a small display size, wherein said generating comprises: starting a new line of characters at a position on the small display where an original version of the line of characters was originally started in said computer host terminal application; breaking said original line of characters into more than one line of characters in order to wrap said original line of characters such that said new line of characters fits within said small display size; eliminating the display of characters from the plurality of characters that are not essential characters; and displaying all of said essential characters on said small display; and storing said generated hypertext markup language code for display on said portable data processing system. 3. The method of claim 1 , wherein some characters from the plurality of characters represent words for a user of the portable data processing system to read. | 0.546248 |
26. A non-transitory computer useable medium comprising: a first set of computer program code adapted to accessing a preexisting entity list; a second set of computer program code adapted to analyze a first document to detect an entity, the entity comprising a person, place, or organization, the first document being associated with a current legal event; a third set of computer program code adapted to resolve the detected entity with the preexisting entity list and, if the detected entity is not present in the preexisting entity list, generating a list of new entities; a fourth set of computer program code adapted to generate respective first sets of relationship data representing a relationship between the first document, the current legal event, and each respective detected entity, the respective first sets of relationship data further comprising respective sets of information associated with the relationship between each respective detected entity and the current legal event; a fifth set of computer program code adapted to repeat the resolving step for each distinct entity detected in the first document and adding each distinct entity not present in the preexisting entity list to the list of new entities; a sixth set of computer program code adapted to generate a second set of relationship data representing the relationship between the detected entity and a professional support resource comprising tools for creating and editing a work product document, the work product document comprising a reference to at least one of the resolved entities; a seventh set of computer program code adapted to store the respective first sets of relationship data and the second set of relationship data; an eighth set of computer program code adapted to display a user interface to allow a user to select from a set of professional support resources; a ninth set of computer program code adapted to identify the reference to the at least one resolved entity with a smart tag; and a tenth set of computer program code adapted to edit the work product document in response to a signal representing a user input associated with the professional support resource and related to the smart tag. | 26. A non-transitory computer useable medium comprising: a first set of computer program code adapted to accessing a preexisting entity list; a second set of computer program code adapted to analyze a first document to detect an entity, the entity comprising a person, place, or organization, the first document being associated with a current legal event; a third set of computer program code adapted to resolve the detected entity with the preexisting entity list and, if the detected entity is not present in the preexisting entity list, generating a list of new entities; a fourth set of computer program code adapted to generate respective first sets of relationship data representing a relationship between the first document, the current legal event, and each respective detected entity, the respective first sets of relationship data further comprising respective sets of information associated with the relationship between each respective detected entity and the current legal event; a fifth set of computer program code adapted to repeat the resolving step for each distinct entity detected in the first document and adding each distinct entity not present in the preexisting entity list to the list of new entities; a sixth set of computer program code adapted to generate a second set of relationship data representing the relationship between the detected entity and a professional support resource comprising tools for creating and editing a work product document, the work product document comprising a reference to at least one of the resolved entities; a seventh set of computer program code adapted to store the respective first sets of relationship data and the second set of relationship data; an eighth set of computer program code adapted to display a user interface to allow a user to select from a set of professional support resources; a ninth set of computer program code adapted to identify the reference to the at least one resolved entity with a smart tag; and a tenth set of computer program code adapted to edit the work product document in response to a signal representing a user input associated with the professional support resource and related to the smart tag. 27. The non-transitory computer useable medium of claim 26 further comprising: an eleventh set of computer program code adapted to display a user interface adapted to allow a user to select or deselect one or more of the new entities. | 0.581591 |
1. A non-transitory computer-readable medium that stores instructions executable by one or more processors to perform a method for attracting users to a web page, comprising: instructions for creating a special event logo by modifying a standard company logo for a special event, where the instructions for creating the special event logo includes instructions for modifying the standard company logo with one or more animated images; instructions for associating a link or search results with the special event logo, the link identifying a document relating to the special event, the search results relating to the special event; instructions for uploading the special event logo to the web page; instructions for receiving a user selection of the special event logo; and instructions for providing the document relating to the special event or the search results relating to the special event based on the user selection. | 1. A non-transitory computer-readable medium that stores instructions executable by one or more processors to perform a method for attracting users to a web page, comprising: instructions for creating a special event logo by modifying a standard company logo for a special event, where the instructions for creating the special event logo includes instructions for modifying the standard company logo with one or more animated images; instructions for associating a link or search results with the special event logo, the link identifying a document relating to the special event, the search results relating to the special event; instructions for uploading the special event logo to the web page; instructions for receiving a user selection of the special event logo; and instructions for providing the document relating to the special event or the search results relating to the special event based on the user selection. 2. The computer-readable medium of claim 1 , wherein the instructions for creating a special event logo further include: instructions for modifying the standard company logo with at least one of video or audio data. | 0.504587 |
12. A non-transitory computer readable medium that stores instructions for: generating a random value for each plaintext symbol of multiple plaintext symbols; and calculating, using a monotonic increasing function, a random token for each plaintext symbol based on a random value of the plaintext symbol and on random values of other plaintext symbols that have a lower lexicographic value than the plaintext symbol; wherein the encryption dictionary comprises a mapping between the multiple plaintext symbols and random values of the multiple plaintext symbols based on a sensitivity level of one or more of the symbols, wherein the random token for each plaintext symbol is based on a random value of the plaintext symbol and on random values of other plaintext symbols that have a lower lexicographic value than the plaintext symbol. | 12. A non-transitory computer readable medium that stores instructions for: generating a random value for each plaintext symbol of multiple plaintext symbols; and calculating, using a monotonic increasing function, a random token for each plaintext symbol based on a random value of the plaintext symbol and on random values of other plaintext symbols that have a lower lexicographic value than the plaintext symbol; wherein the encryption dictionary comprises a mapping between the multiple plaintext symbols and random values of the multiple plaintext symbols based on a sensitivity level of one or more of the symbols, wherein the random token for each plaintext symbol is based on a random value of the plaintext symbol and on random values of other plaintext symbols that have a lower lexicographic value than the plaintext symbol. 13. The non-transitory computer readable medium according to claim 12 that stores instructions for calculating the random token of plaintext symbol by summing the random values of other plaintext symbols that have a lower lexicographic value than the plaintext symbol. | 0.652661 |
1. At least one computer-readable storage medium having computer-executable instructions that when executed by a computer perform steps, the steps comprising: displaying search results to a user, the search results having been obtained by, in response to inputting a first query by the user, searching both local storage of the computer for local data items that match the first query and searching one or more computers on the network for remote data items that match the first query, wherein some of the data items are documents and files, and wherein the search results comprise those remote and local data items that match the first query; displaying a user interface with a user interface element whose activation by the user with reference to a data item in the displayed search results causes a determination to be made of whether a collection is open for editing and if not causes creation of a new collection which becomes the collection open for editing, the activation also causing the data item to be added to the collection open for editing, wherein the user uses the user interface to interact with the search results to author the collection open for editing, the collection, in accordance with the interaction is then comprised of references to various of the data items in the search results that were interactively selected by the user via the user interface element, wherein the user interface also allows the user to add to the collection a second query that becomes a member of the collection and allows the user to select from among collections previously created with the user interface an existing other collection to be added to the collection open for editing wherein any collection is permitted to contain another collection as a member thereof; and persisting the collection on the computer such that when the collection is selected by the user the computer displays indicia of the data items referred to by the references in the collection, wherein when the collection is selected by the user the second query is automatically executed to search both the local storage and the one or more remote computers and any local or remote data items that match the second query are displayed with the data items previously selected by the user for inclusion in the collection, and where the other collection added to the collection is also displayed by running any queries therein and by displaying any collections therein. | 1. At least one computer-readable storage medium having computer-executable instructions that when executed by a computer perform steps, the steps comprising: displaying search results to a user, the search results having been obtained by, in response to inputting a first query by the user, searching both local storage of the computer for local data items that match the first query and searching one or more computers on the network for remote data items that match the first query, wherein some of the data items are documents and files, and wherein the search results comprise those remote and local data items that match the first query; displaying a user interface with a user interface element whose activation by the user with reference to a data item in the displayed search results causes a determination to be made of whether a collection is open for editing and if not causes creation of a new collection which becomes the collection open for editing, the activation also causing the data item to be added to the collection open for editing, wherein the user uses the user interface to interact with the search results to author the collection open for editing, the collection, in accordance with the interaction is then comprised of references to various of the data items in the search results that were interactively selected by the user via the user interface element, wherein the user interface also allows the user to add to the collection a second query that becomes a member of the collection and allows the user to select from among collections previously created with the user interface an existing other collection to be added to the collection open for editing wherein any collection is permitted to contain another collection as a member thereof; and persisting the collection on the computer such that when the collection is selected by the user the computer displays indicia of the data items referred to by the references in the collection, wherein when the collection is selected by the user the second query is automatically executed to search both the local storage and the one or more remote computers and any local or remote data items that match the second query are displayed with the data items previously selected by the user for inclusion in the collection, and where the other collection added to the collection is also displayed by running any queries therein and by displaying any collections therein. 2. The computer-readable storage medium of claim 1 wherein the search of the local storage and the one or more computers on the network is performed by a federated search facility that takes arbitrary user queries and searches plural different types of data sources for data items that match the queries and which presents data items that match a query as a single unified search result set. | 0.512023 |
22. The method of claim 19 , wherein the GUI is configured to enable a user to set properties of the components in response to a user input. | 22. The method of claim 19 , wherein the GUI is configured to enable a user to set properties of the components in response to a user input. 23. The method of claim 22 , wherein the properties include at least one of a widget property or a property of an input/output (I/O) device. | 0.974731 |
1. A computer-implemented method, comprising: presenting, in a query interface, an abstract query comprising a plurality of conditional expressions arranged within multiple nested logical levels separated by one or more logical operators, wherein the plurality of conditional expressions is defined in an abstraction model that defines logical fields that model underlying physical data, wherein each of the defined logical fields is associated with a respective access method specifying a manner of mapping the logical field to a corresponding one or more physical fields of the underlying physical data, and wherein the respective access method is selected from two or more different types of access methods; receiving a selection, from the plurality of conditional expressions, of one or more conditional expressions to be disabled in the abstract query; presenting the abstract query in the query interface, wherein each of the selected one or more conditional expressions is presented with an indication communicating that the respective conditional expression is disabled, such that each of the selected one or more conditional expressions is maintained in a respective original location within the multiple nested logical levels of the abstract query; executing the abstract query excluding the selected one or more conditional expressions, comprising: generating a temporary abstract query based on the abstract query and the selected one or more conditional expressions, wherein the temporary abstract query excludes the selected one or more conditional expressions; transforming the generated temporary abstract query into an executable query; and executing the executable query against the underlying physical data to produce a set of query results; and returning the set of query results of executing the abstract query to the query interface. | 1. A computer-implemented method, comprising: presenting, in a query interface, an abstract query comprising a plurality of conditional expressions arranged within multiple nested logical levels separated by one or more logical operators, wherein the plurality of conditional expressions is defined in an abstraction model that defines logical fields that model underlying physical data, wherein each of the defined logical fields is associated with a respective access method specifying a manner of mapping the logical field to a corresponding one or more physical fields of the underlying physical data, and wherein the respective access method is selected from two or more different types of access methods; receiving a selection, from the plurality of conditional expressions, of one or more conditional expressions to be disabled in the abstract query; presenting the abstract query in the query interface, wherein each of the selected one or more conditional expressions is presented with an indication communicating that the respective conditional expression is disabled, such that each of the selected one or more conditional expressions is maintained in a respective original location within the multiple nested logical levels of the abstract query; executing the abstract query excluding the selected one or more conditional expressions, comprising: generating a temporary abstract query based on the abstract query and the selected one or more conditional expressions, wherein the temporary abstract query excludes the selected one or more conditional expressions; transforming the generated temporary abstract query into an executable query; and executing the executable query against the underlying physical data to produce a set of query results; and returning the set of query results of executing the abstract query to the query interface. 3. The computer-implemented method of claim 1 , wherein presenting each of the one or more conditional expressions with an indication comprises presenting each of the one or more conditional expressions in a struck-out font. | 0.722906 |
11. A document server, comprising: at least one computing device having at least one processor that executes computer executable instructions; a document request handler configured to receive requests from devices for a second-language document stored in a database, the second-language document being a translated version of a first-language document, the document request handler being configured to transmit the second-language document and one or more suggested edits associated with segments of the second-language document to requesting devices in response to the request, thereby presenting a second user with a selection to accept or reject each of one or more suggested edits; a suggestion receiver module configured to receive a suggested edit to a segment of second-language text of the second-language document from a first device, the suggested edit generated by a first user at the first device, and to associate the received suggested edit with the segment of second-language text of the second-language document stored in the database; and a suggestion approver module configured to receive an indication of the approval of the suggested edit from a second device, the approval provided by the second user at the second device, the suggestion approver module configured to convert the suggested edit into an accepted edit of the translated version, and to enable the segment of second-language text of the second-language document to be displayed as modified according to the suggested edit. | 11. A document server, comprising: at least one computing device having at least one processor that executes computer executable instructions; a document request handler configured to receive requests from devices for a second-language document stored in a database, the second-language document being a translated version of a first-language document, the document request handler being configured to transmit the second-language document and one or more suggested edits associated with segments of the second-language document to requesting devices in response to the request, thereby presenting a second user with a selection to accept or reject each of one or more suggested edits; a suggestion receiver module configured to receive a suggested edit to a segment of second-language text of the second-language document from a first device, the suggested edit generated by a first user at the first device, and to associate the received suggested edit with the segment of second-language text of the second-language document stored in the database; and a suggestion approver module configured to receive an indication of the approval of the suggested edit from a second device, the approval provided by the second user at the second device, the suggestion approver module configured to convert the suggested edit into an accepted edit of the translated version, and to enable the segment of second-language text of the second-language document to be displayed as modified according to the suggested edit. 16. The document server of claim 11 , wherein the suggestion approver module is configured to revise the segment of second-language text in the second-language document according to the suggested edit to generate a modified second-language document. | 0.634074 |
18. An integrated telephone call handling system, comprising: a telephone line coupling said system with a telephone network to thereby allow communication between said system and parties via said network; a plurality of functional partitions within a common memory and under control of a common processor, said functional partitions capable of providing mechanized communication with said parties via said system and said network, said communication comprising data selected from the group consisting of: voice, text and image data; a plurality of agent workstations and agent telephones coupled to said system, said workstations and telephones capable of providing communication between agents and said parties via said system and said network; a unified controller within said system for controlling calls between said system and said parties, said unified controller (1) capable of transferring said calls among said functional partitions and agent workstations and telephones, (2) capable of directing communications between said parties and said functional partitions and (3) capable of directing communications between said system and said agent workstations and agent telephones, said unified controller including a unified script language operable to generate a voice script from inception to termination of said call, said voice script including a first script for directing interaction between said party and said functional partitions and a second script for directing interaction between said system and said agent. | 18. An integrated telephone call handling system, comprising: a telephone line coupling said system with a telephone network to thereby allow communication between said system and parties via said network; a plurality of functional partitions within a common memory and under control of a common processor, said functional partitions capable of providing mechanized communication with said parties via said system and said network, said communication comprising data selected from the group consisting of: voice, text and image data; a plurality of agent workstations and agent telephones coupled to said system, said workstations and telephones capable of providing communication between agents and said parties via said system and said network; a unified controller within said system for controlling calls between said system and said parties, said unified controller (1) capable of transferring said calls among said functional partitions and agent workstations and telephones, (2) capable of directing communications between said parties and said functional partitions and (3) capable of directing communications between said system and said agent workstations and agent telephones, said unified controller including a unified script language operable to generate a voice script from inception to termination of said call, said voice script including a first script for directing interaction between said party and said functional partitions and a second script for directing interaction between said system and said agent. 31. The system as recited in claim 18 further comprising: means for creating a single record containing data gathered during a particular call; and means for storing data pertaining to said call in said single record throughout a duration of said call, said data gathered from said functional partitions within said system to thereby eliminate a need to gather a particular datum multiple times during said call. | 0.539554 |
17. A machine readable storage medium having stored thereon data that when accessed by a machine causes the machine to perform a method, the method comprising: translating a first binary code executable on a first processor to a second binary code executable on a second processor; inserting instrumentation code to the second binary code for selecting a code segment of the second binary code for load-store memory disambiguation based at least in part on a measure of likelihood of frequency of execution of the code segment; determining prior to runtime checks non-aliasing memory references for exclusion associated with memory references of load and store instructions in the selected code segment; heuristically identifying, in response to the determining, one or more ambiguous memory dependencies associated with the memory references of the load and the store instructions in the selected code segment for disambiguation by the runtime checks; performing a pointer analysis of the selected code segment, in response to the heuristically identifying, to identify all other ambiguous memory dependencies removable by the runtime checks; and inserting the runtime checks to the selected code segment to disambiguate identified ambiguous memory dependencies from the pointer analysis and to disambiguate heuristically identified memory dependencies. | 17. A machine readable storage medium having stored thereon data that when accessed by a machine causes the machine to perform a method, the method comprising: translating a first binary code executable on a first processor to a second binary code executable on a second processor; inserting instrumentation code to the second binary code for selecting a code segment of the second binary code for load-store memory disambiguation based at least in part on a measure of likelihood of frequency of execution of the code segment; determining prior to runtime checks non-aliasing memory references for exclusion associated with memory references of load and store instructions in the selected code segment; heuristically identifying, in response to the determining, one or more ambiguous memory dependencies associated with the memory references of the load and the store instructions in the selected code segment for disambiguation by the runtime checks; performing a pointer analysis of the selected code segment, in response to the heuristically identifying, to identify all other ambiguous memory dependencies removable by the runtime checks; and inserting the runtime checks to the selected code segment to disambiguate identified ambiguous memory dependencies from the pointer analysis and to disambiguate heuristically identified memory dependencies. 19. The machine readable medium of claim 17 , wherein selecting the code segment further comprises selecting the code segment based on tracing the instrumented code. | 0.605701 |
7. A method as recited in claim 6 , further including defining the margin shapes. | 7. A method as recited in claim 6 , further including defining the margin shapes. 8. A method as recited in claim 7 , wherein defining the margin shapes includes defining for each side of a polygon that at least approximates the graphic a rectangle that is twice as wide as the desired margin, encloses the side, and is bisected by the side; and defining for each vertex of the polygon that at least approximates the graphic a circle centered on the vertex and having a radius equal to the desired margin. | 0.810714 |
1. A system of networked apparatuses that provide adaptive queries, the processing being performed over a network to provide communication interface amongst the networked apparatuses, each of the apparatuses in the form of a tangibly embodied computer processor, each computer processor including instructions on a non-transitory computer memory, the system comprising: the network over which a plurality of networked apparatuses communicate; an adaptive query server, the adaptive query server including: a query processor including instructions on a non-transitory computer medium, the non-transitory computer medium constituted by one or more data storage mediums; the query processor including a training manager module for loading at least one query; the query processor including a personality mapping module for mapping at least one recipient profile to create a recipient profile file for each individual recipient associated with the plurality of networked apparatuses, the recipient profile file stored in the one or more data storage mediums; the query processor including a relevancy mapping module for mapping the relevancy of the one or more queries to a plurality of individual recipients associated with the plurality of networked apparatuses; the query processor determining a query for a selected recipient based on the recipient profile file associated with the recipient and the relevancy mapping of the query; the query processor generating a query message including data on the query, the selected recipient profile, and a suggested recipient interface template; and the query processor initiating a communication including the query message to at least one recipient device associated with the selected recipient; at least one recipient device, the recipient device including: an adaptive processor including instructions on a non-transitory computer medium, the non-transitory computer medium constituted by one of more data storage mediums, the adaptive processor including a profile module for determining a real time profile of the recipient associated with the recipient device and storing the profile in one of the data storage mediums on the device; the adaptive processor processing the query message to extract the query, the selected recipient profile, and the suggested recipient interface template; the adaptive processor comparing the selected recipient profile from the adaptive query server to the profile file on the recipient device; the adaptive processor including a profile manager and selecting a final recipient profile from a plurality of recipient profiles stored in the one or more data storage mediums based on the comparison; the adaptive processor including a user interface manager, the user interface manager selecting a final user interface template from a plurality of user interface templates stored in the one or more data storage mediums based on the final user profile; and the adaptive processor generating a user interface for display on the recipient device comprised of the final user interface template, a final set of query data from the plurality of query data and selecting the location of each element of the final set of query data within the final user interface template. | 1. A system of networked apparatuses that provide adaptive queries, the processing being performed over a network to provide communication interface amongst the networked apparatuses, each of the apparatuses in the form of a tangibly embodied computer processor, each computer processor including instructions on a non-transitory computer memory, the system comprising: the network over which a plurality of networked apparatuses communicate; an adaptive query server, the adaptive query server including: a query processor including instructions on a non-transitory computer medium, the non-transitory computer medium constituted by one or more data storage mediums; the query processor including a training manager module for loading at least one query; the query processor including a personality mapping module for mapping at least one recipient profile to create a recipient profile file for each individual recipient associated with the plurality of networked apparatuses, the recipient profile file stored in the one or more data storage mediums; the query processor including a relevancy mapping module for mapping the relevancy of the one or more queries to a plurality of individual recipients associated with the plurality of networked apparatuses; the query processor determining a query for a selected recipient based on the recipient profile file associated with the recipient and the relevancy mapping of the query; the query processor generating a query message including data on the query, the selected recipient profile, and a suggested recipient interface template; and the query processor initiating a communication including the query message to at least one recipient device associated with the selected recipient; at least one recipient device, the recipient device including: an adaptive processor including instructions on a non-transitory computer medium, the non-transitory computer medium constituted by one of more data storage mediums, the adaptive processor including a profile module for determining a real time profile of the recipient associated with the recipient device and storing the profile in one of the data storage mediums on the device; the adaptive processor processing the query message to extract the query, the selected recipient profile, and the suggested recipient interface template; the adaptive processor comparing the selected recipient profile from the adaptive query server to the profile file on the recipient device; the adaptive processor including a profile manager and selecting a final recipient profile from a plurality of recipient profiles stored in the one or more data storage mediums based on the comparison; the adaptive processor including a user interface manager, the user interface manager selecting a final user interface template from a plurality of user interface templates stored in the one or more data storage mediums based on the final user profile; and the adaptive processor generating a user interface for display on the recipient device comprised of the final user interface template, a final set of query data from the plurality of query data and selecting the location of each element of the final set of query data within the final user interface template. 4. The adaptive query network of claim 1 , the profile module creating a new profile when the recipient's activities indicate one or more traits inconsistent with the profiles stored on the data storage mediums on the device. | 0.502805 |
1. A method of selectively visually representing speaker content generated in an audio conference, the method comprising: obtaining a profile for each of a plurality of audience members who participates in the audio conference through a respective communication device; monitoring, using a computer with a processor and memory, the speaker content spoken during the audio conference; classifying different words included in the speaker content to have different weights according to a parameter of the profile for each of the plurality of audience members; determining a relation of the speaker content to the profile for each of the plurality of audience members based on the classifying; and presenting, at a specific point in time, different visual representations of the speaker content to different ones of the plurality of audience members based on the determining, wherein the visual representations presented include a selective visual representation of the speaker content related to the parameter of the profile, such that the speaker content that is not related to the parameter of the profile is not visually represented. | 1. A method of selectively visually representing speaker content generated in an audio conference, the method comprising: obtaining a profile for each of a plurality of audience members who participates in the audio conference through a respective communication device; monitoring, using a computer with a processor and memory, the speaker content spoken during the audio conference; classifying different words included in the speaker content to have different weights according to a parameter of the profile for each of the plurality of audience members; determining a relation of the speaker content to the profile for each of the plurality of audience members based on the classifying; and presenting, at a specific point in time, different visual representations of the speaker content to different ones of the plurality of audience members based on the determining, wherein the visual representations presented include a selective visual representation of the speaker content related to the parameter of the profile, such that the speaker content that is not related to the parameter of the profile is not visually represented. 3. The method of claim 1 , wherein the visual representations include an indication of a relative timing at which the speaker content is presented in the audio conference. | 0.705479 |
8. A non-transitory computer-readable medium containing a program comprising a document management system (DMS) and which, when executed, performs an operation of keeping result documents, transformed from source documents, current when the source documents are modified, the operation comprising: receiving a source document by the DMS; fragmenting the source document into a constituent set of document fragments; and applying the document transformation to the set of document fragments to generate a set of result fragments; generating a fragment link table based on a set of links established between: (i) each document fragment of the constituent set of document fragments and (ii) a corresponding result fragment of the set of result fragments; wherein the document transformation specifies a set of rules to transform the source document into a result document; subsequent to generating the fragment link table, receiving a request to apply the document transformation to the source document; responsive to the request, identifying the constituent set of document fragments generated from the source document, wherein each source fragment is associated with one or more rules of the set of rules for transforming the source document into the result document, wherein each of the constituent set of document fragments is stored in the DMS as a distinct document used to build the source document; determining that one of the document fragments, from the set of document fragments generated from the source document, has been modified since a last time the document transformation was applied to the source document, including: (i) evaluating a timestamp associated with the constituent set of document fragments and (ii) analyzing a transformation status flag associated with the constituent set of document fragments; upon detecting occurrence of an event for performing a partial transformation, applying the one or more rules of the set of rules associated with the modified document fragment and by the DMS when executed by one or more computer processors, in order to generate a transformed result fragment, wherein the event is defined by the one or more rules; storing the transformed result fragment in a result fragment cache; assembling the transformed result fragment and a set of unmodified result fragments in order to form the result document without transforming the entirety of the source document having the modified document fragment; and returning the result document in response to the request; wherein the DMS is configured to, upon detecting occurrence of an event for performing a full transformation, transform the entirety of the source document having the modified document fragment, into the result document and without generating any transformed result fragments, wherein the event for performing the full transformation comprises, in respective instances: (i) a date last transformed; (ii) a percentage of modified fragments; and (iii) a user specifying to perform the full transformation; wherein the DMS is operatively connected to a client application, the client application comprising a plurality of components including a DMS plug-in and a transformation display tool, wherein the DMS plug-in permits the client application to interact with the DMS, wherein the transformation display tool is configured to render the result document; wherein the source document is an Extensible Markup Language (XML) document, wherein the document transformation is an Extensible Stylesheet Language Transformations (XSLT) transformation, wherein each of the constituent set of document fragments is a partial source tree of the XML document, wherein the XSLT transformation is used to generate a Hypertext Markup Language (HTML) document from the XML document. | 8. A non-transitory computer-readable medium containing a program comprising a document management system (DMS) and which, when executed, performs an operation of keeping result documents, transformed from source documents, current when the source documents are modified, the operation comprising: receiving a source document by the DMS; fragmenting the source document into a constituent set of document fragments; and applying the document transformation to the set of document fragments to generate a set of result fragments; generating a fragment link table based on a set of links established between: (i) each document fragment of the constituent set of document fragments and (ii) a corresponding result fragment of the set of result fragments; wherein the document transformation specifies a set of rules to transform the source document into a result document; subsequent to generating the fragment link table, receiving a request to apply the document transformation to the source document; responsive to the request, identifying the constituent set of document fragments generated from the source document, wherein each source fragment is associated with one or more rules of the set of rules for transforming the source document into the result document, wherein each of the constituent set of document fragments is stored in the DMS as a distinct document used to build the source document; determining that one of the document fragments, from the set of document fragments generated from the source document, has been modified since a last time the document transformation was applied to the source document, including: (i) evaluating a timestamp associated with the constituent set of document fragments and (ii) analyzing a transformation status flag associated with the constituent set of document fragments; upon detecting occurrence of an event for performing a partial transformation, applying the one or more rules of the set of rules associated with the modified document fragment and by the DMS when executed by one or more computer processors, in order to generate a transformed result fragment, wherein the event is defined by the one or more rules; storing the transformed result fragment in a result fragment cache; assembling the transformed result fragment and a set of unmodified result fragments in order to form the result document without transforming the entirety of the source document having the modified document fragment; and returning the result document in response to the request; wherein the DMS is configured to, upon detecting occurrence of an event for performing a full transformation, transform the entirety of the source document having the modified document fragment, into the result document and without generating any transformed result fragments, wherein the event for performing the full transformation comprises, in respective instances: (i) a date last transformed; (ii) a percentage of modified fragments; and (iii) a user specifying to perform the full transformation; wherein the DMS is operatively connected to a client application, the client application comprising a plurality of components including a DMS plug-in and a transformation display tool, wherein the DMS plug-in permits the client application to interact with the DMS, wherein the transformation display tool is configured to render the result document; wherein the source document is an Extensible Markup Language (XML) document, wherein the document transformation is an Extensible Stylesheet Language Transformations (XSLT) transformation, wherein each of the constituent set of document fragments is a partial source tree of the XML document, wherein the XSLT transformation is used to generate a Hypertext Markup Language (HTML) document from the XML document. 9. The non-transitory computer-readable medium of claim 8 , wherein determining that one of the document fragments, from the set of document fragments, has been modified since a last time the document transformation was applied to the source document, comprises evaluating a timestamp associated with the constituent set of document fragments. | 0.506604 |
15. A computer-implemented people matching system, comprising one or more processor-based devices configured to execute: a computer-implemented tagging function that enables a user of a computer implemented system to tag a plurality of computer-implemented objects for future reference; a people matching function that generates a match comprising a first person and a second person, wherein the match is generated based, at least in part, on an inference from a plurality of usage behaviors, wherein one of the plurality of usage behaviors is not a tagging behavior and a second of the plurality of usage behaviors is the user using the computer-implemented tagging function to tag a first computer-implemented object of the plurality of computer-implemented objects for future reference; and a computer implemented explanatory function that delivers a reason for the match to the first person, wherein the reason comprises the inference, wherein the inference is of a common interest. | 15. A computer-implemented people matching system, comprising one or more processor-based devices configured to execute: a computer-implemented tagging function that enables a user of a computer implemented system to tag a plurality of computer-implemented objects for future reference; a people matching function that generates a match comprising a first person and a second person, wherein the match is generated based, at least in part, on an inference from a plurality of usage behaviors, wherein one of the plurality of usage behaviors is not a tagging behavior and a second of the plurality of usage behaviors is the user using the computer-implemented tagging function to tag a first computer-implemented object of the plurality of computer-implemented objects for future reference; and a computer implemented explanatory function that delivers a reason for the match to the first person, wherein the reason comprises the inference, wherein the inference is of a common interest. 19. The system of claim 15 , further comprising: the reason, wherein the reason comprises an expression of interest by the second person toward the first person. | 0.684991 |
12. The method of claim 11 , wherein if the user accepts one or more of the contact items or one or more of the additional contact items, storing the accepted one or more contact items or one or more additional contact items in the project workspace. | 12. The method of claim 11 , wherein if the user accepts one or more of the contact items or one or more of the additional contact items, storing the accepted one or more contact items or one or more additional contact items in the project workspace. 13. The method of claim 12 , wherein if the user does not accept one or more of the contact items or one or more of the additional contact items, receiving a correction to one or more of the contact items or one or more of the additional contact items, and storing the corrected one or more contact items in the project workspace. | 0.929634 |
11. A system comprising: a cluster determining unit for determining the cluster for the unit to be subjected to text-to-speech conversion to determine the Gaussian Mixture Model of the cluster, wherein the Gaussian Mixture Model is generated from samples clustered through the use of a decision tree which includes combining two branches in the decision tree for clustering samples if the two branches are similar for further clustering; a distance calculating unit; using electronic logic circuitry for calculating the distance between the candidate samples in the cluster and the determined Gaussian Mixture Model; and an optimizing unit, for identifying the sample with the smallest distance for subsequent speech synthesizing. | 11. A system comprising: a cluster determining unit for determining the cluster for the unit to be subjected to text-to-speech conversion to determine the Gaussian Mixture Model of the cluster, wherein the Gaussian Mixture Model is generated from samples clustered through the use of a decision tree which includes combining two branches in the decision tree for clustering samples if the two branches are similar for further clustering; a distance calculating unit; using electronic logic circuitry for calculating the distance between the candidate samples in the cluster and the determined Gaussian Mixture Model; and an optimizing unit, for identifying the sample with the smallest distance for subsequent speech synthesizing. 12. The system according to claim 11 , wherein the optimizing unit is configured to identify the sample with the smallest target cost plus transition cost. | 0.736439 |
20. A computer-implemented method comprising: as implemented by one or more computing devices configured with specific computer-executable instructions, identifying an uncertain region in an item of textual content, wherein the uncertain region includes text of the item of textual content for which corresponding audio in an item of audio content has not yet been identified; identifying a region of the item of audio content that is preliminarily aligned to the uncertain region in the item of textual content; applying a language model including the text of the uncertain region to the region of the item of audio content to generate a textual transcription of the region of the item of audio content; identifying a significant corresponding word included in both the textual transcription and the text of item of textual content included in the uncertain region; and generating content synchronization information enabling the synchronous presentation of the significant corresponding word in both the item of textual content and the item of audio content. | 20. A computer-implemented method comprising: as implemented by one or more computing devices configured with specific computer-executable instructions, identifying an uncertain region in an item of textual content, wherein the uncertain region includes text of the item of textual content for which corresponding audio in an item of audio content has not yet been identified; identifying a region of the item of audio content that is preliminarily aligned to the uncertain region in the item of textual content; applying a language model including the text of the uncertain region to the region of the item of audio content to generate a textual transcription of the region of the item of audio content; identifying a significant corresponding word included in both the textual transcription and the text of item of textual content included in the uncertain region; and generating content synchronization information enabling the synchronous presentation of the significant corresponding word in both the item of textual content and the item of audio content. 24. The computer-implemented method of claim 20 further comprising: identifying a substantial acoustic similarity between a first word string of the item of textual content and a second word string of the textual transcription; and identifying a subregion of the item of audio content that corresponds to the first word string; wherein the first word string occurs substantially within the uncertain region in the item of textual content; and wherein the content synchronization information further facilitates the synchronous presentation of the first word string in the item of textual content and the corresponding subregion of the item of audio content. | 0.61922 |
8. A method for processing a stored output of a speech recognizer comprising: determining a context of a speech input to a speech recognizer; and a) if the speech input is in the context of a command, then for each command present in the stored output; i) determining a set of elements required for executing the command; ii) determining if the stored output is sufficiently complete for executing the command, and if so executing the command in a respectively targeted application or process; otherwise: iii) prompting a user for further input and receiving, processing and storing subsequent user input until the stored output and stored subsequent user input are together sufficiently complete for execution of the command or until the process is aborted; and iv) if sufficiently complete for processing, executing the command in a respectively targeted application or process; and b) if the speech input is in the context of a data input, passing a representation of the stored output or an identifier thereof to a contextually appropriate data sink. | 8. A method for processing a stored output of a speech recognizer comprising: determining a context of a speech input to a speech recognizer; and a) if the speech input is in the context of a command, then for each command present in the stored output; i) determining a set of elements required for executing the command; ii) determining if the stored output is sufficiently complete for executing the command, and if so executing the command in a respectively targeted application or process; otherwise: iii) prompting a user for further input and receiving, processing and storing subsequent user input until the stored output and stored subsequent user input are together sufficiently complete for execution of the command or until the process is aborted; and iv) if sufficiently complete for processing, executing the command in a respectively targeted application or process; and b) if the speech input is in the context of a data input, passing a representation of the stored output or an identifier thereof to a contextually appropriate data sink. 13. The method according to claim 8 , wherein said representation of a speech input is at least one of a set of potentially recognized words, a data matrix, a context based data construct, a command structure and a textual representation of the speech input. | 0.680139 |
22. An object entity stored in a non-transitory computer-readable storage medium within an object oriented programming environment for programming functionality for use with a user interface system for a process control system, the object entity comprising: a graphics portion defining graphics for a depiction of a process element via the user interface; a parameters portion identifying configurable aspects of the graphics; and a navigation portion identifying data sources for content to be displayed in connection with the graphics; and a simulation portion defining a method to be implemented to simulate the on-line operation of the process element; wherein the graphics portion, the parameters portion, the navigation portion, and the simulation portion are stored in the computer-readable medium discretely; and wherein the object entity within the object oriented programming environment operates to depict both on-line and simulation operation of the process element that includes displaying data calculated from the simulation via the depiction of the process element in connection with the graphics. | 22. An object entity stored in a non-transitory computer-readable storage medium within an object oriented programming environment for programming functionality for use with a user interface system for a process control system, the object entity comprising: a graphics portion defining graphics for a depiction of a process element via the user interface; a parameters portion identifying configurable aspects of the graphics; and a navigation portion identifying data sources for content to be displayed in connection with the graphics; and a simulation portion defining a method to be implemented to simulate the on-line operation of the process element; wherein the graphics portion, the parameters portion, the navigation portion, and the simulation portion are stored in the computer-readable medium discretely; and wherein the object entity within the object oriented programming environment operates to depict both on-line and simulation operation of the process element that includes displaying data calculated from the simulation via the depiction of the process element in connection with the graphics. 23. The object entity of claim 22 , wherein the computer-readable medium comprises a plurality of memory storage devices, such that the graphics portion, the parameters portion, the navigation portion, and the simulation portion are not stored on a single memory storage device. | 0.690512 |
16. A method for checking a completeness and consistency of an information library for a medical device, the information library being associated with a plurality of modules for the medical device, the plurality of modules having a prescribed configuration structure, the method comprising: providing the information library with a plurality of information packets, each of which contains an information core and a meta-statement which defines the association between the respective information packet and at least one of the plurality of modules; prescribing a context library which comprises a plurality of context units, each of the plurality of the context units containing a reference to a combination of the plurality of modules from the magnetic resonance tomography device, the combination associated with a presence of one of the information packets; checking whether there is an information packet in the information library that corresponds to each context unit within one or more valid configurations of the prescribed configuration structure and determining that the information library is complete when there is an information packet in the information library that corresponds to each context unit within the one or more valid configurations; and checking whether there is only one information packet in the information library that corresponds to each context unit within the one or more valid configurations and determining that the information library is consistent when there is only one information packet in the information library that corresponds to each context unit within the one or more valid configurations. | 16. A method for checking a completeness and consistency of an information library for a medical device, the information library being associated with a plurality of modules for the medical device, the plurality of modules having a prescribed configuration structure, the method comprising: providing the information library with a plurality of information packets, each of which contains an information core and a meta-statement which defines the association between the respective information packet and at least one of the plurality of modules; prescribing a context library which comprises a plurality of context units, each of the plurality of the context units containing a reference to a combination of the plurality of modules from the magnetic resonance tomography device, the combination associated with a presence of one of the information packets; checking whether there is an information packet in the information library that corresponds to each context unit within one or more valid configurations of the prescribed configuration structure and determining that the information library is complete when there is an information packet in the information library that corresponds to each context unit within the one or more valid configurations; and checking whether there is only one information packet in the information library that corresponds to each context unit within the one or more valid configurations and determining that the information library is consistent when there is only one information packet in the information library that corresponds to each context unit within the one or more valid configurations. 17. The method as claimed in claim 16 , wherein the medical device is a magnetic resonance tomography device. | 0.616503 |
10. A method for supporting an organization mode in which a plurality of user interface elements may be organized within a user interface, the method comprising: an act of displaying a canvas on the user interface, the canvas being subdivided into at least an extendable start board portion and a constituent element portion, the extendable start board portion being displayed simultaneously with the constituent element portion on the canvas, wherein: upon selection of any one user interface element in the extendable start board portion, the constituent element portion is updated to include a group of user interface elements that each corresponds to the selected any one user interface element, a size of the constituent element portion is dependent on a size of the extendable start board portion such that as the size of the extendable start board portion increases, the size of the constituent element portion decreases in response, and when the size of the constituent element portion decreases, an appearance of at least some elements in the group of user interface elements included in the constituent element portion is progressively cutoff to coincide with the decreasing size of the constituent element portion; an act of displaying a plurality of user interface elements on the extendable start board portion of the canvas so as to conform to a grid pattern having a plurality of grid positions on the extendable start board portion, each of the plurality of user interface elements fitting over one or more of the grid positions of the plurality of grid positions; an act of entering an organization mode in which the plurality of user interface elements may be organized on the canvas in a manner not permitted outside of the organization mode; after detecting user input directed to at least one user interface element in the plurality while in the organization mode, an act of causing an appearance of at least some remaining user interface elements in the plurality to change such that the appearances are deemphasized, the at least some remaining user interface elements being elements that were not associated with the user input; an act of causing at least some of the plurality of grid positions to be displayed on the canvas while in the organization mode; and while in the organization mode and in response to selecting a particular user interface element, an act of causing a contextual actions menu to appear for the particular user interface element, the contextual actions menu displaying a subset of available commands, the displayed subset of available commands being commands that have been previously identified as being commonly used by a user while the user interacts with the user interface in the organization mode, the contextual actions menu being displayed simultaneously with the particular user interface element. | 10. A method for supporting an organization mode in which a plurality of user interface elements may be organized within a user interface, the method comprising: an act of displaying a canvas on the user interface, the canvas being subdivided into at least an extendable start board portion and a constituent element portion, the extendable start board portion being displayed simultaneously with the constituent element portion on the canvas, wherein: upon selection of any one user interface element in the extendable start board portion, the constituent element portion is updated to include a group of user interface elements that each corresponds to the selected any one user interface element, a size of the constituent element portion is dependent on a size of the extendable start board portion such that as the size of the extendable start board portion increases, the size of the constituent element portion decreases in response, and when the size of the constituent element portion decreases, an appearance of at least some elements in the group of user interface elements included in the constituent element portion is progressively cutoff to coincide with the decreasing size of the constituent element portion; an act of displaying a plurality of user interface elements on the extendable start board portion of the canvas so as to conform to a grid pattern having a plurality of grid positions on the extendable start board portion, each of the plurality of user interface elements fitting over one or more of the grid positions of the plurality of grid positions; an act of entering an organization mode in which the plurality of user interface elements may be organized on the canvas in a manner not permitted outside of the organization mode; after detecting user input directed to at least one user interface element in the plurality while in the organization mode, an act of causing an appearance of at least some remaining user interface elements in the plurality to change such that the appearances are deemphasized, the at least some remaining user interface elements being elements that were not associated with the user input; an act of causing at least some of the plurality of grid positions to be displayed on the canvas while in the organization mode; and while in the organization mode and in response to selecting a particular user interface element, an act of causing a contextual actions menu to appear for the particular user interface element, the contextual actions menu displaying a subset of available commands, the displayed subset of available commands being commands that have been previously identified as being commonly used by a user while the user interacts with the user interface in the organization mode, the contextual actions menu being displayed simultaneously with the particular user interface element. 14. The method of claim 10 , wherein the method further includes: an act of selecting a group of user interface elements; and after selecting the group, an act of causing each user interface element in the group to be acted upon concurrently. | 0.551797 |
14. A system for optimizing a website in accordance with search engine results, comprising: at least one processor; a network interface for receiving data from at least data source; a memory, operatively coupled to the processor for storing logical instructions wherein execution of the logical instructions by the processor results in the performing of at least the following operations: classifying each of a plurality of websites using at least one of a plurality of classifications; acquiring data associated with the plurality of websites, wherein the data includes data pertaining to one or more ranked positions within a range of ranked positions that are associated with the plurality of websites and associated with one or more search engine results with respect to one or more keywords; wherein the data pertaining to one or more ranked positions includes a first number of ranked positions associated with at least one website of the one or more websites; and analyzing the data to achieve a result. | 14. A system for optimizing a website in accordance with search engine results, comprising: at least one processor; a network interface for receiving data from at least data source; a memory, operatively coupled to the processor for storing logical instructions wherein execution of the logical instructions by the processor results in the performing of at least the following operations: classifying each of a plurality of websites using at least one of a plurality of classifications; acquiring data associated with the plurality of websites, wherein the data includes data pertaining to one or more ranked positions within a range of ranked positions that are associated with the plurality of websites and associated with one or more search engine results with respect to one or more keywords; wherein the data pertaining to one or more ranked positions includes a first number of ranked positions associated with at least one website of the one or more websites; and analyzing the data to achieve a result. 26. The system of claim 14 , wherein the classifying includes classifying at least one of the plurality of websites based on a business relationship between each of the at least one of the plurality of websites and a user. | 0.5491 |
1. In a computing system that includes a processor, data storage, and input/output devices including a network interface device, and an operating system, a method for analyzing effectiveness and accuracy of a file detection rule, the method comprising: obtaining, by the computing system, the detection rule, wherein the detection rule defines criteria for distinguishing files having at least one characteristic of interest from other files lacking the at least one characteristic of interest; applying, by the computing system, the detection rule to a set of unknown files, wherein prior to the applying of the detection rule, the at least one characteristic of interest is initially undetermined for each file of the set of unknown files; wherein as a result of the applying of the detection rule, a result set is generated that contains files detected from among the set of unknown files as having the at least one characteristic of interest and excludes the other files lacking the at least one characteristic of interest; comparing, by the computing system, each file from the result set to at least one file from a first set of known files known to have the at least one characteristic of interest to produce a first measure of similarity, and to at least one file from a second set of known files known to lack the at least one characteristic of interest to produce a second measure of similarity; wherein in response to the first measure of similarity exceeding a first similarity threshold, the detection rule is deemed effective; and wherein in response to the second measure of similarity exceeding a second similarity threshold, the detection rule is deemed inaccurate. | 1. In a computing system that includes a processor, data storage, and input/output devices including a network interface device, and an operating system, a method for analyzing effectiveness and accuracy of a file detection rule, the method comprising: obtaining, by the computing system, the detection rule, wherein the detection rule defines criteria for distinguishing files having at least one characteristic of interest from other files lacking the at least one characteristic of interest; applying, by the computing system, the detection rule to a set of unknown files, wherein prior to the applying of the detection rule, the at least one characteristic of interest is initially undetermined for each file of the set of unknown files; wherein as a result of the applying of the detection rule, a result set is generated that contains files detected from among the set of unknown files as having the at least one characteristic of interest and excludes the other files lacking the at least one characteristic of interest; comparing, by the computing system, each file from the result set to at least one file from a first set of known files known to have the at least one characteristic of interest to produce a first measure of similarity, and to at least one file from a second set of known files known to lack the at least one characteristic of interest to produce a second measure of similarity; wherein in response to the first measure of similarity exceeding a first similarity threshold, the detection rule is deemed effective; and wherein in response to the second measure of similarity exceeding a second similarity threshold, the detection rule is deemed inaccurate. 4. The method of claim 1 , wherein in obtaining the detection rule, the at least one characteristic of interest includes a type identifier of an executable file. | 0.908681 |
1. A method of Chinese text input whereby a user of a computer configured for non-phonetic input of Chinese characters who knows the pronunciation of a desired character can enter the desired Chinese character by using non-phonetic entry of a Chinese character that rhymes with the desired Chinese character, the method comprising: grouping Chinese characters that rhyme and creating within these groups of Chinese characters that rhyme one or more sub-groups of one or more characters which not only rhyme but also share the same initial sound; designating an index Chinese character for each of the one or more sub-groups of one or more Chinese characters which not only rhyme but also share the same initial sound; receiving signals from a user input device indicating non-phonetic entry of a Chinese character by the user; receiving an indication from the user via the user input device indicating that the Chinese character entered using non-phonetic entry is a rhyme of the desired Chinese character; displaying on the computer, for user selection of an index character, the index Chinese character for each of the one or more sub-groups which not only rhyme with the entered character and the desired character but also share the same initial sound as the entered character and the desired character; displaying on the computer the desired Chinese character for user selection from among one or more Chinese characters displayed as a result of the user having selected an index character; and wherein the user indicates that the entered character is a rhyme of the desired character prior to or after entering the rhyming character. | 1. A method of Chinese text input whereby a user of a computer configured for non-phonetic input of Chinese characters who knows the pronunciation of a desired character can enter the desired Chinese character by using non-phonetic entry of a Chinese character that rhymes with the desired Chinese character, the method comprising: grouping Chinese characters that rhyme and creating within these groups of Chinese characters that rhyme one or more sub-groups of one or more characters which not only rhyme but also share the same initial sound; designating an index Chinese character for each of the one or more sub-groups of one or more Chinese characters which not only rhyme but also share the same initial sound; receiving signals from a user input device indicating non-phonetic entry of a Chinese character by the user; receiving an indication from the user via the user input device indicating that the Chinese character entered using non-phonetic entry is a rhyme of the desired Chinese character; displaying on the computer, for user selection of an index character, the index Chinese character for each of the one or more sub-groups which not only rhyme with the entered character and the desired character but also share the same initial sound as the entered character and the desired character; displaying on the computer the desired Chinese character for user selection from among one or more Chinese characters displayed as a result of the user having selected an index character; and wherein the user indicates that the entered character is a rhyme of the desired character prior to or after entering the rhyming character. 5. The method of claim 1 wherein the user indicates that the Chinese character entered is a rhyme of the desired character by making a handwriting movement. | 0.524464 |
1. A method comprising: displaying text on a touch screen in an original configuration; detecting a touch associated with a first area of the touch screen; displaying an enlarged view of the first area comprising at least two characters of the text; detecting selection of a first character from the at least two characters; resuming the original configuration after detecting the selection of the first character, wherein the first character is shown as designated text when the original configuration is resumed. | 1. A method comprising: displaying text on a touch screen in an original configuration; detecting a touch associated with a first area of the touch screen; displaying an enlarged view of the first area comprising at least two characters of the text; detecting selection of a first character from the at least two characters; resuming the original configuration after detecting the selection of the first character, wherein the first character is shown as designated text when the original configuration is resumed. 12. The method of claim 1 , further comprising performing a text editing function on the designated text. | 0.924716 |
21. The article of claim 20 , wherein the database query contains plural set clauses, wherein the instructions when executed cause the database system to further combine at least some of the set clauses to remove the redundant invocations. | 21. The article of claim 20 , wherein the database query contains plural set clauses, wherein the instructions when executed cause the database system to further combine at least some of the set clauses to remove the redundant invocations. 23. The article of claim 21 , wherein each set clause has a format Target.Method, wherein the instructions when executed cause the database system to further combine set clauses containing a common Target value into one combined set clause. | 0.681159 |
1. A method for managing state data of a service in a service-oriented architecture by establishing a pluggable meta-data processor comprising: establishing a platform independent, extensible meta-data information model to define meta-data about the state data of the service; establishing an extensible meta-data definition comprising an extensible set of attributes of the state data of the service, so as to enable the service to extend its state with change notification semantics; configuring one or more extensible semantic processors for interpreting the semantics of a state change query created and sent by a requesting client directly to the service, wherein query language and the one or more semantic processors are each chosen by the client, and which state change query is forwarded from the service to a client-chosen semantic processor; configuring a controller meta-data processor; and defining contracts among said semantic processors. | 1. A method for managing state data of a service in a service-oriented architecture by establishing a pluggable meta-data processor comprising: establishing a platform independent, extensible meta-data information model to define meta-data about the state data of the service; establishing an extensible meta-data definition comprising an extensible set of attributes of the state data of the service, so as to enable the service to extend its state with change notification semantics; configuring one or more extensible semantic processors for interpreting the semantics of a state change query created and sent by a requesting client directly to the service, wherein query language and the one or more semantic processors are each chosen by the client, and which state change query is forwarded from the service to a client-chosen semantic processor; configuring a controller meta-data processor; and defining contracts among said semantic processors. 4. The method of claim 1 , wherein said extensible meta-data information model provides meta-data syntax to ensure validation, versioning, compatibility, and consistency and wherein said meta-data information model is indicative of schema or meta-data for the state data of the service. | 0.852971 |
6. The method of claim 1 further comprising associating the media information with at least one search term in a database of search terms. | 6. The method of claim 1 further comprising associating the media information with at least one search term in a database of search terms. 8. The method of claim 6 further comprising editorially associating the media information with at least one of the search terms. | 0.925691 |
2. The device according to claim 1 , wherein the processor further determines that the current emotional state of the audio signal changes to the other emotional state of the plurality of emotional states when the emotional state of one of the plurality of segments is the other emotional state with the confidence score of the emotional state of the one of the plurality of segments being greater than the predetermined threshold. | 2. The device according to claim 1 , wherein the processor further determines that the current emotional state of the audio signal changes to the other emotional state of the plurality of emotional states when the emotional state of one of the plurality of segments is the other emotional state with the confidence score of the emotional state of the one of the plurality of segments being greater than the predetermined threshold. 4. The device according to claim 2 , wherein the predetermined number of the plurality of segments is inconsecutive and within a predetermined time frame in the audio signal. | 0.875283 |
15. A system for processing e-mails, the system comprising: a processor; and a memory coupled to the processor, the memory configured to store a set of instructions which when executed by the processor configure the processor to: receive a plurality of e-mails obtained from an e-mail repository; store information representing each e-mail in the plurality of e-mails, stored information representing a given e-mail including at least one of content of the given e-mail and message attribute data of the given e-mail; for each e-mail in the plurality of e-mails, determine a set of noun phrases included in the e-mail based on stored information representing the e-mail, and generate a feature representation for the e-mail based on the determined set of noun phrases included in the e-mail, a feature representation for a given e-mail scoring selected noun phrases in a set of noun phrases determined to be included in the given e-mail; generate a set of topics based on the feature representation generated for each e-mail in the plurality of e-mails; and store each topic in the set of topics in association with at least some of the plurality of e-mails. | 15. A system for processing e-mails, the system comprising: a processor; and a memory coupled to the processor, the memory configured to store a set of instructions which when executed by the processor configure the processor to: receive a plurality of e-mails obtained from an e-mail repository; store information representing each e-mail in the plurality of e-mails, stored information representing a given e-mail including at least one of content of the given e-mail and message attribute data of the given e-mail; for each e-mail in the plurality of e-mails, determine a set of noun phrases included in the e-mail based on stored information representing the e-mail, and generate a feature representation for the e-mail based on the determined set of noun phrases included in the e-mail, a feature representation for a given e-mail scoring selected noun phrases in a set of noun phrases determined to be included in the given e-mail; generate a set of topics based on the feature representation generated for each e-mail in the plurality of e-mails; and store each topic in the set of topics in association with at least some of the plurality of e-mails. 20. The system of claim 15 wherein the processor is further configured to: rank each topic in the set of topics; and generating information configured for displaying selected topics in the set of topics according to the rank of the selected topics. | 0.835317 |
1. A phonetic E-mail reader comprising: a speech synthesizer for converting text data delivered thereto into vocal data corresponding to said text data; quotation code storing means for storing quotation codes used for indicating a quotation line in an E-mail text, said quotation codes being found at a top of said quotation line, said E-mail text including communication lines not having quotation codes; and quotation code elimination means for detecting and eliminating at least one of said quotation codes inserted at tops of quotation lines in E-mail texts referring to said quotation code storing means, and for passing on communication lines and quotation lines with said quotation codes eliminated to said speech synthesizer to be converted into vocal data corresponding thereto. | 1. A phonetic E-mail reader comprising: a speech synthesizer for converting text data delivered thereto into vocal data corresponding to said text data; quotation code storing means for storing quotation codes used for indicating a quotation line in an E-mail text, said quotation codes being found at a top of said quotation line, said E-mail text including communication lines not having quotation codes; and quotation code elimination means for detecting and eliminating at least one of said quotation codes inserted at tops of quotation lines in E-mail texts referring to said quotation code storing means, and for passing on communication lines and quotation lines with said quotation codes eliminated to said speech synthesizer to be converted into vocal data corresponding thereto. 6. A phonetic E-mail reader as recited in claim 1, further comprising: communication parameter storing means for storing values of parameters to be delivered to said speech synthesizer for determining features of vocal data into which said communication lines are to be converted; quotation parameter storing means for storing values of parameters to be delivered to said speech synthesizer for determining features of vocal data into which quotation lines are to be converted; and a selector for selecting said communication parameter storing means for delivering parameter values stored therein to said speech synthesizer when said communication lines are supplied to said speech synthesizer, and for selecting said quotation parameter storing means for delivering parameter values stored therein to said speech synthesizer, when said quotation lines are supplied to said speech synthesizer, said selector being controlled by said quotation code elimination means. | 0.58741 |
1. A device, comprising: a web page live styler configured to cause the device to perform the operations of: parsing a meta-language style sheet comprising at least one meta-language style sheet variable declaration and at least one meta-language style sheet rule definition referencing the at least one meta-language style sheet variable; generating, based on the parsing, an intermediate representation of the meta-language style sheet variable declaration and an intermediate representation of the meta-language style sheet rule definition; generating executable code based at least on both the intermediate representation of the meta-language style sheet variable declaration and the intermediate representation of the meta-language style sheet rule definition; executing the executable code to produce a web browser style sheet; and updating display of a web page using the web browser style sheet. | 1. A device, comprising: a web page live styler configured to cause the device to perform the operations of: parsing a meta-language style sheet comprising at least one meta-language style sheet variable declaration and at least one meta-language style sheet rule definition referencing the at least one meta-language style sheet variable; generating, based on the parsing, an intermediate representation of the meta-language style sheet variable declaration and an intermediate representation of the meta-language style sheet rule definition; generating executable code based at least on both the intermediate representation of the meta-language style sheet variable declaration and the intermediate representation of the meta-language style sheet rule definition; executing the executable code to produce a web browser style sheet; and updating display of a web page using the web browser style sheet. 2. The device of claim 1 , wherein the meta-language style sheet variable declaration comprises a name of the meta-language style sheet variable and a value of the meta-language style sheet variable. | 0.657155 |
10. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a data processing system implementing a Question and Answer (QA) system having a plurality of QA system pipelines, causes the data processing system to: receive an input question for processing by the QA system; determine a predicted question difficulty for generating an answer to the input question based on at least one feature extracted from the input question and a correlation of the at least one feature with a predicted level of question difficulty, wherein the predicted question difficulty is indicative of a predicted amount of time required to process the input question to generate an answer to the input question via a QA system pipeline in the plurality of QA system pipelines; and perform load balancing of question processing at least by: select a QA system pipeline from the plurality of QA system pipelines based on the predicted question difficulty; route the input question to the selected QA system pipeline for processing; and process the input question by the selected QA system pipeline to generate an answer for the input question. | 10. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a data processing system implementing a Question and Answer (QA) system having a plurality of QA system pipelines, causes the data processing system to: receive an input question for processing by the QA system; determine a predicted question difficulty for generating an answer to the input question based on at least one feature extracted from the input question and a correlation of the at least one feature with a predicted level of question difficulty, wherein the predicted question difficulty is indicative of a predicted amount of time required to process the input question to generate an answer to the input question via a QA system pipeline in the plurality of QA system pipelines; and perform load balancing of question processing at least by: select a QA system pipeline from the plurality of QA system pipelines based on the predicted question difficulty; route the input question to the selected QA system pipeline for processing; and process the input question by the selected QA system pipeline to generate an answer for the input question. 14. The computer program product of claim 10 , wherein the level of difficulty of processing each of the one or more groups of training questions comprises determining the level of difficulty based on a combination of an amount of time required to extract features from a question and an amount of time required to generate an answer to the question from a corpus of data. | 0.650351 |
1. A method comprising: monitoring actions associated with users connected to a target user in a social networking system; responsive to identifying a first action associated with a first user connected to the target user, updating a news ticker interface in real time to display the first action and the associated first user as a story within the news ticker interface, the news ticker interface displaying a plurality of stories; and responsive to receiving a selection of a displayed story from a user within the news ticker interface: displaying a story interface containing additional information related to the context of the selected story; identifying a second action of a second user connected to the first user associated with the selected story; and displaying information related to the second action in the story interface. | 1. A method comprising: monitoring actions associated with users connected to a target user in a social networking system; responsive to identifying a first action associated with a first user connected to the target user, updating a news ticker interface in real time to display the first action and the associated first user as a story within the news ticker interface, the news ticker interface displaying a plurality of stories; and responsive to receiving a selection of a displayed story from a user within the news ticker interface: displaying a story interface containing additional information related to the context of the selected story; identifying a second action of a second user connected to the first user associated with the selected story; and displaying information related to the second action in the story interface. 13. The method of claim 1 , wherein the selected story comprises a communication, and wherein the displayed additional information comprises additional communications related to the communication. | 0.571009 |
13. One or more non-transitory computer-readable media storing instructions for providing speculative search results, wherein the instructions, when executed by one or more processors, causes: receiving, at a search engine, over a network from a client node, a not-yet-submitted search query provided by a user; in response to receiving at the search engine, from the client node, the not-yet-submitted search query, determining, at the search engine, whether the not-yet-submitted search query meets a criterion for initiating a speculative search for items that satisfy the not-yet-submitted search query; in response to determining, at the search engine, that the not-yet-submitted search query does not meet the criterion, waiting for additional input from the client node without initiating the speculative search for items that satisfy the not-yet-submitted search query; receiving, at the search engine, over the network, from the client node, an updated not-yet-submitted search query that comprises the not-yet-submitted search query and one or more additional characters; in response to receiving, at the search engine, from the client node, the updated not-yet-submitted search query, determining, at the search engine, whether the updated not-yet-submitted search query meets the criterion for initiating a speculative search for items that satisfy the updated not-yet-submitted search query; in response to determining, at the search engine, that the updated not-yet-submitted search query meets the criterion, performing, at the search engine, the speculative search for items that satisfy said updated not-yet-submitted search query prior to receiving, from said client node, an indication that said updated not-yet-submitted search query is completely formed; providing, from the search engine, to said client node, information about to at least one item, found by the speculative search, that satisfies said updated not-yet submitted search query; wherein the at least one item, found by the speculative search, includes at least one of (a) a web page, (b) a graphic, or (c) textual information. | 13. One or more non-transitory computer-readable media storing instructions for providing speculative search results, wherein the instructions, when executed by one or more processors, causes: receiving, at a search engine, over a network from a client node, a not-yet-submitted search query provided by a user; in response to receiving at the search engine, from the client node, the not-yet-submitted search query, determining, at the search engine, whether the not-yet-submitted search query meets a criterion for initiating a speculative search for items that satisfy the not-yet-submitted search query; in response to determining, at the search engine, that the not-yet-submitted search query does not meet the criterion, waiting for additional input from the client node without initiating the speculative search for items that satisfy the not-yet-submitted search query; receiving, at the search engine, over the network, from the client node, an updated not-yet-submitted search query that comprises the not-yet-submitted search query and one or more additional characters; in response to receiving, at the search engine, from the client node, the updated not-yet-submitted search query, determining, at the search engine, whether the updated not-yet-submitted search query meets the criterion for initiating a speculative search for items that satisfy the updated not-yet-submitted search query; in response to determining, at the search engine, that the updated not-yet-submitted search query meets the criterion, performing, at the search engine, the speculative search for items that satisfy said updated not-yet-submitted search query prior to receiving, from said client node, an indication that said updated not-yet-submitted search query is completely formed; providing, from the search engine, to said client node, information about to at least one item, found by the speculative search, that satisfies said updated not-yet submitted search query; wherein the at least one item, found by the speculative search, includes at least one of (a) a web page, (b) a graphic, or (c) textual information. 15. The one or more non-transitory computer-readable media of claim 13 , wherein said criterion comprises said updated not-yet-submitted search query matching a phrase in a dictionary of pre-defined phrases. | 0.59485 |
31. One or more computer storage media comprising instructions that, when executed, direct a computing device to perform a method, the method comprising: invoking a preference entry page, wherein the preference entry page comprises: at least one program attribute value associated with a program identified in an electronic programming guide (EPG); a preference rating area associated with each program attribute value through which a preference rating may be indicated, the preference rating indicating a user like or dislike for the program attribute value associated with the preference rating area, wherein the preference entry page associated with the program is invoked by the user from the EPG; and a save control, that when actuated, facilitates storage of each indicated preference rating and corresponding program attribute value, wherein entering and storing the preference rating indicates that the program attribute value associated with the preference rating is a preferred program attribute value; and associating a numerical significance value with each preferred program attribute value, each numerical significance value denoting a relative importance of each preferred program attribute value with regard to each other preferred program attribute value, wherein for each preferred program attribute value that matches an attribute value of an upcoming program, the associated numerical significance value and the associated preference rating facilitate calculation of a program score for the upcoming program. | 31. One or more computer storage media comprising instructions that, when executed, direct a computing device to perform a method, the method comprising: invoking a preference entry page, wherein the preference entry page comprises: at least one program attribute value associated with a program identified in an electronic programming guide (EPG); a preference rating area associated with each program attribute value through which a preference rating may be indicated, the preference rating indicating a user like or dislike for the program attribute value associated with the preference rating area, wherein the preference entry page associated with the program is invoked by the user from the EPG; and a save control, that when actuated, facilitates storage of each indicated preference rating and corresponding program attribute value, wherein entering and storing the preference rating indicates that the program attribute value associated with the preference rating is a preferred program attribute value; and associating a numerical significance value with each preferred program attribute value, each numerical significance value denoting a relative importance of each preferred program attribute value with regard to each other preferred program attribute value, wherein for each preferred program attribute value that matches an attribute value of an upcoming program, the associated numerical significance value and the associated preference rating facilitate calculation of a program score for the upcoming program. 39. The one or more computer storage media as recited in claim 31 , wherein the preference entry page further comprises a content block that includes one or more content attribute values associated with the program that can be preference rated. | 0.727957 |
19. A computer system comprising: a rule repository operable for storing data quality rules; a graphical user interface comprising a display window and capable of receiving a data set, said data set comprising a plurality of records comprising a plurality of attributes and a plurality of values for said attributes, said plurality of attributes comprising attributes having multiple values, an ontology comprising links that indicate which of said attributes are related, and a set of rule generation parameters; a data quality rules discovery engine capable of receiving said data set, said ontology, and said set of rule generation parameters from said user interface, generating said set of data quality rules, and sending said set of data quality rules to said rule repository, wherein data quality rules generated by said data quality rules discovery engine are displayed in said display window; wherein said data quality rules discovery engine formulates a set of candidate conditional functional dependencies based on a set of candidate seeds by using said ontology, said candidate seeds comprising instances of related attributes; and wherein said data quality rules discovery engine refines said set of candidate conditional functional dependencies by: incrementing a first count of records in a first subset of said plurality of records that are consistent with a conditional functional dependency, wherein all values in a pattern tuple of said conditional functional dependency match respective values in a record that is consistent with said conditional functional dependency; incrementing a second count of records in said first subset of said plurality of records that are inconsistent with said conditional functional dependency, wherein all values in a pattern tuple of the antecedent of said conditional functional dependency match respective values, but values in said pattern tuple of the consequent of said conditional functional dependency do not match respective values, in a record that is inconsistent with said conditional functional dependency; incrementing a third count of records in said first subset of said plurality of records that are not consistent with said conditional functional dependency and are not inconsistent with said conditional functional dependency; determining whether a first measure based on said first and third counts satisfies a first threshold value, wherein if said first measure fails to satisfy said first threshold value then a condition is removed from said antecedent of said conditional functional dependency and said refining then continues for a second subset of said plurality of records; and determining whether a second measure based on said second and third counts satisfies a second threshold value, wherein if said second measure fails to satisfy said second threshold value then said first measure is reduced and said refining then continues for said second subset of said plurality of records; wherein said data quality rules discovery engine terminates refining of said set of candidate conditional functional dependencies when said set of conditional functional dependencies reaches a quiescent state and becomes said data quality rules. | 19. A computer system comprising: a rule repository operable for storing data quality rules; a graphical user interface comprising a display window and capable of receiving a data set, said data set comprising a plurality of records comprising a plurality of attributes and a plurality of values for said attributes, said plurality of attributes comprising attributes having multiple values, an ontology comprising links that indicate which of said attributes are related, and a set of rule generation parameters; a data quality rules discovery engine capable of receiving said data set, said ontology, and said set of rule generation parameters from said user interface, generating said set of data quality rules, and sending said set of data quality rules to said rule repository, wherein data quality rules generated by said data quality rules discovery engine are displayed in said display window; wherein said data quality rules discovery engine formulates a set of candidate conditional functional dependencies based on a set of candidate seeds by using said ontology, said candidate seeds comprising instances of related attributes; and wherein said data quality rules discovery engine refines said set of candidate conditional functional dependencies by: incrementing a first count of records in a first subset of said plurality of records that are consistent with a conditional functional dependency, wherein all values in a pattern tuple of said conditional functional dependency match respective values in a record that is consistent with said conditional functional dependency; incrementing a second count of records in said first subset of said plurality of records that are inconsistent with said conditional functional dependency, wherein all values in a pattern tuple of the antecedent of said conditional functional dependency match respective values, but values in said pattern tuple of the consequent of said conditional functional dependency do not match respective values, in a record that is inconsistent with said conditional functional dependency; incrementing a third count of records in said first subset of said plurality of records that are not consistent with said conditional functional dependency and are not inconsistent with said conditional functional dependency; determining whether a first measure based on said first and third counts satisfies a first threshold value, wherein if said first measure fails to satisfy said first threshold value then a condition is removed from said antecedent of said conditional functional dependency and said refining then continues for a second subset of said plurality of records; and determining whether a second measure based on said second and third counts satisfies a second threshold value, wherein if said second measure fails to satisfy said second threshold value then said first measure is reduced and said refining then continues for said second subset of said plurality of records; wherein said data quality rules discovery engine terminates refining of said set of candidate conditional functional dependencies when said set of conditional functional dependencies reaches a quiescent state and becomes said data quality rules. 20. The computer system from claim 19 , said graphical user interface further capable of displaying and receiving said rule generation parameters, an address of said data set, an address of a related data set, and an address of said ontology, and said set of data quality rules; and wherein said rule generation parameters can be adjusted by the user through said graphical user interface. | 0.522715 |
1. An audio signal segmentation algorithm comprising: providing an audio signal; applying an audio activity detection (AAD) step to divide the audio signal into at least one first audio segment and at least one second audio segment, wherein the audio activity detection step further comprises: dividing the audio signal into a plurality of frames; applying a frequency transformation step to signals in each of the frames to obtain a plurality of bands in each frame; performing a likelihood computation step to the bands and a noise parameter to obtain a likelihood ratio therebetween; performing a comparison step to the likelihood ratio and a noise threshold, if the noise threshold is greater than the likelihood ratio, the bands belonging to a first frame, and if the likelihood ratio is greater than the noise threshold, the bands belonging to a second frame wherein the first frame belongs to the first audio segment and the second frame belongs to the second audio segment; and when a distance between two adjacent second frames is smaller than a predetermined value, combining the two adjacent second frames to compose the second audio segment, performing an audio feature extraction step on the second audio segment to obtain a plurality of audio features of the second audio segment; applying a smoothing step to the second audio segment after the audio feature extraction step; and discriminating a plurality of speech frames and a plurality of music frames from the second audio segment wherein the speech frames and the music frames compose at least one speech segment and at least one music segment, respectively. | 1. An audio signal segmentation algorithm comprising: providing an audio signal; applying an audio activity detection (AAD) step to divide the audio signal into at least one first audio segment and at least one second audio segment, wherein the audio activity detection step further comprises: dividing the audio signal into a plurality of frames; applying a frequency transformation step to signals in each of the frames to obtain a plurality of bands in each frame; performing a likelihood computation step to the bands and a noise parameter to obtain a likelihood ratio therebetween; performing a comparison step to the likelihood ratio and a noise threshold, if the noise threshold is greater than the likelihood ratio, the bands belonging to a first frame, and if the likelihood ratio is greater than the noise threshold, the bands belonging to a second frame wherein the first frame belongs to the first audio segment and the second frame belongs to the second audio segment; and when a distance between two adjacent second frames is smaller than a predetermined value, combining the two adjacent second frames to compose the second audio segment, performing an audio feature extraction step on the second audio segment to obtain a plurality of audio features of the second audio segment; applying a smoothing step to the second audio segment after the audio feature extraction step; and discriminating a plurality of speech frames and a plurality of music frames from the second audio segment wherein the speech frames and the music frames compose at least one speech segment and at least one music segment, respectively. 2. The audio signal segmentation algorithm according to claim 1 , wherein the frequency transformation step is proceeding a Fourier Transform. | 0.662796 |
5. The method of claim 1 , wherein the act (D) further comprises: (D1) receiving input from a user via a graphical user interface (GUI) defining a pattern, the pattern comprising a representation of one or more concepts; (D2) comparing the pattern to the word alternatives; and (D3) causing an indication of a match between the pattern and any one or more of the word alternatives to be stored in an electronic file storage. | 5. The method of claim 1 , wherein the act (D) further comprises: (D1) receiving input from a user via a graphical user interface (GUI) defining a pattern, the pattern comprising a representation of one or more concepts; (D2) comparing the pattern to the word alternatives; and (D3) causing an indication of a match between the pattern and any one or more of the word alternatives to be stored in an electronic file storage. 6. The method of claim 5 , wherein the word alternatives comprise a plurality of data segments, (D1) further comprises receiving input from the user defining a threshold score and a plurality of patterns each assigned a pattern score, (D2) further comprises comparing the plurality of patterns to the data segments, and (D3) further comprises assigning a pattern score to a data segment when one of the plurality of patterns matches the data segment, and causing an indication of a segment match to be stored when a sum of the pattern scores assigned to the data segment meets or exceeds the threshold score. | 0.802183 |
1. A method, in a data processing system comprising a processor and a memory, for performing context based synonym filtering for natural language processing, the method comprising: parsing, by the data processing system, content into one or more conceptual units, wherein each conceptual unit comprises a portion of text of the content that is associated with a single concept; for each conceptual unit in the one or more conceptual units, identifying, by the data processing system, a term in the conceptual unit that has a synonym to be utilized during natural language processing of the content; determining, by the data processing system, a first measure of relatedness of the term to at least one other term in the conceptual unit; determining, by the data processing system, a second measure of relatedness of the synonym of the term to the at least one other term in the conceptual unit; determining, by the data processing system, whether or not to utilize the synonym when performing natural language processing on the conceptual unit, based on the first measure of relatedness and second measure of relatedness; and performing, by the data processing system, natural language processing on the content based on results of determining whether or not to utilize the synonym, wherein the first measure of relatedness is calculated as the sum, from 1 to N, where N is a number of remaining words in the conceptual unit, of the quantity 1/N*(f(Wn, ORIG)), where f( ) is a semantic distance function, W is the set of remaining words in the conceptual unit, and ORIG is the term, and wherein the second measure of relatedness is calculated as the sum, from 1 to N, of the quantity alpha*1/N*(f(Wn, SYN)), where alpha is a constant, and SYN is the synonym, wherein determining whether or not to utilize the synonym when performing natural language processing on the conceptual unit comprises: comparing the first measure of relatedness to the second measure of relatedness using the following relationship: ∑ n = 1 N 1 N f ( W n , ORIG ) ≤ ∑ n = 1 N α 1 N f ( W n , SYN ) { pass fail } ; and determining to utilize the synonym when performing natural language processing on the conceptual unit in response to the relationship being satisfied. | 1. A method, in a data processing system comprising a processor and a memory, for performing context based synonym filtering for natural language processing, the method comprising: parsing, by the data processing system, content into one or more conceptual units, wherein each conceptual unit comprises a portion of text of the content that is associated with a single concept; for each conceptual unit in the one or more conceptual units, identifying, by the data processing system, a term in the conceptual unit that has a synonym to be utilized during natural language processing of the content; determining, by the data processing system, a first measure of relatedness of the term to at least one other term in the conceptual unit; determining, by the data processing system, a second measure of relatedness of the synonym of the term to the at least one other term in the conceptual unit; determining, by the data processing system, whether or not to utilize the synonym when performing natural language processing on the conceptual unit, based on the first measure of relatedness and second measure of relatedness; and performing, by the data processing system, natural language processing on the content based on results of determining whether or not to utilize the synonym, wherein the first measure of relatedness is calculated as the sum, from 1 to N, where N is a number of remaining words in the conceptual unit, of the quantity 1/N*(f(Wn, ORIG)), where f( ) is a semantic distance function, W is the set of remaining words in the conceptual unit, and ORIG is the term, and wherein the second measure of relatedness is calculated as the sum, from 1 to N, of the quantity alpha*1/N*(f(Wn, SYN)), where alpha is a constant, and SYN is the synonym, wherein determining whether or not to utilize the synonym when performing natural language processing on the conceptual unit comprises: comparing the first measure of relatedness to the second measure of relatedness using the following relationship: ∑ n = 1 N 1 N f ( W n , ORIG ) ≤ ∑ n = 1 N α 1 N f ( W n , SYN ) { pass fail } ; and determining to utilize the synonym when performing natural language processing on the conceptual unit in response to the relationship being satisfied. 3. The method of claim 1 , wherein determining whether or not to utilize the synonym when performing natural language processing on the conceptual unit comprises: comparing the first measure of relatedness to the second measure of relatedness; and determining to utilize the synonym when performing natural language processing on the conceptual unit in response to the first measure having a specified relationship to the second measure. | 0.5059 |
1. A method for multimedia information retrieval comprising: querying a multimedia collection with a first component of a multimedia query to generate first comparison measures between the first query component and respective objects in the collection for a first media type; querying at least a part of the multimedia collection with a second component of the multimedia query to generate second comparison measures between the second query component and respective objects in the collection for a second media type; computing an aggregated score for each of a set of objects in the collection based on the first comparison measure and the second comparison measure for the object, the computing comprising applying an aggregating function to the first and second comparison measures in which a first confidence weighting is applied to the first comparison measure and a second confidence weighting is applied to the second comparison measure, the first confidence weighting is independent of the second comparison measure and the second confidence weighting is dependent on the first comparison measure; and outputting information based on the aggregated scores, wherein the aggregated score is computed using an aggregating function of general format:
s cw ( q,o )= A ( N ( s a ( q,o )ƒ), N ( s b ( q,o ) g )) (3) where S cw , is the aggregated score; A represents the aggregating function; a represents the first media type; b represents the second media type; s a (q,o) and s b (q,o) are similarity scores between the query q and the object o for the first and second media types respectively; r a (o,q) and r b (o,q) are rankings of the object o given by the respective similarity scores s a (q,o) and s b (q,o), with respect to other objects in the collection; ƒ is a function of at least one of r a (o,q) and s a (q,o) and optionally also of θ a ; g is a function of at least one of r a (o,q) and s a (q,o) and at least one of s b (q,o) and r b (o,q) and optionally also of θ b ; θ a is a set of one or more parameters; θ b is a set of one or more parameters; and N represents an optional normalizing operator, wherein at least one of: f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { 1 if r t ( o , q ) ≤ K 0 otherwise ; f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { log ( K - r t ( o , q ) + 1 ) log ( K ) if r t ( o , q ) < K 0 otherwise ; f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { x ( K + 1 ) ( K + r t ( o , q ) ) - y if r t ( o , q ) < K 0 otherwise ; and f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { s t ( o , q ) δ if r t ( o , q ) < K 0 otherwise is applied in the aggregating function, where K represents a number of retrieved objects, and x, y and δ are each a parameter whose value is preselected. | 1. A method for multimedia information retrieval comprising: querying a multimedia collection with a first component of a multimedia query to generate first comparison measures between the first query component and respective objects in the collection for a first media type; querying at least a part of the multimedia collection with a second component of the multimedia query to generate second comparison measures between the second query component and respective objects in the collection for a second media type; computing an aggregated score for each of a set of objects in the collection based on the first comparison measure and the second comparison measure for the object, the computing comprising applying an aggregating function to the first and second comparison measures in which a first confidence weighting is applied to the first comparison measure and a second confidence weighting is applied to the second comparison measure, the first confidence weighting is independent of the second comparison measure and the second confidence weighting is dependent on the first comparison measure; and outputting information based on the aggregated scores, wherein the aggregated score is computed using an aggregating function of general format:
s cw ( q,o )= A ( N ( s a ( q,o )ƒ), N ( s b ( q,o ) g )) (3) where S cw , is the aggregated score; A represents the aggregating function; a represents the first media type; b represents the second media type; s a (q,o) and s b (q,o) are similarity scores between the query q and the object o for the first and second media types respectively; r a (o,q) and r b (o,q) are rankings of the object o given by the respective similarity scores s a (q,o) and s b (q,o), with respect to other objects in the collection; ƒ is a function of at least one of r a (o,q) and s a (q,o) and optionally also of θ a ; g is a function of at least one of r a (o,q) and s a (q,o) and at least one of s b (q,o) and r b (o,q) and optionally also of θ b ; θ a is a set of one or more parameters; θ b is a set of one or more parameters; and N represents an optional normalizing operator, wherein at least one of: f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { 1 if r t ( o , q ) ≤ K 0 otherwise ; f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { log ( K - r t ( o , q ) + 1 ) log ( K ) if r t ( o , q ) < K 0 otherwise ; f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { x ( K + 1 ) ( K + r t ( o , q ) ) - y if r t ( o , q ) < K 0 otherwise ; and f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { s t ( o , q ) δ if r t ( o , q ) < K 0 otherwise is applied in the aggregating function, where K represents a number of retrieved objects, and x, y and δ are each a parameter whose value is preselected. 5. The method of claim 1 , wherein the second media type comprises images and the second component of the multimedia query is an image-based query component. | 0.519085 |
14. A system, comprising: a video input source configured to provide image data; a processor; and a memory containing a program, which, when executed on the processor is configured to perform an operation that identifies anomaly object types during classification of image data captured by a video camera, the operation comprising: receiving a micro-feature vector including multiple micro-feature values, each micro-feature value based on at least one pixel-level characteristic of a foreground patch that depicts a foreground object within the image data; classifying the foreground object as depicting a first object type corresponding to a first object type cluster of the object type clusters based on the micro-feature vector; computing a probability density function for the object type clusters; computing a probability density value for the micro-feature vector; evaluating a rareness measure of the micro-feature vector, wherein the rareness measure estimates a likelihood of observing the micro-feature vector, based on the probability density function and the probability density value, and identifying the foreground object as an anomaly object type when the rareness measure is below a specified threshold. | 14. A system, comprising: a video input source configured to provide image data; a processor; and a memory containing a program, which, when executed on the processor is configured to perform an operation that identifies anomaly object types during classification of image data captured by a video camera, the operation comprising: receiving a micro-feature vector including multiple micro-feature values, each micro-feature value based on at least one pixel-level characteristic of a foreground patch that depicts a foreground object within the image data; classifying the foreground object as depicting a first object type corresponding to a first object type cluster of the object type clusters based on the micro-feature vector; computing a probability density function for the object type clusters; computing a probability density value for the micro-feature vector; evaluating a rareness measure of the micro-feature vector, wherein the rareness measure estimates a likelihood of observing the micro-feature vector, based on the probability density function and the probability density value, and identifying the foreground object as an anomaly object type when the rareness measure is below a specified threshold. 15. The system of claim 14 , wherein the foreground object is identified as the anomaly object type when the rareness measure is greater than a threshold value. | 0.618182 |
20. The system of claim 12 , wherein the plurality of connections further comprises a plurality of communication paths between the media manager and the plurality of media players. | 20. The system of claim 12 , wherein the plurality of connections further comprises a plurality of communication paths between the media manager and the plurality of media players. 21. The system of claim 20 , wherein the plurality of communication paths are configured to handle a plurality of received generated queries and the at least one background query, the plurality of received generated queries and the at least one background query are allocated to at least one of the plurality of communication paths carrying the least amount of received generated queries and the at least one background query. | 0.926255 |
28. A system, comprising: a display; a computer-readable storage medium comprising a script repository for electronically storing one or more scripts; and one or more processors that execute an input method editor (IME), that receive a user input to the IME, that determine, based on the user input, whether to process the user input with a script engine, that: when the user input indicates that the user input is to be processed with the script engine: provide the user input to the script engine, select the script from the script repository, process the user input through the script using the script engine to generate one or more candidates, and provide the one or more candidates to be displayed on the display; when the user input indicates that the user input is not to be processed with the script engine: provide the user input to the IME engine, and process the user input with the IME engine to generate one or more candidates, and provide the one or more candidates to be displayed on the display; and receive an extension mode input indicating operation of the IME in an extension mode, operate the IME in the extension mode in response to receiving the extension mode input, and provide all user input to the script engine when operating in the extension mode. | 28. A system, comprising: a display; a computer-readable storage medium comprising a script repository for electronically storing one or more scripts; and one or more processors that execute an input method editor (IME), that receive a user input to the IME, that determine, based on the user input, whether to process the user input with a script engine, that: when the user input indicates that the user input is to be processed with the script engine: provide the user input to the script engine, select the script from the script repository, process the user input through the script using the script engine to generate one or more candidates, and provide the one or more candidates to be displayed on the display; when the user input indicates that the user input is not to be processed with the script engine: provide the user input to the IME engine, and process the user input with the IME engine to generate one or more candidates, and provide the one or more candidates to be displayed on the display; and receive an extension mode input indicating operation of the IME in an extension mode, operate the IME in the extension mode in response to receiving the extension mode input, and provide all user input to the script engine when operating in the extension mode. 33. The system of claim 28 , wherein the user input comprises an input sequence that identifies the script and an input to be processed by the script. | 0.606158 |
1. A computer-implemented method for determining relevance, and for semantic search and personalized advertising based on association, comprising: receiving a first text content, wherein the first text content comprises one or more terms each comprising a word or a phrase; identifying a first term in the first text content, wherein the first term represents a topic or category name, wherein the topic or category name includes the name of a concept or object, or a product or service or activity or event, wherein the first term is a user-generated term; receiving a dataset based on the topic or category name, wherein the dataset comprises one or more property names representing one or more properties associated with the topic or category name, wherein at least one of the one or more property names is associated with an association strength measure; receiving a second text content, wherein the second text content comprises one or more terms each comprising a word or a phrase; identifying a second term in the second text content, wherein the second term matches one of the one or more property names in the dataset, wherein the second term does not match the topic or category name, wherein the second term is associated with a term importance measure; and determining a relevance measure between the first text content and the second text content based on the second term and the association strength measure and the term importance measure. | 1. A computer-implemented method for determining relevance, and for semantic search and personalized advertising based on association, comprising: receiving a first text content, wherein the first text content comprises one or more terms each comprising a word or a phrase; identifying a first term in the first text content, wherein the first term represents a topic or category name, wherein the topic or category name includes the name of a concept or object, or a product or service or activity or event, wherein the first term is a user-generated term; receiving a dataset based on the topic or category name, wherein the dataset comprises one or more property names representing one or more properties associated with the topic or category name, wherein at least one of the one or more property names is associated with an association strength measure; receiving a second text content, wherein the second text content comprises one or more terms each comprising a word or a phrase; identifying a second term in the second text content, wherein the second term matches one of the one or more property names in the dataset, wherein the second term does not match the topic or category name, wherein the second term is associated with a term importance measure; and determining a relevance measure between the first text content and the second text content based on the second term and the association strength measure and the term importance measure. 7. The method of claim 1 , further comprising: storing the topic or category name in association with a user profile. | 0.755373 |
1. A method comprising steps of: (a) retrieving in a media store server a first descriptive text for multimedia content in a catalog of a vendor's server; (b) converting the first descriptive text for the multimedia content in the catalog of the vendor's server into a second descriptive text for the multimedia content, the second descriptive text conforming to a standardized format required by a catalog of the media store server; (c) comparing the second descriptive text for the multimedia content with descriptive texts for multimedia contents in the catalog of the media store server; (d) upon the second descriptive text for the multimedia content not matching with any of the descriptive texts for multimedia contents in the catalog of the media store server, converting the second descriptive text to a third descriptive text for the multimedia content of a decreased number of characters by removing a portion of characters of the second descriptive text; (e) comparing the third descriptive text for the multimedia content with the descriptive texts of multimedia contents in the catalog of the media store server, wherein the comparing of the third descriptive text is less exacting than the comparing of the second descriptive text; (f) storing the first descriptive text for the multimedia content of the catalog of the vendor's server in the catalog of the media store server, upon the third descriptive text for the multimedia content matching at least one of the descriptive texts for multimedia contents in the catalog of the media store server; and (g) providing a function for searching the catalog of the media store server, to customers' digital information devices, based at least in part on the descriptive texts for multimedia contents in the catalog of the media store server including the stored first descriptive text for the multimedia content of the catalog of the vendor's server. | 1. A method comprising steps of: (a) retrieving in a media store server a first descriptive text for multimedia content in a catalog of a vendor's server; (b) converting the first descriptive text for the multimedia content in the catalog of the vendor's server into a second descriptive text for the multimedia content, the second descriptive text conforming to a standardized format required by a catalog of the media store server; (c) comparing the second descriptive text for the multimedia content with descriptive texts for multimedia contents in the catalog of the media store server; (d) upon the second descriptive text for the multimedia content not matching with any of the descriptive texts for multimedia contents in the catalog of the media store server, converting the second descriptive text to a third descriptive text for the multimedia content of a decreased number of characters by removing a portion of characters of the second descriptive text; (e) comparing the third descriptive text for the multimedia content with the descriptive texts of multimedia contents in the catalog of the media store server, wherein the comparing of the third descriptive text is less exacting than the comparing of the second descriptive text; (f) storing the first descriptive text for the multimedia content of the catalog of the vendor's server in the catalog of the media store server, upon the third descriptive text for the multimedia content matching at least one of the descriptive texts for multimedia contents in the catalog of the media store server; and (g) providing a function for searching the catalog of the media store server, to customers' digital information devices, based at least in part on the descriptive texts for multimedia contents in the catalog of the media store server including the stored first descriptive text for the multimedia content of the catalog of the vendor's server. 15. The method of claim 1 , wherein in converting the second descriptive text to the third descriptive text the order of characters of the second descriptive text does not change. | 0.946172 |
25. The computer readable medium of claim 19 , further comprising display in the single content region of the chat history display a buddy list entry that references a list of user-defined buddies selected in a buddy list display. | 25. The computer readable medium of claim 19 , further comprising display in the single content region of the chat history display a buddy list entry that references a list of user-defined buddies selected in a buddy list display. 26. The computer readable medium of claim 25 , further comprising display the buddy list entry as a last entry in the single content region of the chat history display. | 0.941154 |
13. A method, comprising: receiving a structured document defining a plurality of display elements, the plurality of display elements including a resizable container element and a scalable element defined to be located at least partially within the resizable container element; executing a rendering function that calculates a display position for each of the plurality of display elements; producing rendered content, the rendered content based at least in part on the display position for each of the plurality of display elements; outputting a viewable area of the rendered content; receiving a scaling input; redefining the size of the scalable element according to the scaling input; and selectively redefining the size of the resizable container element based on the display position of the resizable container element with respect to the viewable area of the rendered content by determining whether the resizable container element will be located within the viewable area if resized to completely contain the scalable element, resizing the resizable container element if it will be located within the viewable area, and maintaining the size of the resizable container element if it will not be located within the viewable area. | 13. A method, comprising: receiving a structured document defining a plurality of display elements, the plurality of display elements including a resizable container element and a scalable element defined to be located at least partially within the resizable container element; executing a rendering function that calculates a display position for each of the plurality of display elements; producing rendered content, the rendered content based at least in part on the display position for each of the plurality of display elements; outputting a viewable area of the rendered content; receiving a scaling input; redefining the size of the scalable element according to the scaling input; and selectively redefining the size of the resizable container element based on the display position of the resizable container element with respect to the viewable area of the rendered content by determining whether the resizable container element will be located within the viewable area if resized to completely contain the scalable element, resizing the resizable container element if it will be located within the viewable area, and maintaining the size of the resizable container element if it will not be located within the viewable area. 22. The method of claim 13 , wherein redefining the size of the scalable element according to the scaling input includes executing scaling function code that is included as part of the structured document. | 0.677337 |
10. A system, comprising: a memory unit for storing a computer program for checking documents using colloquialisms; and a processor coupled to the memory unit, wherein the processor is configured to execute the program instructions of the computer program comprising: tracking colloquialisms used in messages by users in a social network, wherein said colloquialisms are words or phrases used in informal online communications, wherein said colloquialisms comprise words or phrases that vary from region to region; identifying relationships between senders and recipients of said messages using said colloquialisms; generating a social graph to depict relations between said users in said social network based on said identified relationships; formulating usage patterns of said colloquialisms among said users of said social graph; generating a rule set based on said social graph; and reviewing a document for spelling and/or grammatical errors and/or for making contextual relevant recommendations using said generated rule set. | 10. A system, comprising: a memory unit for storing a computer program for checking documents using colloquialisms; and a processor coupled to the memory unit, wherein the processor is configured to execute the program instructions of the computer program comprising: tracking colloquialisms used in messages by users in a social network, wherein said colloquialisms are words or phrases used in informal online communications, wherein said colloquialisms comprise words or phrases that vary from region to region; identifying relationships between senders and recipients of said messages using said colloquialisms; generating a social graph to depict relations between said users in said social network based on said identified relationships; formulating usage patterns of said colloquialisms among said users of said social graph; generating a rule set based on said social graph; and reviewing a document for spelling and/or grammatical errors and/or for making contextual relevant recommendations using said generated rule set. 13. The system as recited in claim 10 , wherein the program instructions of the computer program further comprise: generating said rule set based on said social graph and said usage patterns of said colloquialisms among said users of said social graph. | 0.50369 |
8. The method for content sensing a user's communication of claim 1 , wherein the first uncertainty value generated for the first content word is a result of subtracting the first certainty value generated for the first content word from one. | 8. The method for content sensing a user's communication of claim 1 , wherein the first uncertainty value generated for the first content word is a result of subtracting the first certainty value generated for the first content word from one. 9. The method for content sensing a user's communication of claim 8 , wherein the second uncertainty value generated for the first content word is a result of multiplying the first uncertainty value generated for the first content word by one minus the second certainty value generated for the first content word. | 0.935945 |
22. A method for searching for information contained in at least one database based upon input received from a user via an electronic device, the method comprising: presenting text to the user via at least one user interface of the electronic device; receiving input from the user via the at least one user interface to highlight a portion of the text; performing a database search of the at least one database using at least a portion of the highlighted portion of the text to produce search results; and presenting the search results to the user via the at least one user interface. | 22. A method for searching for information contained in at least one database based upon input received from a user via an electronic device, the method comprising: presenting text to the user via at least one user interface of the electronic device; receiving input from the user via the at least one user interface to highlight a portion of the text; performing a database search of the at least one database using at least a portion of the highlighted portion of the text to produce search results; and presenting the search results to the user via the at least one user interface. 23. The method of claim 22 , further comprising: receiving input from the user via the at least one user interface to initiate the database search; and forming a search argument based upon the highlighted portion of the text; and performing the database search using the search argument. | 0.563779 |
1. A method performed by data processing apparatus, the method comprising: identifying a set of one or more seed descriptors for a given image in a given document that is hosted on a website, wherein each seed descriptor has been identified as being a correct description of the given image; for each seed descriptor: identifying a location of at least one word of the seed descriptor in the given document by comparing each word of the seed descriptor to text included in the given document; in response to identifying the location of the at least one word of the seed descriptor in the given document, generating, based on the identified location of the at least one word of the seed descriptor in the given document, structure information that specifies a structure of the given document with respect to the given image and the seed descriptor, the structure specifying a location of a string of text that includes the at least one word of the seed descriptor within the given document with respect to a location of the given image within the given document; and generating one or more templates using the structure information for the seed descriptor, each template including: image location information specifying a location of the given image within the given document; document structure information specifying the structure of the given document with respect to the given image and the seed descriptor, including the location of the string of text that includes the at least one word of the seed descriptor within the given document with respect to the location of the given image within the given document; image feature information specifying one or more feature values of the given image, each feature value representing a respective visual characteristic of the given image or data regarding an image file in which the given image is stored; and a generative rule that generates descriptive text for other images in other documents; and for each generated template: identifying a set of documents that have (i) document structure information that matches the document structure information specified by the generated template and (ii) an image that has image feature information that matches the image feature information of the given image; and for each document in the set of documents: generating descriptive text for the image of the document using the generative rule of the generated template and the document; and associating the descriptive text with the image. | 1. A method performed by data processing apparatus, the method comprising: identifying a set of one or more seed descriptors for a given image in a given document that is hosted on a website, wherein each seed descriptor has been identified as being a correct description of the given image; for each seed descriptor: identifying a location of at least one word of the seed descriptor in the given document by comparing each word of the seed descriptor to text included in the given document; in response to identifying the location of the at least one word of the seed descriptor in the given document, generating, based on the identified location of the at least one word of the seed descriptor in the given document, structure information that specifies a structure of the given document with respect to the given image and the seed descriptor, the structure specifying a location of a string of text that includes the at least one word of the seed descriptor within the given document with respect to a location of the given image within the given document; and generating one or more templates using the structure information for the seed descriptor, each template including: image location information specifying a location of the given image within the given document; document structure information specifying the structure of the given document with respect to the given image and the seed descriptor, including the location of the string of text that includes the at least one word of the seed descriptor within the given document with respect to the location of the given image within the given document; image feature information specifying one or more feature values of the given image, each feature value representing a respective visual characteristic of the given image or data regarding an image file in which the given image is stored; and a generative rule that generates descriptive text for other images in other documents; and for each generated template: identifying a set of documents that have (i) document structure information that matches the document structure information specified by the generated template and (ii) an image that has image feature information that matches the image feature information of the given image; and for each document in the set of documents: generating descriptive text for the image of the document using the generative rule of the generated template and the document; and associating the descriptive text with the image. 13. The method of claim 1 , further comprising generating at least one of the seed descriptors by applying visual features of the given image to an image classification model. | 0.653237 |
9. A system for accelerating network communications, the system comprising: a client system including a proxy client configured to intercept a content request generated by the client, and to transmit the request; a proxy server coupled with the client system via the proxy client, the proxy server including a script parser configured to: receive a script object, wherein the script object includes text; to parse the text of the script object to determine whether the parsed text matches tokens included in a syntax dictionary, the matching tokens corresponding in the syntax dictionary with syntax identified as useful in constructing universal resource locators (URLs); and to parse the text of the script object before and after the matching tokens in accordance with the corresponding syntax to construct a plurality of proposed complete URLs, wherein the proxy server further includes a detector which is configured to receive the proposed complete URLs to determine whether each is a valid complete URL; and a content server coupled with the proxy server, the content server configured to receive object retrieval requests associated with the valid complete URLs from the proxy server, and transmit objects associated with the valid completed URLs to the proxy server. | 9. A system for accelerating network communications, the system comprising: a client system including a proxy client configured to intercept a content request generated by the client, and to transmit the request; a proxy server coupled with the client system via the proxy client, the proxy server including a script parser configured to: receive a script object, wherein the script object includes text; to parse the text of the script object to determine whether the parsed text matches tokens included in a syntax dictionary, the matching tokens corresponding in the syntax dictionary with syntax identified as useful in constructing universal resource locators (URLs); and to parse the text of the script object before and after the matching tokens in accordance with the corresponding syntax to construct a plurality of proposed complete URLs, wherein the proxy server further includes a detector which is configured to receive the proposed complete URLs to determine whether each is a valid complete URL; and a content server coupled with the proxy server, the content server configured to receive object retrieval requests associated with the valid complete URLs from the proxy server, and transmit objects associated with the valid completed URLs to the proxy server. 11. A system for accelerating network communications as recited in claim 9 , wherein the client and the proxy server are coupled together via a high latency communications link. | 0.547468 |
1. A computer program product comprising a non-transitory computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to: receive a set of documents to be added to a corpus of documents; record document characteristics of each document within the set of documents using a characteristic recording annotator executing within the computing device; predict an ingestion time for each document within the set of documents based on the document characteristics and a machine learning model, wherein the ingestion time is a predicted time to ingest each given document by a plurality of annotators executing within the computing device; determining, for a given document, a document characteristic, wherein the document characteristic corresponds to a corresponding annotator used to process the document characteristic during ingestion; and assign the set of documents to question answering system resources to be processed based on the predicted ingestion time for each document, wherein assigning the set of documents to the question answering system resources comprises disabling or delaying execution of the corresponding annotator during ingestion of the given document. | 1. A computer program product comprising a non-transitory computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to: receive a set of documents to be added to a corpus of documents; record document characteristics of each document within the set of documents using a characteristic recording annotator executing within the computing device; predict an ingestion time for each document within the set of documents based on the document characteristics and a machine learning model, wherein the ingestion time is a predicted time to ingest each given document by a plurality of annotators executing within the computing device; determining, for a given document, a document characteristic, wherein the document characteristic corresponds to a corresponding annotator used to process the document characteristic during ingestion; and assign the set of documents to question answering system resources to be processed based on the predicted ingestion time for each document, wherein assigning the set of documents to the question answering system resources comprises disabling or delaying execution of the corresponding annotator during ingestion of the given document. 3. The computer program product of claim 1 , wherein the computer readable program further causes the computing device to: receive a set of input documents; record document characteristics of each input document within the set of input documents using the characteristic recording annotator; ingest each input document within the set of input documents using a pipeline of annotators within the computing device, wherein each annotator within the pipeline of annotators processes a portion of the input document for a respective document characteristic; record a processing time of each annotator within the pipeline of annotators; and generate the machine learning model based on the recorded document characteristics and the recorded processing times. | 0.5 |
8. The system of claim 7 , wherein the one or more processors are further configured to: parse the webpage contents and extract citation information of external links in the webpage contents; count up a referenced value of the URL based on the citation information of external links. | 8. The system of claim 7 , wherein the one or more processors are further configured to: parse the webpage contents and extract citation information of external links in the webpage contents; count up a referenced value of the URL based on the citation information of external links. 10. The system claim 8 , wherein the one or more processors are further configured to: parse the webpage contents and extract data to be detected in the webpage contents; and call a predetermined detection program based on the referenced value of the URL to perform malicious attribute detection of contents referenced by the URL. | 0.838851 |
13. A system for classifying text on a computer for electronic communication management in a contact center, comprising: means for analyzing, in the computer, text from an electronic communication received from a customer to determine the customer's intent by identifying concepts in the text and building a concept model containing the identified concepts; means for providing, in the computer, a knowledge base having a plurality of nodes including a set of learning nodes, each of the learning nodes being provided with statistical information for determining a relevance of the text to a category associated with the node; means for calculating, in the computer, a set of match scores for the concept model using the knowledge base, each match score of the set of match scores indicating the relevance of the text to a category associated with a node of the knowledge base, the category including at least one suggested action to be performed in response to the electronic communication, wherein the suggested action is representative of the relevance of the text to the category, and the suggested action includes generating an automatic response to the customer or routing the electronic communication to an agent to generate an assisted response to the customer; and means for performing, in the computer, the suggested action in response to the electronic communication based on the calculated set of match scores, in order to improve the response of the contact center to the electronic communication received from customers by the contact center. | 13. A system for classifying text on a computer for electronic communication management in a contact center, comprising: means for analyzing, in the computer, text from an electronic communication received from a customer to determine the customer's intent by identifying concepts in the text and building a concept model containing the identified concepts; means for providing, in the computer, a knowledge base having a plurality of nodes including a set of learning nodes, each of the learning nodes being provided with statistical information for determining a relevance of the text to a category associated with the node; means for calculating, in the computer, a set of match scores for the concept model using the knowledge base, each match score of the set of match scores indicating the relevance of the text to a category associated with a node of the knowledge base, the category including at least one suggested action to be performed in response to the electronic communication, wherein the suggested action is representative of the relevance of the text to the category, and the suggested action includes generating an automatic response to the customer or routing the electronic communication to an agent to generate an assisted response to the customer; and means for performing, in the computer, the suggested action in response to the electronic communication based on the calculated set of match scores, in order to improve the response of the contact center to the electronic communication received from customers by the contact center. 19. The system for classifying text of claim 13 , wherein the pre-processor selects a script from a plurality of scripts and executes the selected script to identify concepts. | 0.540138 |
1. A server device for use in interpreting information in a document, comprising: a storage component arranged to receive and store an image of a document received from a remote source; and a processor that includes data and instructions configured to perform actions, including: representing the image as text that includes a plurality of characters, some of the characters in the plurality having alternative versions with associated confidence probabilities; generating a set of tokenization's, each tokenization comprising a set of unique tokens that comprise collections of characters, wherein different tokens are defined for different versions of a character, and wherein for characters with different versions a single version is included in a tokenization; assigning one or more tags to the tokens, the tags indicating a possible meaning of a corresponding token, and at least some of the tags having a score value indicating a probability of accuracy; parsing each tokenization in the set of tokenizations based on a determined grammar to obtain multiple tokenizations with a single tag being assigned to each token; assigning each tokenization an aggregate score based at least on compliance with the determined grammar; and selecting as a final tokenization one tokenization with tags based on the aggregate score from the multiple tokenizations. | 1. A server device for use in interpreting information in a document, comprising: a storage component arranged to receive and store an image of a document received from a remote source; and a processor that includes data and instructions configured to perform actions, including: representing the image as text that includes a plurality of characters, some of the characters in the plurality having alternative versions with associated confidence probabilities; generating a set of tokenization's, each tokenization comprising a set of unique tokens that comprise collections of characters, wherein different tokens are defined for different versions of a character, and wherein for characters with different versions a single version is included in a tokenization; assigning one or more tags to the tokens, the tags indicating a possible meaning of a corresponding token, and at least some of the tags having a score value indicating a probability of accuracy; parsing each tokenization in the set of tokenizations based on a determined grammar to obtain multiple tokenizations with a single tag being assigned to each token; assigning each tokenization an aggregate score based at least on compliance with the determined grammar; and selecting as a final tokenization one tokenization with tags based on the aggregate score from the multiple tokenizations. 2. The server device of claim 1 , wherein information represented in the document comprises identifiable semantic structures and wherein a subset of the semantic structures being presented only once and having a unique meaning. | 0.515884 |
14. A non-transitory computer-readable media having instructions stored thereon, the instructions, when executed by one or more processors, cause the processors to perform operations comprising: receiving a multi-script handwriting recognition model, the multi-script recognition model having been trained on spatially-derived features of a multi-script training corpus, the multi-script training corpus including respective handwriting samples corresponding to characters of one or more scripts; receiving a handwriting input from a user, the handwriting input comprising a plurality of handwritten strokes corresponding to a plurality of scripts provided on a touch-sensitive surface coupled to a user device; and in response to receiving the handwriting input comprising a plurality of handwritten strokes corresponding to a plurality of scripts, providing in real-time one or more handwriting recognition results to the user based on the multi-script handwriting recognition model that has been trained on the spatially-derived features of the multi-script training corpus, wherein the one or more handwriting recognition results includes characters from a plurality of scripts. | 14. A non-transitory computer-readable media having instructions stored thereon, the instructions, when executed by one or more processors, cause the processors to perform operations comprising: receiving a multi-script handwriting recognition model, the multi-script recognition model having been trained on spatially-derived features of a multi-script training corpus, the multi-script training corpus including respective handwriting samples corresponding to characters of one or more scripts; receiving a handwriting input from a user, the handwriting input comprising a plurality of handwritten strokes corresponding to a plurality of scripts provided on a touch-sensitive surface coupled to a user device; and in response to receiving the handwriting input comprising a plurality of handwritten strokes corresponding to a plurality of scripts, providing in real-time one or more handwriting recognition results to the user based on the multi-script handwriting recognition model that has been trained on the spatially-derived features of the multi-script training corpus, wherein the one or more handwriting recognition results includes characters from a plurality of scripts. 18. The media of claim 14 , wherein providing real-time handwriting recognition for a user's handwriting input further comprises: continuously revising one or more recognition results for the user's handwriting input in response to continued additions to or revisions of the handwriting input by the user; and in response to each revision of the one or more recognition results, displaying the respective revised one or more recognition results to the user in a candidate display area of the handwriting input user interface. | 0.571851 |
17. The method of claim 1 , wherein modifying the scores for the determined communities is performed further based on dates of latest interactions of the members with the communities. | 17. The method of claim 1 , wherein modifying the scores for the determined communities is performed further based on dates of latest interactions of the members with the communities. 18. The method of claim 17 , wherein the interactions comprise posting to the communities, sharing posts within the communities, indicating likeness towards posts within the communities, commenting on posts within the communities, or a combination thereof. | 0.937968 |
13. The method of claim 1 , wherein: the structured service documents are created using a structured language; and the structured request document is created using the same structured language. | 13. The method of claim 1 , wherein: the structured service documents are created using a structured language; and the structured request document is created using the same structured language. 15. The method of claim 13 , wherein the structured language is Standard Generalized Markup Language (SGML). | 0.956721 |
17. A method for processing queries, comprising the computer-implemented steps of: a database server receiving a query that evaluates to a relation, wherein said query comprises: a first one or more clauses; and a model clause, wherein said model clause comprises: a rule that comprises a left-side expression and a right-side expression, wherein said right-side expression includes a window function; and one or more dimension columns that correspond to columns of said relation, wherein said left-side expression references a set of said one or more dimension columns; wherein said window function specifies a set of columns over which said window function is to be evaluated, wherein said set of columns corresponds to columns of said relation; said database server executing said query to generate said relation, wherein said database server executing said query comprises: producing a first set of rows, wherein each row in said first set of rows includes only: said set of columns that is specified by said window function, and said set of said one or more dimension columns that is referenced by said left-side expression; evaluating said window function based on said first set of rows; wherein the steps of the method are performed by one or more computer systems. | 17. A method for processing queries, comprising the computer-implemented steps of: a database server receiving a query that evaluates to a relation, wherein said query comprises: a first one or more clauses; and a model clause, wherein said model clause comprises: a rule that comprises a left-side expression and a right-side expression, wherein said right-side expression includes a window function; and one or more dimension columns that correspond to columns of said relation, wherein said left-side expression references a set of said one or more dimension columns; wherein said window function specifies a set of columns over which said window function is to be evaluated, wherein said set of columns corresponds to columns of said relation; said database server executing said query to generate said relation, wherein said database server executing said query comprises: producing a first set of rows, wherein each row in said first set of rows includes only: said set of columns that is specified by said window function, and said set of said one or more dimension columns that is referenced by said left-side expression; evaluating said window function based on said first set of rows; wherein the steps of the method are performed by one or more computer systems. 23. The method of claim 17 , wherein: said rule is a first rule, said left-side expression is a first left-side expression, said right-side expression is a first right-side expression, and said window function is a first window function; said model clause further comprises a second rule, wherein said second rule comprises a second left-side expression and a second right-side expression, wherein said second right-side expression includes a second window function; said first window function specifies first one or more partition columns by which to partition a second set of rows in said relation into partitions, wherein said second set of rows includes first one or more cells that are identified by said first left-side expression of said first rule; said second window function specifies second one or more partition columns by which to partition a third set of rows into partitions, wherein said third set of rows includes second one or more cells that are identified by said second left-side expression of said second rule; and said step of said database server executing said query comprises: based on said first left-side expression, determining said second set of rows in said relation; based on said first one or more partition columns, partitioning said second set of rows into first one or more subsets of rows; based on said second left-side expression, determining said third set of rows in said relation; based on said second one or more partition columns, partitioning said third set of rows into second one or more subsets of rows; said step of producing said first set of rows comprises producing said first set of rows based on at least one of said first one or more subsets of rows; producing a fourth set of rows based on at least one of said second one or more subsets of rows; and evaluating said second window function based on said fourth set of rows. | 0.526981 |
1. A non-transitory computer-readable storage medium embodying a program of instruction executable by a computer for performing a method of communicating between an application program of a resolution protocol and a server process on a same node to manage peer-to-peer identities, comprising the steps of: providing, on the same node, an application program interface for use by the application program of the resolution protocol to manage peer-to-peer identities; receiving, at the server process on the same node, via the application program interface, a peer identity create call having a plurality of call parameters comprising a classifier, a peer-to-peer friendly name, a handle to a container in which a key pair exists, and a pointer to a location to which an identity name should be returned, wherein the key pair includes a private key and a public key, and wherein the key pair and the classifier are used to generate the identity name; parsing, at the server process, the peer identity create call to retrieve the plurality of call parameters; returning to the application program a value indicative of the success/failure of the peer identity create call; receiving, at the server process on the same node, via the application program interface, a peer identity management call corresponding to the identity name corresponding to peer identity create call, and the peer identity management call having one or more corresponding call parameters; parsing, at the server process, the peer identity management call to retrieve the one or more corresponding call parameters; and returning to the application program a value indicative of the success/failure of the peer identity management call. | 1. A non-transitory computer-readable storage medium embodying a program of instruction executable by a computer for performing a method of communicating between an application program of a resolution protocol and a server process on a same node to manage peer-to-peer identities, comprising the steps of: providing, on the same node, an application program interface for use by the application program of the resolution protocol to manage peer-to-peer identities; receiving, at the server process on the same node, via the application program interface, a peer identity create call having a plurality of call parameters comprising a classifier, a peer-to-peer friendly name, a handle to a container in which a key pair exists, and a pointer to a location to which an identity name should be returned, wherein the key pair includes a private key and a public key, and wherein the key pair and the classifier are used to generate the identity name; parsing, at the server process, the peer identity create call to retrieve the plurality of call parameters; returning to the application program a value indicative of the success/failure of the peer identity create call; receiving, at the server process on the same node, via the application program interface, a peer identity management call corresponding to the identity name corresponding to peer identity create call, and the peer identity management call having one or more corresponding call parameters; parsing, at the server process, the peer identity management call to retrieve the one or more corresponding call parameters; and returning to the application program a value indicative of the success/failure of the peer identity management call. 12. The non-transitory computer-readable storage medium of claim 1 , wherein: the step of receiving the peer identity management call comprises receiving an enumerate peer identities call having the one or more corresponding call parameters comprising a pointer to a location to which a handle to the enumeration object is to be returned, wherein the enumeration object corresponds to an enumeration of a set of created peer identities including the identity name; and the step of returning to the application program the value indicative of the success/failure of the peer identity management call comprises returning to the application program a value indicative of the success/failure of the enumerate peer identities call. | 0.555607 |
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