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10,152,972 | 1 | 5 |
1. A processor-based method for operating an electronic device configured to function as an agent for a user interface in a medical environment utilizing conversation histories, the method comprising: (a) receiving, from a user of the electronic device via a microphone of the electronic device, a first utterance corresponding to a first spoken command, the first spoken command identifying a first patient; (b) converting, utilizing one or more processors, the first utterance to first text; (c) encapsulating, utilizing one or more processors, the converted first text in a first rheme object; (d) searching, for each of a plurality of topics utilizing one or more processors, for keywords in the converted first text; (e) determining, utilizing one or more processors, a relevancy metric for each of the plurality of topics based on the keyword searching of the converted first text; (f) selecting, utilizing one or more processors, one or more topics as a first set of one or more relevant topics based on the determined relevancy metrics; (g) comparing, utilizing one or more processors, some or all of the converted first text to names in one or more patient lists or databases; (h) determining, utilizing one or more processors based on comparing some or all of the converted first text, that the first utterance included an identification of the first patient based on successful matching during the comparing of some or all of the converted first text; (i) based on the determination that the first utterance included an identification of the first patient, attaching, utilizing one or more processors, an indication of the identified first patient to the first rheme object; (j) displaying, to the user via a display device associated with the electronic device, first information associated with the first patient based on the selected first set of one or more relevant topics and the identified first patient; (k) saving, utilizing one or more processors, the selected first set of one or more relevant topics in a conversation history in association with the identified first patient; (l) receiving, from the user of the electronic device via the microphone of the electronic device, a second utterance corresponding to a second spoken command, the second spoken command not including an identification of a patient; (m) converting, utilizing one or more processors, the second utterance to second text; (n) encapsulating, utilizing one or more processors, the converted second text in a second rheme object; (o) searching, for each of the plurality of topics utilizing one or more processors, for keywords in the converted second text; (p) determining, utilizing one or more processors, a relevancy metric for each of the plurality of topics based on the keyword searching of the converted second text; (q) selecting, utilizing one or more processors, one or more topics as a second set of one or more relevant topics based on the determined relevancy metrics; (r) comparing, utilizing one or more processors, some or all of the converted second text to names in the one or more patient lists or databases; (s) determining, utilizing one or more processors based on comparing some or all of the converted second text, that the second utterance did not include an identification of a patient, and, based thereon, attaching an indication of the previously identified first patient to the second rheme object; (t) displaying, to the user via the display device associated with the electronic device, second information associated with the first patient based on the selected second set of one or more relevant topics and the previous identification of the first patient; and (u) generating, via the one or more processors, an updated conversation history comprising the selected second set of one or more relevant topics associated with the previously identified first patient.
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1. A processor-based method for operating an electronic device configured to function as an agent for a user interface in a medical environment utilizing conversation histories, the method comprising: (a) receiving, from a user of the electronic device via a microphone of the electronic device, a first utterance corresponding to a first spoken command, the first spoken command identifying a first patient; (b) converting, utilizing one or more processors, the first utterance to first text; (c) encapsulating, utilizing one or more processors, the converted first text in a first rheme object; (d) searching, for each of a plurality of topics utilizing one or more processors, for keywords in the converted first text; (e) determining, utilizing one or more processors, a relevancy metric for each of the plurality of topics based on the keyword searching of the converted first text; (f) selecting, utilizing one or more processors, one or more topics as a first set of one or more relevant topics based on the determined relevancy metrics; (g) comparing, utilizing one or more processors, some or all of the converted first text to names in one or more patient lists or databases; (h) determining, utilizing one or more processors based on comparing some or all of the converted first text, that the first utterance included an identification of the first patient based on successful matching during the comparing of some or all of the converted first text; (i) based on the determination that the first utterance included an identification of the first patient, attaching, utilizing one or more processors, an indication of the identified first patient to the first rheme object; (j) displaying, to the user via a display device associated with the electronic device, first information associated with the first patient based on the selected first set of one or more relevant topics and the identified first patient; (k) saving, utilizing one or more processors, the selected first set of one or more relevant topics in a conversation history in association with the identified first patient; (l) receiving, from the user of the electronic device via the microphone of the electronic device, a second utterance corresponding to a second spoken command, the second spoken command not including an identification of a patient; (m) converting, utilizing one or more processors, the second utterance to second text; (n) encapsulating, utilizing one or more processors, the converted second text in a second rheme object; (o) searching, for each of the plurality of topics utilizing one or more processors, for keywords in the converted second text; (p) determining, utilizing one or more processors, a relevancy metric for each of the plurality of topics based on the keyword searching of the converted second text; (q) selecting, utilizing one or more processors, one or more topics as a second set of one or more relevant topics based on the determined relevancy metrics; (r) comparing, utilizing one or more processors, some or all of the converted second text to names in the one or more patient lists or databases; (s) determining, utilizing one or more processors based on comparing some or all of the converted second text, that the second utterance did not include an identification of a patient, and, based thereon, attaching an indication of the previously identified first patient to the second rheme object; (t) displaying, to the user via the display device associated with the electronic device, second information associated with the first patient based on the selected second set of one or more relevant topics and the previous identification of the first patient; and (u) generating, via the one or more processors, an updated conversation history comprising the selected second set of one or more relevant topics associated with the previously identified first patient. 5. The processor-based method of claim 1 , wherein the electronic device comprises a tablet.
| 0.97443 |
9,767,093 | 16 | 17 |
16. The apparatus as recited in claim 12 , wherein generating the one or more annotated alternative versions of the input annotated phrase, the processor and the memory, with the computer code instructions, are further configured to cause the apparatus to apply one or more transformation rules to nodes of the syntactic tree.
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16. The apparatus as recited in claim 12 , wherein generating the one or more annotated alternative versions of the input annotated phrase, the processor and the memory, with the computer code instructions, are further configured to cause the apparatus to apply one or more transformation rules to nodes of the syntactic tree. 17. The apparatus as recited in claim 16 , wherein applying one or more transformation rules to nodes of the syntactic tree, the processor and the memory, with the computer code instructions, are further configured to cause the apparatus to reorder expressions of the input annotated phrase within an alternative version of the one or more versions generated, the expression associated with nodes of the syntactic tree generated.
| 0.52439 |
10,134,060 | 6 | 7 |
6. A system for processing natural language utterances that include requests, and selecting and presenting advertisements based thereon, the system comprising: one or more physical processors programmed with computer program instructions which, when executed, cause the one or more physical processors to: provide a natural language utterance as an input to a speech recognition engine; receive words or phrases, recognized from the natural language utterance, as an output of the speech recognition engine; provide the words or phrases as an input to a conversational language processor; receive, from the conversational language processor, an interpretation of the natural language utterance based on the recognized words or phrases; determine a context for the natural language utterance based at least on the recognized words or phrases; determine that the natural language utterance includes a cross-application request based on the interpretation of the natural language utterance, the cross-application request comprising at least a first request and a second request to be serviced by different context-appropriate applications; provide the first request to a first application to service the first request; provide the second request to a second application to service the second request; select an advertisement based at least on the determined context and either or both of the first request or the second request; generate a service output responsive to the natural language utterance, the service output comprising: (i) a first output received from the first application responsive to the first request; (ii) a second output received from the second application responsive to the second request; and (iii) the selected advertisement; and provide the service output via an output device.
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6. A system for processing natural language utterances that include requests, and selecting and presenting advertisements based thereon, the system comprising: one or more physical processors programmed with computer program instructions which, when executed, cause the one or more physical processors to: provide a natural language utterance as an input to a speech recognition engine; receive words or phrases, recognized from the natural language utterance, as an output of the speech recognition engine; provide the words or phrases as an input to a conversational language processor; receive, from the conversational language processor, an interpretation of the natural language utterance based on the recognized words or phrases; determine a context for the natural language utterance based at least on the recognized words or phrases; determine that the natural language utterance includes a cross-application request based on the interpretation of the natural language utterance, the cross-application request comprising at least a first request and a second request to be serviced by different context-appropriate applications; provide the first request to a first application to service the first request; provide the second request to a second application to service the second request; select an advertisement based at least on the determined context and either or both of the first request or the second request; generate a service output responsive to the natural language utterance, the service output comprising: (i) a first output received from the first application responsive to the first request; (ii) a second output received from the second application responsive to the second request; and (iii) the selected advertisement; and provide the service output via an output device. 7. The system of claim 6 , wherein the one or more physical processors are further programmed to: map, via the speech recognition engine, a stream of phonemes contained in the natural language utterance to one or more syllables that are phonemically represented in an acoustic grammar to recognize the words or phrases; wherein to provide the words or phrases, the one or more physical processors are programmed to generate a preliminary interpretation for the natural language utterance from the one or more syllables; and wherein the preliminary interpretation generated from the one or more syllables includes the recognized words or phrases.
| 0.5 |
8,126,712 | 1 | 20 |
1. An information communication terminal configured to exchange at least speech information with a plurality of information communication terminals, comprising: a speech recognition module configured to recognize the speech information to identify a plurality of words based on the recognized speech information; a storage medium configured to store keyword extraction condition setting data in which conditions for extracting keywords are set; a keyword extraction module configured to read the keyword extraction condition setting data to extract a plurality of keywords from the plurality of words; a subject extraction processing module configured to: associate the plurality of words read by the keyword extraction module with knowledge network data in which the plurality of keywords and a route among the plurality of keywords are described in a network form, generate a plurality of word pairs in a predetermined order from the plurality of keywords, extract the shortest route connecting words in each word pair from the knowledge network data, give point values to each word on each of the shortest routes, count the point values given to the respective words, and extract a word having a relatively high point value as a subject word; a related information acquisition module configured to acquire related information related to the plurality of keywords; and a related information output module configured to provide the related information to a monitor.
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1. An information communication terminal configured to exchange at least speech information with a plurality of information communication terminals, comprising: a speech recognition module configured to recognize the speech information to identify a plurality of words based on the recognized speech information; a storage medium configured to store keyword extraction condition setting data in which conditions for extracting keywords are set; a keyword extraction module configured to read the keyword extraction condition setting data to extract a plurality of keywords from the plurality of words; a subject extraction processing module configured to: associate the plurality of words read by the keyword extraction module with knowledge network data in which the plurality of keywords and a route among the plurality of keywords are described in a network form, generate a plurality of word pairs in a predetermined order from the plurality of keywords, extract the shortest route connecting words in each word pair from the knowledge network data, give point values to each word on each of the shortest routes, count the point values given to the respective words, and extract a word having a relatively high point value as a subject word; a related information acquisition module configured to acquire related information related to the plurality of keywords; and a related information output module configured to provide the related information to a monitor. 20. The information communication terminal according to claim 1 , wherein the keyword extraction module uses knowledge network data in which data representing a semantic relation between two words by a distance are prepared for a plurality of words to calculate data of the shortest distance between extracted words to calculate, while excluding the shortest distance data equal to or higher than a fixed distance, a relation between extracted words to extract the keyword based on the calculation result of the relation.
| 0.634642 |
9,104,756 | 2 | 3 |
2. The method according to claim 1 , wherein (b) further comprises creating at least one web browser specific attribute CSS class for each of the geometric shapes.
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2. The method according to claim 1 , wherein (b) further comprises creating at least one web browser specific attribute CSS class for each of the geometric shapes. 3. The method according to claim 2 , wherein, for a given geometric shape that includes shape information and specific attributes other than shape information, the corresponding created shape CSS class stores the shape information and the corresponding created web browser specific attribute CSS class stores the specific attributes other than the shape information.
| 0.5 |
10,086,638 | 16 | 17 |
16. The method of claim 1 , wherein creating the spatial pattern precedes laminating the identification document.
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16. The method of claim 1 , wherein creating the spatial pattern precedes laminating the identification document. 17. The method of claim 16 , further comprising: subsequent to creating the spatial pattern, laminating the identification document.
| 0.5 |
8,615,388 | 8 | 9 |
8. One or more storage devices storing information to enable a computing device to perform a process for translating phrases of a human language to other phrases of the language, the process comprising: accessing training pairs comprising pairs of phrases in the human language, the training pairs comprising text queries in the human language submitted to a search engine and corresponding text sentences in the human language returned by the search engine when the text queries were submitted to the search engine, the training pairs formed by comparing the text queries and the text sentences to identify text queries that are similar to text sentences and pairing the identified text queries with the respective identified text sentences; training a statistical machine translation model with the training pairs by computing respective alignments of the training pairs, an alignment mapping words of a phrase with the words the phrase is paired to by inserting null words into the phrase or reordering words of the phrase, the statistical machine translation model being capable of computing probabilities that a target string in the human language is a valid translation of a given source string in the human language; receiving a text phrase in the human language, decoding the text phrase to different candidate translations of the text phrase in the human language, and using the statistical machine translation model to compute probabilities that the candidate translations are translations of the text phrase; and based on the probabilities, storing and/or displaying, by computer, one or more of the candidate translations.
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8. One or more storage devices storing information to enable a computing device to perform a process for translating phrases of a human language to other phrases of the language, the process comprising: accessing training pairs comprising pairs of phrases in the human language, the training pairs comprising text queries in the human language submitted to a search engine and corresponding text sentences in the human language returned by the search engine when the text queries were submitted to the search engine, the training pairs formed by comparing the text queries and the text sentences to identify text queries that are similar to text sentences and pairing the identified text queries with the respective identified text sentences; training a statistical machine translation model with the training pairs by computing respective alignments of the training pairs, an alignment mapping words of a phrase with the words the phrase is paired to by inserting null words into the phrase or reordering words of the phrase, the statistical machine translation model being capable of computing probabilities that a target string in the human language is a valid translation of a given source string in the human language; receiving a text phrase in the human language, decoding the text phrase to different candidate translations of the text phrase in the human language, and using the statistical machine translation model to compute probabilities that the candidate translations are translations of the text phrase; and based on the probabilities, storing and/or displaying, by computer, one or more of the candidate translations. 9. One or more storage devices according to claim 8 , wherein the training pairs comprise query strings submitted by users paired with listings that a search engine matched with the query strings.
| 0.82807 |
7,616,137 | 43 | 44 |
43. An electronic system, comprising: a memory operable to include first and second code portions and an address table; and a processor coupled to the memory and operable to store a first group of first code words in sequential locations of the first code portion of the memory, to store in the address table the respective starting location of the first group and the respective lengths of at least one of the first code words, and to store a second group of second code words in sequential locations of the second code portion of the memory, each second code word having a same length, a combination of each first code word with a corresponding second code word representing a respective software-program instruction.
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43. An electronic system, comprising: a memory operable to include first and second code portions and an address table; and a processor coupled to the memory and operable to store a first group of first code words in sequential locations of the first code portion of the memory, to store in the address table the respective starting location of the first group and the respective lengths of at least one of the first code words, and to store a second group of second code words in sequential locations of the second code portion of the memory, each second code word having a same length, a combination of each first code word with a corresponding second code word representing a respective software-program instruction. 44. The electronic system of claim 43 wherein the processor and the memory are disposed on a same semiconductor die.
| 0.5 |
9,177,557 | 5 | 6 |
5. The method of providing speech recognition functionality according to claim 1 , wherein each human speaker subspace contains only speaker related phoneme information.
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5. The method of providing speech recognition functionality according to claim 1 , wherein each human speaker subspace contains only speaker related phoneme information. 6. The method of providing speech recognition functionality according to claim 5 , wherein the speaker related phoneme information is speaker specific normalized data.
| 0.5 |
9,547,690 | 1 | 4 |
1. A method comprising: receiving a search query from a user during a user session; obtaining a plurality of prior search queries by the user received during the user session; generating a plurality of candidate query rewrites, wherein the candidate query rewrites are derived from the search query and the plurality of prior search queries by the user; scoring each candidate query rewrite, wherein scoring each candidate rewrite includes applying a plurality of scoring factors including a quality measure for each candidate query rewrite, and wherein the quality measure is based on an analysis of search results responsive to the candidate query rewrite; selecting a top scoring candidate query rewrite in response to determining that the score satisfies a threshold value; and providing search results responsive to the selected candidate query rewrite.
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1. A method comprising: receiving a search query from a user during a user session; obtaining a plurality of prior search queries by the user received during the user session; generating a plurality of candidate query rewrites, wherein the candidate query rewrites are derived from the search query and the plurality of prior search queries by the user; scoring each candidate query rewrite, wherein scoring each candidate rewrite includes applying a plurality of scoring factors including a quality measure for each candidate query rewrite, and wherein the quality measure is based on an analysis of search results responsive to the candidate query rewrite; selecting a top scoring candidate query rewrite in response to determining that the score satisfies a threshold value; and providing search results responsive to the selected candidate query rewrite. 4. The method of claim 1 , wherein generating the plurality of candidate query rewrites further comprises identifying queries from a collection of queries from a plurality of users that are similar to the search query.
| 0.631757 |
8,527,507 | 8 | 12 |
8. A computer for providing a customizable ranking model, comprising: a processor; the processor executing a process, wherein the process is adapted to: employ a text ranking formula for processing multiple text fields through the customizable ranking model; tune the customizable ranking model according to a language, a vertical, and a site experience; calculate scores using the text ranking formula according to a function of features defined in the customizable ranking model; add single terms to a thesaurus for synonym expansion in a query; determine term frequency in the text ranking formula utilizing number of times a term appears in a property of documents including the text fields while evaluating a length of the property as a number of terms, an average length of the property in a collection in the documents, a number of the documents in a corpus, the number of the documents containing the term, a weight of a field, and a weight of length normalization; represent elements of the customizable ranking model ranked according to the scores in XML through a schema; and employ a root level ranking model element with a query dependent features element and a query independent features element as child elements as a structure for the elements, wherein the query dependent features element has a child query dependent feature element including property identification, name, weight and length normalization attributes, and the query independent features element has a category feature element, a query independent feature element and a language feature element.
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8. A computer for providing a customizable ranking model, comprising: a processor; the processor executing a process, wherein the process is adapted to: employ a text ranking formula for processing multiple text fields through the customizable ranking model; tune the customizable ranking model according to a language, a vertical, and a site experience; calculate scores using the text ranking formula according to a function of features defined in the customizable ranking model; add single terms to a thesaurus for synonym expansion in a query; determine term frequency in the text ranking formula utilizing number of times a term appears in a property of documents including the text fields while evaluating a length of the property as a number of terms, an average length of the property in a collection in the documents, a number of the documents in a corpus, the number of the documents containing the term, a weight of a field, and a weight of length normalization; represent elements of the customizable ranking model ranked according to the scores in XML through a schema; and employ a root level ranking model element with a query dependent features element and a query independent features element as child elements as a structure for the elements, wherein the query dependent features element has a child query dependent feature element including property identification, name, weight and length normalization attributes, and the query independent features element has a category feature element, a query independent feature element and a language feature element. 12. The computer of claim 8 , wherein the schema represents another ranking model element that employs an arbitrary transform and associated parameters.
| 0.739726 |
7,519,589 | 139 | 140 |
139. The method of claim 136 , further comprising: performing an initial classification of the subset of the corpus of documents into a relevant set of reviewable documents.
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139. The method of claim 136 , further comprising: performing an initial classification of the subset of the corpus of documents into a relevant set of reviewable documents. 140. The method of claim 139 , further comprising: partitioning the corpus of documents in at least two sets.
| 0.5 |
8,122,034 | 1 | 15 |
1. A method of processing a search request received from a user operating a hand-held text input device, the search request directed at identifying a desired item from a set of items, each of the items having one or more associated terms, the method comprising: providing the set of items, the items having assigned popularity values to indicate a relative measure of a likelihood that the item is desired by the user; for each item, associating a set of terms to describe the item and assigning a relevance value for each term based on a relevance of the term in identifying the item, the terms associated with the items being organized into searchable subspace categories, each subspace category having a relevance bias value; receiving text on the hand-held text input device entered by the user, the text having one or more text characters of one or more prefixes for terms the user is using to identify a desired item; in response to receiving a text character, performing a first incremental find to compare the one or more user-entered prefixes with the terms associated with the items and to retrieve the relevance values for the one or more user-entered prefixes matching terms associated with the items; determining a first ranking order of items found in the first incremental find based at least in part on the retrieved relevance values and the assigned popularity values of the items found in the first incremental find; ordering and presenting one or more items to the user found in the first incremental find based on the first ranking order; in response to receiving at least one subsequent text character, performing a second incremental find to compare the one or more user-entered prefixes, including the at least one subsequent text character and any preceding text characters, with the terms associated with the items and to retrieve the relevance values for said one or more user-entered prefixes matching terms associated with the items; determining a count of the number of characters of text received from the user; adjusting the relevance value assigned to at least one of the terms associated with one or more of the items retrieved in response to the one or more user-entered prefixes, wherein the adjusting of the relevance value is based on the count of the number of text characters received from the user; determining a second ranking order of the items found in the second incremental find based at least in part on the adjusted relevance values and the assigned popularity values of the items found in the second incremental find; and ordering and presenting one or more items to the user based on the second ranking order so that the relative order of the items found in both the first and second incremental finds is adjusted as characters are entered; wherein at least one of determining the first ranking order and determining the second ranking order is further based on the relevance bias values of the subspace categories.
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1. A method of processing a search request received from a user operating a hand-held text input device, the search request directed at identifying a desired item from a set of items, each of the items having one or more associated terms, the method comprising: providing the set of items, the items having assigned popularity values to indicate a relative measure of a likelihood that the item is desired by the user; for each item, associating a set of terms to describe the item and assigning a relevance value for each term based on a relevance of the term in identifying the item, the terms associated with the items being organized into searchable subspace categories, each subspace category having a relevance bias value; receiving text on the hand-held text input device entered by the user, the text having one or more text characters of one or more prefixes for terms the user is using to identify a desired item; in response to receiving a text character, performing a first incremental find to compare the one or more user-entered prefixes with the terms associated with the items and to retrieve the relevance values for the one or more user-entered prefixes matching terms associated with the items; determining a first ranking order of items found in the first incremental find based at least in part on the retrieved relevance values and the assigned popularity values of the items found in the first incremental find; ordering and presenting one or more items to the user found in the first incremental find based on the first ranking order; in response to receiving at least one subsequent text character, performing a second incremental find to compare the one or more user-entered prefixes, including the at least one subsequent text character and any preceding text characters, with the terms associated with the items and to retrieve the relevance values for said one or more user-entered prefixes matching terms associated with the items; determining a count of the number of characters of text received from the user; adjusting the relevance value assigned to at least one of the terms associated with one or more of the items retrieved in response to the one or more user-entered prefixes, wherein the adjusting of the relevance value is based on the count of the number of text characters received from the user; determining a second ranking order of the items found in the second incremental find based at least in part on the adjusted relevance values and the assigned popularity values of the items found in the second incremental find; and ordering and presenting one or more items to the user based on the second ranking order so that the relative order of the items found in both the first and second incremental finds is adjusted as characters are entered; wherein at least one of determining the first ranking order and determining the second ranking order is further based on the relevance bias values of the subspace categories. 15. The method of claim 1 , wherein a computer remote from the user performs at least one of the steps of receiving text entered by the user, performing the first incremental find, determining the first ranking order, performing the second incremental find, determining the count of the number of characters of text received, adjusting the relevance values of the terms associated with the items, and determining the second ranking order.
| 0.5 |
7,788,248 | 1 | 3 |
1. A machine-implemented method comprising: receiving first search input within a search field of a web browser application; determining, based on characteristics of the first search input, whether the first search input triggers an automatic submission of a first query to a search engine; determining, based on characteristics of the first search input, whether to delay the trigger for automatic submission, wherein the first query is automatically submitted to the search engine if the first search input satisfies a temporal trigger, wherein the temporal trigger is based upon a connection speed to the search engine; automatically submitting the first query to the search engine, the first query based on the received first search input; and displaying, within the web browser application, a first results web page returned from the first query submitted to the search engine.
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1. A machine-implemented method comprising: receiving first search input within a search field of a web browser application; determining, based on characteristics of the first search input, whether the first search input triggers an automatic submission of a first query to a search engine; determining, based on characteristics of the first search input, whether to delay the trigger for automatic submission, wherein the first query is automatically submitted to the search engine if the first search input satisfies a temporal trigger, wherein the temporal trigger is based upon a connection speed to the search engine; automatically submitting the first query to the search engine, the first query based on the received first search input; and displaying, within the web browser application, a first results web page returned from the first query submitted to the search engine. 3. The method of claim 1 , wherein the search input includes a portion of a keyword.
| 0.949214 |
9,678,943 | 4 | 6 |
4. A computing device comprising: at least one processor; a display device operatively coupled to the computing device; a presence-sensitive input device operatively coupled to the computing device; and at least one module operable by the at least one processor to: output, for display at the display device, a graphical keyboard comprising a plurality of keys; receive an indication of a gesture entered by an input unit detected at a plurality of locations of the presence-sensitive input device to select fewer than all of a group of the plurality of keys that corresponds to a candidate word; responsive to determining, based on the at least one input unit being detected at a particular location from the plurality of locations, that the gesture has not yet terminated: determine, based on the gesture, that the candidate word is a most likely candidate word of a plurality of candidate words associated with respective keys of the plurality of keys; responsive to determining that a speed of the gesture is below a threshold, output, for display at a first location of the display device that is associated with the particular location from the plurality of locations of the presence-sensitive input device, the candidate word; and responsive to determining, based on the at least one input unit no longer being detected at the presence-sensitive input device, that the gesture has terminated prior to selecting all of the group of the plurality of keys that corresponds to the candidate word, output, for display at a second location of the display device that corresponds to a text entry area, the candidate word.
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4. A computing device comprising: at least one processor; a display device operatively coupled to the computing device; a presence-sensitive input device operatively coupled to the computing device; and at least one module operable by the at least one processor to: output, for display at the display device, a graphical keyboard comprising a plurality of keys; receive an indication of a gesture entered by an input unit detected at a plurality of locations of the presence-sensitive input device to select fewer than all of a group of the plurality of keys that corresponds to a candidate word; responsive to determining, based on the at least one input unit being detected at a particular location from the plurality of locations, that the gesture has not yet terminated: determine, based on the gesture, that the candidate word is a most likely candidate word of a plurality of candidate words associated with respective keys of the plurality of keys; responsive to determining that a speed of the gesture is below a threshold, output, for display at a first location of the display device that is associated with the particular location from the plurality of locations of the presence-sensitive input device, the candidate word; and responsive to determining, based on the at least one input unit no longer being detected at the presence-sensitive input device, that the gesture has terminated prior to selecting all of the group of the plurality of keys that corresponds to the candidate word, output, for display at a second location of the display device that corresponds to a text entry area, the candidate word. 6. The computing device of claim 4 , wherein the at least one module operable is further operable by the at least one processor to: determine the gesture while the at least one input unit is within a threshold distance of the presence-sensitive input device, and responsive to determining that the at least one input unit is no longer within the threshold distance of the presence-sensitive input device, determine the gesture has terminated.
| 0.5 |
9,104,391 | 1 | 6 |
1. A system for use in adaptively updating template candidate order sets, comprising: a repository of information comprising a plurality of candidate order sets individually including a plurality of candidate items for order and associated corresponding related order parameters, an individual item for order being associated with a plurality of related order parameters; a data entry monitor for monitoring user selection of candidate items from a candidate order set acquired from said repository and recording candidate item usage data identifying items selected by a user for order from individual particular candidate order sets for a plurality of different candidate order sets; and a data processor device for determining from the recorded candidate item usage data parameters comprising at least one of, (a) data indicative of the number or proportion of candidate items of a particular candidate order set that were selected by a user during order entry and (b) data indicative of the number or proportion of candidate items of a particular candidate order set that were not selected by a user during order entry, said data processor device automatically identifies, based on the determined parameters, a candidate order set from the plurality of candidate order sets to be updated.
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1. A system for use in adaptively updating template candidate order sets, comprising: a repository of information comprising a plurality of candidate order sets individually including a plurality of candidate items for order and associated corresponding related order parameters, an individual item for order being associated with a plurality of related order parameters; a data entry monitor for monitoring user selection of candidate items from a candidate order set acquired from said repository and recording candidate item usage data identifying items selected by a user for order from individual particular candidate order sets for a plurality of different candidate order sets; and a data processor device for determining from the recorded candidate item usage data parameters comprising at least one of, (a) data indicative of the number or proportion of candidate items of a particular candidate order set that were selected by a user during order entry and (b) data indicative of the number or proportion of candidate items of a particular candidate order set that were not selected by a user during order entry, said data processor device automatically identifies, based on the determined parameters, a candidate order set from the plurality of candidate order sets to be updated. 6. A system according to claim 1 , wherein said data processor device identifies individual candidate items of said candidate item usage data that were most frequently selected.
| 0.72082 |
9,092,424 | 6 | 16 |
6. In a computing environment, a system comprising; at least one processor; a computer readable storage medium communicatively coupled to the at least one processor and including components comprising; a framework configured to process a webpage to understand one or more entities of the webpage, the framework including a text understanding component and a structure understanding component for enabling bidirectional integration of webpage structure understanding and text understanding in an iterative manner until an iteration similarity stop criterion is met, the text understanding component configured to provide text-related data to the structure understanding component for identifying a structure of the webpage, the structure understanding component configured to use the text-related data and visual layout features of the webpage to produce a labeled block, the text understanding component configured to use the labeled block to understand text of the one or more entities.
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6. In a computing environment, a system comprising; at least one processor; a computer readable storage medium communicatively coupled to the at least one processor and including components comprising; a framework configured to process a webpage to understand one or more entities of the webpage, the framework including a text understanding component and a structure understanding component for enabling bidirectional integration of webpage structure understanding and text understanding in an iterative manner until an iteration similarity stop criterion is met, the text understanding component configured to provide text-related data to the structure understanding component for identifying a structure of the webpage, the structure understanding component configured to use the text-related data and visual layout features of the webpage to produce a labeled block, the text understanding component configured to use the labeled block to understand text of the one or more entities. 16. The system of claim 6 wherein the framework is further configured to output results comprising labels for the one or more entities of the webpage.
| 0.773414 |
9,275,052 | 4 | 6 |
4. The server system of claim 1 , the acts further comprising synchronizing content stored on the first eBook reader device with the data store.
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4. The server system of claim 1 , the acts further comprising synchronizing content stored on the first eBook reader device with the data store. 6. The server system of claim 4 , wherein the synchronization is performed in response to a change in content stored on the first or second eBook reader device.
| 0.5 |
9,686,423 | 7 | 11 |
7. A method comprising: receiving, by a scanner, a request from a user to register a plurality of remote computing devices at the scanner for remotely assigning metadata to a scanned document generated by the scanner; generating, by the scanner, the scanned document for the user; holding, by the scanner, the scanned document pending a data entry activity by the user at one of the plurality of remote computing devices; identifying, by the scanner, a workflow associated with the scanned document; identifying, by the scanner, the metadata for the scanned document based on the workflow; identifying, by the scanner, one of the plurality of remote computing devices for performing the data entry activity by the user from the plurality of remote computing devices that are registered at the scanner; generating, by the scanner, a web page that requests the metadata based on the workflow; providing, by the scanner, a Hypertext Transfer Protocol (HTTP) link for the web page to the one of the plurality of remote computing devices; receiving, by the scanner, a request from the one of the plurality of remote computing devices for the web page; providing, by the scanner, the web page to the one of the plurality of remote computing devices for entering the metadata for the scanned document from the user; receiving, by the scanner, the metadata for the scanned document utilizing the web page provided to the one of the plurality of remote computing devices; assigning, by the scanner, the metadata received from the web page provided to the one of the plurality of remote computing devices to the scanned document; and releasing, by the scanner, the scanned document to a scan destination.
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7. A method comprising: receiving, by a scanner, a request from a user to register a plurality of remote computing devices at the scanner for remotely assigning metadata to a scanned document generated by the scanner; generating, by the scanner, the scanned document for the user; holding, by the scanner, the scanned document pending a data entry activity by the user at one of the plurality of remote computing devices; identifying, by the scanner, a workflow associated with the scanned document; identifying, by the scanner, the metadata for the scanned document based on the workflow; identifying, by the scanner, one of the plurality of remote computing devices for performing the data entry activity by the user from the plurality of remote computing devices that are registered at the scanner; generating, by the scanner, a web page that requests the metadata based on the workflow; providing, by the scanner, a Hypertext Transfer Protocol (HTTP) link for the web page to the one of the plurality of remote computing devices; receiving, by the scanner, a request from the one of the plurality of remote computing devices for the web page; providing, by the scanner, the web page to the one of the plurality of remote computing devices for entering the metadata for the scanned document from the user; receiving, by the scanner, the metadata for the scanned document utilizing the web page provided to the one of the plurality of remote computing devices; assigning, by the scanner, the metadata received from the web page provided to the one of the plurality of remote computing devices to the scanned document; and releasing, by the scanner, the scanned document to a scan destination. 11. The method of claim 7 , wherein: the one of the plurality of remote computing devices comprises a mobile device configured to receive the HTTP link from the scanner utilizing a wireless network, and to provide the metadata to the scanner via the wireless network utilizing the web page.
| 0.5 |
8,358,703 | 34 | 36 |
34. A method comprising: accessing, without initially decoding, a modified set of arithmetically coded data including a modified first coded portion and a second coded portion, the modified first coded portion resulting from a modification of a first arithmetically coded portion, wherein the modified first coded portion and the second coded portion have been coded with a code having memory, such that decoding the second coded portion relies on an output from decoding the modified first coded portion; decoding the second coded portion to produce a common result, wherein the common result is the same whether decoding of the second coded portion is performed based on an output from decoding the first arithmetically coded portion or an output from decoding the modified first coded portion, wherein the modified first coded portion generates a Context-based Adaptive Binary Arithmetic Coding (CABAC) state value that is the same as a CABAC state value generated by the first arithmetically coded portion; and decoding the modified first coded portion.
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34. A method comprising: accessing, without initially decoding, a modified set of arithmetically coded data including a modified first coded portion and a second coded portion, the modified first coded portion resulting from a modification of a first arithmetically coded portion, wherein the modified first coded portion and the second coded portion have been coded with a code having memory, such that decoding the second coded portion relies on an output from decoding the modified first coded portion; decoding the second coded portion to produce a common result, wherein the common result is the same whether decoding of the second coded portion is performed based on an output from decoding the first arithmetically coded portion or an output from decoding the modified first coded portion, wherein the modified first coded portion generates a Context-based Adaptive Binary Arithmetic Coding (CABAC) state value that is the same as a CABAC state value generated by the first arithmetically coded portion; and decoding the modified first coded portion. 36. The method of claim 34 wherein the modified first coded portion is at least part of a watermark included in the modified set of data.
| 0.764605 |
9,645,999 | 1 | 19 |
1. A method of modifying semantic similarity graphs representative of pair-wise similarity between documents in a corpus, the method comprising: obtaining, with one or more processors, a semantic similarity graph that comprises more than 500 nodes and more than 1000 weighted edges, each node representing a document of a corpus, and each edge weight indicating an amount of similarity between a pair of documents corresponding to the respective nodes connected by the respective edge; after obtaining the semantic similarity graph, obtaining, with one or more processors, a n-gram indicating a request that edge weights affected by the n-gram are to be increased or decreased; expanding, with one or more processors, the n-gram to produce a set of expansion n-grams, wherein expanding the n-gram comprises: determining which documents in at least part of the corpus contain the n-gram to form a first set of documents; determining which documents in at least part of the corpus do not contain the n-gram to form a second set of documents, the first set of documents and the second set of documents each including more than 20 documents; selecting a set of candidate n-grams from the first set of documents, the set of candidate n-grams having more than five n-grams; determining an amount of times each candidate n-gram occurs in the first set of documents to form a first amount; determining an amount of times each candidate n-gram occurs in the second set of documents to form a second amount; determining, for each of the candidate n-grams, a candidate n-gram score based on the first amount and the second amount, wherein the candidate n-gram scores tends to increase or decrease as a ratio of the first amount to the second amount increases or decreases; and selecting expansion n-grams based on the candidate n-gram scores, the expansion n-grams and n-gram collectively forming an adjustment n-gram set; adjusting, with one or more processors, edge weights of the semantic similarity graph of edges between pairs of documents in which members of the adjustment n-gram set co-occur in response to determining that the respective documents contain a member of the adjustment n-gram set, wherein the expansion n-grams are inferred to be conceptually related to the obtained n-gram indicating the request, and wherein the expansion n-grams cause the adjustment of edge weights to be a more comprehensive response to the request than an adjustment based solely on the obtained n-gram indicating the request; and storing the adjusted weights in memory.
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1. A method of modifying semantic similarity graphs representative of pair-wise similarity between documents in a corpus, the method comprising: obtaining, with one or more processors, a semantic similarity graph that comprises more than 500 nodes and more than 1000 weighted edges, each node representing a document of a corpus, and each edge weight indicating an amount of similarity between a pair of documents corresponding to the respective nodes connected by the respective edge; after obtaining the semantic similarity graph, obtaining, with one or more processors, a n-gram indicating a request that edge weights affected by the n-gram are to be increased or decreased; expanding, with one or more processors, the n-gram to produce a set of expansion n-grams, wherein expanding the n-gram comprises: determining which documents in at least part of the corpus contain the n-gram to form a first set of documents; determining which documents in at least part of the corpus do not contain the n-gram to form a second set of documents, the first set of documents and the second set of documents each including more than 20 documents; selecting a set of candidate n-grams from the first set of documents, the set of candidate n-grams having more than five n-grams; determining an amount of times each candidate n-gram occurs in the first set of documents to form a first amount; determining an amount of times each candidate n-gram occurs in the second set of documents to form a second amount; determining, for each of the candidate n-grams, a candidate n-gram score based on the first amount and the second amount, wherein the candidate n-gram scores tends to increase or decrease as a ratio of the first amount to the second amount increases or decreases; and selecting expansion n-grams based on the candidate n-gram scores, the expansion n-grams and n-gram collectively forming an adjustment n-gram set; adjusting, with one or more processors, edge weights of the semantic similarity graph of edges between pairs of documents in which members of the adjustment n-gram set co-occur in response to determining that the respective documents contain a member of the adjustment n-gram set, wherein the expansion n-grams are inferred to be conceptually related to the obtained n-gram indicating the request, and wherein the expansion n-grams cause the adjustment of edge weights to be a more comprehensive response to the request than an adjustment based solely on the obtained n-gram indicating the request; and storing the adjusted weights in memory. 19. The method of claim 1 , further comprising: determining expansion n-grams of a plurality of n-grams to form a plurality of adjustment n-gram sets; and detecting and removing duplicate expansion n-grams of the plurality of adjustment n-gram sets.
| 0.885042 |
9,946,514 | 1 | 6 |
1. A computer implemented method for generating functional application designs, the method comprising: receiving, by a design tool, one or more natural language utterances corresponding to natural language design commands for editing an application being designed; editing, by the design tool, one or more components of the application being designed based on each of the natural language utterances; and generating, by the design tool, a functional instance of the application being designed, wherein generating the functional instance of the application being designed comprises: analyzing, by a natural language processor, a natural language utterance from the one or more natural language utterances to extract one or more entities from the natural language utterance, wherein each of the extracted one or more entities is a component part of the natural language utterance; determining, by a machine learning based natural language intent processor, an intent of the natural language utterance with respect to the application being designed; determining, by the machine learning based natural language intent processor, an action that implements the determined intent in the application being designed, wherein the one or more extracted entities are variables that define the determined intent in the design command; executing, by the design tool, the design command that creates or modifies a component in the application being designed based on the determined action; and saving, by the design tool, the application being designed as a workspace that includes the created or modified component.
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1. A computer implemented method for generating functional application designs, the method comprising: receiving, by a design tool, one or more natural language utterances corresponding to natural language design commands for editing an application being designed; editing, by the design tool, one or more components of the application being designed based on each of the natural language utterances; and generating, by the design tool, a functional instance of the application being designed, wherein generating the functional instance of the application being designed comprises: analyzing, by a natural language processor, a natural language utterance from the one or more natural language utterances to extract one or more entities from the natural language utterance, wherein each of the extracted one or more entities is a component part of the natural language utterance; determining, by a machine learning based natural language intent processor, an intent of the natural language utterance with respect to the application being designed; determining, by the machine learning based natural language intent processor, an action that implements the determined intent in the application being designed, wherein the one or more extracted entities are variables that define the determined intent in the design command; executing, by the design tool, the design command that creates or modifies a component in the application being designed based on the determined action; and saving, by the design tool, the application being designed as a workspace that includes the created or modified component. 6. The method of claim 1 , further comprising: determining a context associated with the application begin designed, wherein the context comprises an environment in which the application being designed will be executed, a set of one or more components that make up the application being designed, a placement of one or more components, a structure of one or more pages of a design, or a combination thereof; and determining the intent, based at least in part, on the determined context.
| 0.715123 |
7,742,611 | 1 | 4 |
1. A hearing aid, comprising: a memory for storing first and second data characteristics of a first and respectively a second language; a processing unit for processing an input signal, the processing unit configured to selectively process the input signal based either on the first or on the second data, wherein the first and second characteristic data each comprise a language-specific amplification pattern having a plurality of amplification factors corresponding to a plurality of frequency bands; and a language recognition unit for automatically identifying a language associated with the input signal, wherein the processing unit is configured to amplify the input signal relative to the plurality of frequency bands based on the identified language.
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1. A hearing aid, comprising: a memory for storing first and second data characteristics of a first and respectively a second language; a processing unit for processing an input signal, the processing unit configured to selectively process the input signal based either on the first or on the second data, wherein the first and second characteristic data each comprise a language-specific amplification pattern having a plurality of amplification factors corresponding to a plurality of frequency bands; and a language recognition unit for automatically identifying a language associated with the input signal, wherein the processing unit is configured to amplify the input signal relative to the plurality of frequency bands based on the identified language. 4. The hearing aid according to claim 1 , wherein the processing unit comprises a plurality of selectable hearing programs, each hearing programs related to a specific language.
| 0.613537 |
5,499,108 | 43 | 47 |
43. A document-driven system comprising a document scanner, said scanner, in response to placement of a document by a user, scanning the document and generating image data representing the image of the document, wherein said placement alone is sufficient to initiate said scanning and generating, and a computer, said computer communicating with said document scanner, said computer displaying a visual representation of said image data generated in response to said placement.
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43. A document-driven system comprising a document scanner, said scanner, in response to placement of a document by a user, scanning the document and generating image data representing the image of the document, wherein said placement alone is sufficient to initiate said scanning and generating, and a computer, said computer communicating with said document scanner, said computer displaying a visual representation of said image data generated in response to said placement. 47. A system according to claim 43 wherein said computer periodically polls said scanner to determine whether a document has been placed by a user.
| 0.706 |
9,378,209 | 12 | 13 |
12. The system of claim 11 , wherein providing the video segment comprises: identifying a first location within the television show that is prior to the quote; identifying a second location within the television show that is after the quote; and creating the video segment based on a portion of the television show that is between the first location and the second location.
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12. The system of claim 11 , wherein providing the video segment comprises: identifying a first location within the television show that is prior to the quote; identifying a second location within the television show that is after the quote; and creating the video segment based on a portion of the television show that is between the first location and the second location. 13. The system of claim 12 , wherein: the first location is associated with a beginning of a first scene in the television show; and the second location is associated with an end of a second scene in the television show.
| 0.5 |
4,597,055 | 19 | 22 |
19. An improved electronic translator according to claim 17, wherein the words are marked by enclosing them in parenthesis.
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19. An improved electronic translator according to claim 17, wherein the words are marked by enclosing them in parenthesis. 22. An improved electronic translator according to claim 19, wherein a plurality of related words are enclosed within parenthesis.
| 0.682927 |
9,978,182 | 1 | 8 |
1. A method of operating a virtual image generation system, the method comprising: allowing an end user to visualize an object of interest in a three-dimensional scene; spatially associating a text region within a field of view of the user, wherein the text region is spatially associated with the object of interest; generating a gesture reference associated with the object of interest; generating a textual message that identifies at least one characteristic of the object of interest; streaming the textual message within the text region; sensing gestural commands from the end user by detecting an angular position of an anatomical part of the end user relative to a plurality of different regions of the gesture reference; and controlling the streaming of the textual message in response to the sensed gestural commands, wherein the gesture reference is an annular ring surrounding the object of interest, and wherein a first side of the annular ring forms one of the different regions, and a second side of the annular ring opposite of the first side of the annular ring forms another one of the different regions.
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1. A method of operating a virtual image generation system, the method comprising: allowing an end user to visualize an object of interest in a three-dimensional scene; spatially associating a text region within a field of view of the user, wherein the text region is spatially associated with the object of interest; generating a gesture reference associated with the object of interest; generating a textual message that identifies at least one characteristic of the object of interest; streaming the textual message within the text region; sensing gestural commands from the end user by detecting an angular position of an anatomical part of the end user relative to a plurality of different regions of the gesture reference; and controlling the streaming of the textual message in response to the sensed gestural commands, wherein the gesture reference is an annular ring surrounding the object of interest, and wherein a first side of the annular ring forms one of the different regions, and a second side of the annular ring opposite of the first side of the annular ring forms another one of the different regions. 8. The method of claim 1 , wherein the gesture reference is the object of interest.
| 0.907159 |
9,418,305 | 9 | 11 |
9. A system for segmentation free license plate recognition, said system comprising: at least one processor; and a computer-usable medium embodying computer program code, said computer-usable medium capable of communicating with said at least one processor, said computer program code comprising instructions executable by said at least one processor and configured for: sweeping an OCR classifier across an image of a license plate; inferring characters and their locations with respect to said image of said license plate using probabilistic inference based on at least one Hidden Markov Model (HMM); combining a language model comprising a Naïve Bayes classifier using a MOSCount feature and a codeLength feature, with at least one license plate candidate from said at least one HMM to infer an optimal license plate code; and identifying a state of origin for said license olate according to said optimal license plate code.
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9. A system for segmentation free license plate recognition, said system comprising: at least one processor; and a computer-usable medium embodying computer program code, said computer-usable medium capable of communicating with said at least one processor, said computer program code comprising instructions executable by said at least one processor and configured for: sweeping an OCR classifier across an image of a license plate; inferring characters and their locations with respect to said image of said license plate using probabilistic inference based on at least one Hidden Markov Model (HMM); combining a language model comprising a Naïve Bayes classifier using a MOSCount feature and a codeLength feature, with at least one license plate candidate from said at least one HMM to infer an optimal license plate code; and identifying a state of origin for said license olate according to said optimal license plate code. 11. The system of claim 9 further comprising an image-capturing unit, wherein said image of said license plate is captured with an image-capturing unit and wherein said image-capturing unit communicates with said at least one processor.
| 0.556391 |
8,777,626 | 3 | 4 |
3. The method of claim 1 , further comprising the step of performing the visual and auditory drill of the current letter symbol on the student's client device by the phonics component by performing the following steps: presenting on the student's client device a video or animation of a speaker or character at least pronouncing a name of the current letter symbol or a grapheme drill, pronouncing a name of a picture which is associated with the sound of the current letter symbol or a picture association drill, and pronouncing the sound the current letter symbol makes or a phoneme drill; prompting the student to perform the grapheme drill, the picture association drill and the phoneme drill as on the video, one at a time, by pronouncing the name of the current letter symbol, pronouncing the name of the picture associated with the current letter symbol and pronouncing the sound the current letter symbol makes; receiving a recording of the student's pronunciations during the grapheme drill, the picture association drill and the phoneme drill from the student's client device over the communications network; analyzing the recording to determine a visual/auditory score; and storing the recording of the student's pronunciations and the student's visual/auditory score in the database.
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3. The method of claim 1 , further comprising the step of performing the visual and auditory drill of the current letter symbol on the student's client device by the phonics component by performing the following steps: presenting on the student's client device a video or animation of a speaker or character at least pronouncing a name of the current letter symbol or a grapheme drill, pronouncing a name of a picture which is associated with the sound of the current letter symbol or a picture association drill, and pronouncing the sound the current letter symbol makes or a phoneme drill; prompting the student to perform the grapheme drill, the picture association drill and the phoneme drill as on the video, one at a time, by pronouncing the name of the current letter symbol, pronouncing the name of the picture associated with the current letter symbol and pronouncing the sound the current letter symbol makes; receiving a recording of the student's pronunciations during the grapheme drill, the picture association drill and the phoneme drill from the student's client device over the communications network; analyzing the recording to determine a visual/auditory score; and storing the recording of the student's pronunciations and the student's visual/auditory score in the database. 4. The method of claim 3 , wherein the step of analyzing the recording comprise the step of calculating the visual/auditory score by comparing the sounds spoken by the student to correct sounds by a speech recognition engine of the server, the speech recognition engine comprising a library of correct sounds.
| 0.5 |
8,489,635 | 7 | 8 |
7. The method of claim 1 wherein each said feature comprises a specific pair of adjacent alpha-numeric letters.
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7. The method of claim 1 wherein each said feature comprises a specific pair of adjacent alpha-numeric letters. 8. The method of claim 7 wherein for each feature in each said authorized user typing profile, the trial values of the feature comprises, a feature interval I j centered about a mean μ j of the feature values associated with the j th feature for the associated authorized user, as measured in the trial typing sample, and an estimated probability AP j that a feature value will be within a said associated feature interval.
| 0.5 |
8,745,077 | 18 | 24 |
18. The method of claim 1 wherein the determining the match score comprises determining an edit distance between the Latin-based input data string and a Latin-based representation of a language text string in the one or more candidate records.
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18. The method of claim 1 wherein the determining the match score comprises determining an edit distance between the Latin-based input data string and a Latin-based representation of a language text string in the one or more candidate records. 24. The method of claim 18 wherein the determining the match score comprises normalizing the edit distance.
| 0.538793 |
9,135,244 | 1 | 9 |
1. A method for transforming an input data stream comprising data that is expressed in a non-linguistic format into a format that can be expressed linguistically in a textual output, the method comprising: accessing a document plan containing one or more messages, wherein messages represent a phrase or a simple sentence and are created in an instance in which the input data stream comprises data that satisfies one or more message requirements; generating a text specification containing one or more phrase specifications that correspond to the one or more messages in the document plan; applying, using a processor, a set of lexicalization rules to each of the one or more messages to populate the one or more phrase specifications, wherein the set of lexicalization rules are specified using a microplanning rule specification language that is configured to hide linguistic complexities from a user and comprise a set of message-level rules and a set of slot-level rules; and realizing the text specification to generate a textual output that linguistically describes at least a portion of the input data stream, wherein the textual output is displayable via a user interface.
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1. A method for transforming an input data stream comprising data that is expressed in a non-linguistic format into a format that can be expressed linguistically in a textual output, the method comprising: accessing a document plan containing one or more messages, wherein messages represent a phrase or a simple sentence and are created in an instance in which the input data stream comprises data that satisfies one or more message requirements; generating a text specification containing one or more phrase specifications that correspond to the one or more messages in the document plan; applying, using a processor, a set of lexicalization rules to each of the one or more messages to populate the one or more phrase specifications, wherein the set of lexicalization rules are specified using a microplanning rule specification language that is configured to hide linguistic complexities from a user and comprise a set of message-level rules and a set of slot-level rules; and realizing the text specification to generate a textual output that linguistically describes at least a portion of the input data stream, wherein the textual output is displayable via a user interface. 9. The method according to claim 1 , wherein the microplanning rule specification language is configured to express syntactic constituents using one or more slot-level rules, the microplanning rule specification language is configured to express syntactic constituents within a noun phrase using at least one of a determiner, specifier, noun, modifier, premodifier or post modifier.
| 0.5 |
7,979,793 | 10 | 12 |
10. A system for extracting enterprise resource planning data, the system comprising: a memory storing computer-executable instructions of: a template creation component configured to create a conversion template by receiving an identification of fields of the data, receiving a user-created template document containing references to the identified fields, each reference being in a target display format specified by the user and the references being arranged in a target layout specified by the user, the target display formats and the target layout specifying a target model, and creating rules for converting the data from a source model to the target model specified by the user-created template document, wherein the created rules are stored in the conversion template; a source document input component configured to receive a source document containing exported data formatted according to the source model; and a transformation component configured to apply the rules of the conversion template to convert the exported data of the source document into an output document with the exported data of the output document with the target display formats and the target layout as specified by the target model of the user-created template document; and a processor that executes the computer-executable instructions stored in the memory.
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10. A system for extracting enterprise resource planning data, the system comprising: a memory storing computer-executable instructions of: a template creation component configured to create a conversion template by receiving an identification of fields of the data, receiving a user-created template document containing references to the identified fields, each reference being in a target display format specified by the user and the references being arranged in a target layout specified by the user, the target display formats and the target layout specifying a target model, and creating rules for converting the data from a source model to the target model specified by the user-created template document, wherein the created rules are stored in the conversion template; a source document input component configured to receive a source document containing exported data formatted according to the source model; and a transformation component configured to apply the rules of the conversion template to convert the exported data of the source document into an output document with the exported data of the output document with the target display formats and the target layout as specified by the target model of the user-created template document; and a processor that executes the computer-executable instructions stored in the memory. 12. The system of claim 10 wherein the data of the source document is located using one or more XPath instructions for locating data.
| 0.611111 |
9,633,013 | 2 | 3 |
2. The computer-implemented method of claim 1 , further comprising: identifying the rendered document, based on the optically captured sequence of symbols; and identifying, from a corpus of electronic documents, an electronic document that corresponds to the rendered document, wherein transmitting the instruction to the document management system includes specifying that the selected action is to be performed on the electronic document.
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2. The computer-implemented method of claim 1 , further comprising: identifying the rendered document, based on the optically captured sequence of symbols; and identifying, from a corpus of electronic documents, an electronic document that corresponds to the rendered document, wherein transmitting the instruction to the document management system includes specifying that the selected action is to be performed on the electronic document. 3. The computer-implemented method of claim 2 , wherein determining that the sequence of symbols includes a particular keyword that has been mapped to one or more actions comprises accessing a document action map that corresponds to the rendered document and identifies actions to be performed in response to capturing keywords in the identified rendered document.
| 0.5 |
8,798,139 | 1 | 2 |
1. A method for lossless compression of video data in a synchronous pipelined environment, the method comprising: converting, through binarization, one or more syntax elements into ordered bins, the ordered bins comprising at least a first bin followed by a second bin; requesting, by a first context model lookup module, a first context model based on the first bin; requesting, by a second context model lookup module, a second context model based on the second bin; receiving, at a first encoder coupled to the first context model lookup module, the first bin and the first context model; receiving, at a second encoder coupled to the second context model lookup module the second bin and the second context model; encoding, by the first encoder, the first bin based at least in part on the first context model within a clock cycle to produce a first encoded bit; encoding, by the second encoder, the second bin based at least in part on the second context model within the same clock cycle to produce a second encoded bit; combining the first encoded bit and a second encoded bit to form an encoded bitstream; and outputting the one encoded bitstream.
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1. A method for lossless compression of video data in a synchronous pipelined environment, the method comprising: converting, through binarization, one or more syntax elements into ordered bins, the ordered bins comprising at least a first bin followed by a second bin; requesting, by a first context model lookup module, a first context model based on the first bin; requesting, by a second context model lookup module, a second context model based on the second bin; receiving, at a first encoder coupled to the first context model lookup module, the first bin and the first context model; receiving, at a second encoder coupled to the second context model lookup module the second bin and the second context model; encoding, by the first encoder, the first bin based at least in part on the first context model within a clock cycle to produce a first encoded bit; encoding, by the second encoder, the second bin based at least in part on the second context model within the same clock cycle to produce a second encoded bit; combining the first encoded bit and a second encoded bit to form an encoded bitstream; and outputting the one encoded bitstream. 2. The method of claim 1 , further comprising: requesting the first context model and the second context model from a context model table; updating, by the first encoder, the first context model based at least in part on the first bin; updating, by the second encoder, the second context model based at least in part on the second bin; and transmitting the updated first context model and updated second context model to the context model table for storage.
| 0.623558 |
9,443,511 | 60 | 70 |
60. A non-transitory computer-readable medium comprising instructions for recognizing an environmental sound at a client device, the instructions causing a processor to perform operations comprising: accessing a client database including a plurality of sound models representing environmental sounds and a plurality of labels, wherein each of the plurality of labels identifies at least one of the plurality of sound models; receiving an input environmental sound and generating an input sound model based on the input environmental sound; determining similarity values between the input sound model and the plurality of sound models to identify one or more sound models of the plurality of sound models that are similar to the input sound model; selecting a first label from one or more labels, of the plurality of labels, associated with the one or more sound models; associating the first label with the input environmental sound based on a confidence level of the first label; and if the confidence level is less than a confidence threshold: transmitting the input sound model to a server; and receiving a second label identifying the input environmental sound from the server.
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60. A non-transitory computer-readable medium comprising instructions for recognizing an environmental sound at a client device, the instructions causing a processor to perform operations comprising: accessing a client database including a plurality of sound models representing environmental sounds and a plurality of labels, wherein each of the plurality of labels identifies at least one of the plurality of sound models; receiving an input environmental sound and generating an input sound model based on the input environmental sound; determining similarity values between the input sound model and the plurality of sound models to identify one or more sound models of the plurality of sound models that are similar to the input sound model; selecting a first label from one or more labels, of the plurality of labels, associated with the one or more sound models; associating the first label with the input environmental sound based on a confidence level of the first label; and if the confidence level is less than a confidence threshold: transmitting the input sound model to a server; and receiving a second label identifying the input environmental sound from the server. 70. The non-transitory computer-readable medium of claim 60 , wherein the operations further comprise: receiving location information associated with the input sound model, wherein the client database further includes information corresponding to at least one of a location or a time associated with each of the plurality of sound models.
| 0.64346 |
4,627,091 | 6 | 9 |
6. In a speech recognition system, an apparatus for storing speech parameters, said apparatus comprising: transducer means responsive to acoustic energy for transforming said acoustic energy into analog electric signals, wherein said acoustic energy comprises voiced speech, unvoiced speech and background noise; signal processing means for converting said analog signals to substantially equivalent forms of speech parameters and for sampling said speech parameters at a predetermined sampling rate; first storage means coupled to said signal processing means for temporarily storing a plurality of samples of said speech parameters from said signal processing means; a binary adder coupled to said signal processing means for computing the average signal level of samples of said speech parameters from said signal processing means during predetermined periods of time; second storage means coupled to said first storage means for receiving speech parameters transferred from said first storage means; means coupled to said second storage means for generating sequential addresses corresponding to individual storage locations of said second storage means to permit storage of said transferred speech parameters therein; and means coupled to said address generating means and to said binary adder for resetting said generating means to a reference starting address when the average signal level computed during any of said predetermined periods of time fails to exceed a predetermined signal level.
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6. In a speech recognition system, an apparatus for storing speech parameters, said apparatus comprising: transducer means responsive to acoustic energy for transforming said acoustic energy into analog electric signals, wherein said acoustic energy comprises voiced speech, unvoiced speech and background noise; signal processing means for converting said analog signals to substantially equivalent forms of speech parameters and for sampling said speech parameters at a predetermined sampling rate; first storage means coupled to said signal processing means for temporarily storing a plurality of samples of said speech parameters from said signal processing means; a binary adder coupled to said signal processing means for computing the average signal level of samples of said speech parameters from said signal processing means during predetermined periods of time; second storage means coupled to said first storage means for receiving speech parameters transferred from said first storage means; means coupled to said second storage means for generating sequential addresses corresponding to individual storage locations of said second storage means to permit storage of said transferred speech parameters therein; and means coupled to said address generating means and to said binary adder for resetting said generating means to a reference starting address when the average signal level computed during any of said predetermined periods of time fails to exceed a predetermined signal level. 9. The apparatus according to claim 6 further including a register for storing digital data, wherein said data stored therein represent the average signal level computed by said binary adder in the absence of speech, and wherein said stored data establish said predetermined signal level.
| 0.5 |
9,519,662 | 9 | 15 |
9. A computer program product, comprising: a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by a processor to perform an operation comprising: determining that a received query comprises a first predicate specifying a comparison operator and a second predicate specifying an IS NULL operator; modifying the received query, wherein modifying the received query comprises: replacing the comparison operator of the first predicate with an extended comparison operator, wherein the extended comparison operator is not a NULL operator and returns column values having a value predefined to represent NULL values; and removing the second predicate and the IS NULL operator from the received query; and processing the modified query, wherein processing the modified query comprises: searching a set of column values in a database management system (DBMS) satisfying the extended comparison operator of the first predicate; and returning at least a first column value, of the set of column values, as responsive to the modified query, wherein the first column value satisfies the extended comparison operator of the first predicate by matching the value predefined to represent NULL values.
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9. A computer program product, comprising: a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by a processor to perform an operation comprising: determining that a received query comprises a first predicate specifying a comparison operator and a second predicate specifying an IS NULL operator; modifying the received query, wherein modifying the received query comprises: replacing the comparison operator of the first predicate with an extended comparison operator, wherein the extended comparison operator is not a NULL operator and returns column values having a value predefined to represent NULL values; and removing the second predicate and the IS NULL operator from the received query; and processing the modified query, wherein processing the modified query comprises: searching a set of column values in a database management system (DBMS) satisfying the extended comparison operator of the first predicate; and returning at least a first column value, of the set of column values, as responsive to the modified query, wherein the first column value satisfies the extended comparison operator of the first predicate by matching the value predefined to represent NULL values. 15. The computer program product of claim 9 , wherein searching the set of column values comprises identifying column values matching the value predefined to represent NULL values.
| 0.817444 |
9,224,149 | 1 | 3 |
1. A computer-implemented method, comprising: obtaining identity information, with a portable program module, for a source of a webpage associated with a container document, the portable program module located in the container document; submitting, by the portable program module located in the container documents, the identity information to a concept server storing keywords associated with the container document; receiving, by the portable program module located in the container document and from the concept server, in response to the submitted identity information, the keywords associated with the container document; selecting, by the portable program module located in the container document, a subset of the keywords received from the concept server based at least on one or more criteria specified by an author of the portable program module; submitting, by the portable program module located in the container document, a query to an item search server related to the subset of the keywords selected by the portable program module; and receiving, at the portable program module located in the container document, advertisements responsive to the query from the item search server for display.
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1. A computer-implemented method, comprising: obtaining identity information, with a portable program module, for a source of a webpage associated with a container document, the portable program module located in the container document; submitting, by the portable program module located in the container documents, the identity information to a concept server storing keywords associated with the container document; receiving, by the portable program module located in the container document and from the concept server, in response to the submitted identity information, the keywords associated with the container document; selecting, by the portable program module located in the container document, a subset of the keywords received from the concept server based at least on one or more criteria specified by an author of the portable program module; submitting, by the portable program module located in the container document, a query to an item search server related to the subset of the keywords selected by the portable program module; and receiving, at the portable program module located in the container document, advertisements responsive to the query from the item search server for display. 3. The method of claim 1 , further comprising displaying the advertisements within the container document, wherein the advertisements include one or more hyperlinks.
| 0.688679 |
8,032,482 | 10 | 12 |
10. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a computer, will cause the computer to expose a preview handler interface to an electronic mail client application, the preview handler interface to expose at least one method for initializing a preview handler and loading a previewer for generating a document preview, the preview handler to: receive a request from the electronic mail client application to generate a visual preview of an attached document of an electronic mail message; transmit a query including a file extension of the attached document to the electronic mail client application in response to the request; receive a response to the request from the electronic mail client application; identify a previewer for the document type of the attached document for generating the visual preview of the attached document from a plurality of separately executable previewers based on the response to the query provided by the electronic mail client application, wherein: each previewer of the plurality of previewers is separately executable from each other previewer and is registered with the preview handler as a previewer for previewing documents of a particular document type, and the plurality of previewers includes at least one of a word processor application program and a spreadsheet application program that is registered with the preview handler as a previewer for previewing documents of the document type of the attached document, capable of providing the visual preview of the attached document, and capable of being launched by the electronic mail client application for editing the attached document; load the word processor application or the spreadsheet application as the previewer for the document type of the attached document for providing the visual preview of the attached document, wherein the word processor application or the spreadsheet application is designated by the electronic mail client application as a loaded previewer for generating visual previews of other documents of the document type of the attached document when loaded; and transmit a request to the loaded previewer instructing the loaded previewer to load the attached document and to generate the visual preview of the attached document, wherein the loaded previewer provides one or more interfaces for receiving user input and allowing the visual preview of the attached document to be paged through and navigated.
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10. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a computer, will cause the computer to expose a preview handler interface to an electronic mail client application, the preview handler interface to expose at least one method for initializing a preview handler and loading a previewer for generating a document preview, the preview handler to: receive a request from the electronic mail client application to generate a visual preview of an attached document of an electronic mail message; transmit a query including a file extension of the attached document to the electronic mail client application in response to the request; receive a response to the request from the electronic mail client application; identify a previewer for the document type of the attached document for generating the visual preview of the attached document from a plurality of separately executable previewers based on the response to the query provided by the electronic mail client application, wherein: each previewer of the plurality of previewers is separately executable from each other previewer and is registered with the preview handler as a previewer for previewing documents of a particular document type, and the plurality of previewers includes at least one of a word processor application program and a spreadsheet application program that is registered with the preview handler as a previewer for previewing documents of the document type of the attached document, capable of providing the visual preview of the attached document, and capable of being launched by the electronic mail client application for editing the attached document; load the word processor application or the spreadsheet application as the previewer for the document type of the attached document for providing the visual preview of the attached document, wherein the word processor application or the spreadsheet application is designated by the electronic mail client application as a loaded previewer for generating visual previews of other documents of the document type of the attached document when loaded; and transmit a request to the loaded previewer instructing the loaded previewer to load the attached document and to generate the visual preview of the attached document, wherein the loaded previewer provides one or more interfaces for receiving user input and allowing the visual preview of the attached document to be paged through and navigated. 12. The computer-readable storage medium of claim 10 , wherein the preview handler calls an interface exposed by the electronic mail client application and receives a response from the electronic mail client application comprising a previewer class identifier for identifying the previewer for the document type of the attached document.
| 0.5 |
7,756,906 | 1 | 4 |
1. A method for sharing one or more token vocabularies among a plurality of separate database systems, the method comprising: storing the one or more token vocabularies in a repository, wherein: each token vocabulary of the one or more token vocabularies corresponds to an XML schema; each token vocabulary of the one or more token vocabularies defines a plurality of associations between XML elements and replacement values; the repository is accessible to the plurality of separate database systems; and each database system, of the plurality of separate database systems, comprises one or more database servers that are designated to managing one or more databases; receiving, from a first database server of a first database system of the plurality of separate database systems, a first request for a token vocabulary; in response to the first request, retrieving a first token vocabulary, of the one or more token vocabularies, from the repository; sending the first token vocabulary to the first database server; receiving, from a second database server of a second database system of the plurality of separate database systems, a second request for a token vocabulary, wherein the second database system is different than the first database system; in response to the second request, retrieving a second token vocabulary, of the one or more token vocabularies, from the repository; and sending the second token vocabulary to the second database server.
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1. A method for sharing one or more token vocabularies among a plurality of separate database systems, the method comprising: storing the one or more token vocabularies in a repository, wherein: each token vocabulary of the one or more token vocabularies corresponds to an XML schema; each token vocabulary of the one or more token vocabularies defines a plurality of associations between XML elements and replacement values; the repository is accessible to the plurality of separate database systems; and each database system, of the plurality of separate database systems, comprises one or more database servers that are designated to managing one or more databases; receiving, from a first database server of a first database system of the plurality of separate database systems, a first request for a token vocabulary; in response to the first request, retrieving a first token vocabulary, of the one or more token vocabularies, from the repository; sending the first token vocabulary to the first database server; receiving, from a second database server of a second database system of the plurality of separate database systems, a second request for a token vocabulary, wherein the second database system is different than the first database system; in response to the second request, retrieving a second token vocabulary, of the one or more token vocabularies, from the repository; and sending the second token vocabulary to the second database server. 4. The method of claim 1 , further comprising before receiving the first request, registering an XML schema, that corresponds to the first token vocabulary, with the repository.
| 0.783619 |
9,740,738 | 14 | 18 |
14. A system, comprising: at least one data warehouse comprising a plurality of datastores supporting at least two different storage formats; at least one memory storing computer-executable instructions; and at least one processor in communication with the at least one data warehouse, the at least one processor configured to access the at least one memory and execute the computer-executable instructions to: receive a request for a report comprising a syntax tree that includes one or more data attributes identified by an attribute identifier and one or more conditions on the one or more data attributes, the report to be generated by querying the at least one data warehouse, the syntax tree comprising a format that is abstracted from a particular one of the at least two different storage formats of the plurality of datastores; normalize the attribute identifiers to generate normalized attribute identifiers for the one or more data attributes to provide a consistent attribute identifier across the at least two datastores; receive storage metadata describing at least one of the plurality of datastores storing data for the normalized attribute identifiers, the metadata including a description of the one or more data attributes and data retrieval latency for the plurality of datastores; generate at least one query to retrieve data from one or more datastores using the description of the one or more data attributes from the storage metadata and the one or more data attributes obtained from the syntax tree of the request for the report to retrieve data for at least one data attribute identified by the normalized attribute identifiers from the plurality of datastores; provide, to at least one data consumer associated with the report, at least one time estimate for generating the report based on retrieving the data for the one or more data attributes identified by the normalized attribute identifiers from individual ones of the at least two datastores, the at least one time estimate based at least partly on the data retrieval latency for the individual ones of the at least two datastores; receive a selection of a datastore by the at least one data consumer, the selection provided by the at least one data consumer based on the at least one time estimate; modify the at least one query to access the datastore of the plurality of datastores based on the selection of the datastore by the at least one data consumer; and generate the report including the data for the at least one data attribute identified by the normalized attribute identifiers, retrieved from the datastore based on an execution of the at least one modified query.
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14. A system, comprising: at least one data warehouse comprising a plurality of datastores supporting at least two different storage formats; at least one memory storing computer-executable instructions; and at least one processor in communication with the at least one data warehouse, the at least one processor configured to access the at least one memory and execute the computer-executable instructions to: receive a request for a report comprising a syntax tree that includes one or more data attributes identified by an attribute identifier and one or more conditions on the one or more data attributes, the report to be generated by querying the at least one data warehouse, the syntax tree comprising a format that is abstracted from a particular one of the at least two different storage formats of the plurality of datastores; normalize the attribute identifiers to generate normalized attribute identifiers for the one or more data attributes to provide a consistent attribute identifier across the at least two datastores; receive storage metadata describing at least one of the plurality of datastores storing data for the normalized attribute identifiers, the metadata including a description of the one or more data attributes and data retrieval latency for the plurality of datastores; generate at least one query to retrieve data from one or more datastores using the description of the one or more data attributes from the storage metadata and the one or more data attributes obtained from the syntax tree of the request for the report to retrieve data for at least one data attribute identified by the normalized attribute identifiers from the plurality of datastores; provide, to at least one data consumer associated with the report, at least one time estimate for generating the report based on retrieving the data for the one or more data attributes identified by the normalized attribute identifiers from individual ones of the at least two datastores, the at least one time estimate based at least partly on the data retrieval latency for the individual ones of the at least two datastores; receive a selection of a datastore by the at least one data consumer, the selection provided by the at least one data consumer based on the at least one time estimate; modify the at least one query to access the datastore of the plurality of datastores based on the selection of the datastore by the at least one data consumer; and generate the report including the data for the at least one data attribute identified by the normalized attribute identifiers, retrieved from the datastore based on an execution of the at least one modified query. 18. The system of claim 14 , wherein the processor is further configured to: determine the datastore of the plurality of datastores, based at least partly on data retrieval latency information for the datastore, and on the storage metadata indicating that data for the at least one data attribute identified by the normalized attribute identifiers is stored in the datastore, the determining of the datastore further based on data quality information indicating a quality of the data stored in the datastore.
| 0.745746 |
9,501,467 | 21 | 25 |
21. A non-transitory computer useable medium having a set of executable code for enabling electronic communications between a word processing program of a client access device and an information services provider system (ISP), the set of executable code comprising: a first set of computer program code adapted to access 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 entity with the preexisting entity list and: upon determining the entity is not present in the preexisting entity list, adding the entity to the preexisting entity list and generating a first set of relationship data associated with the relationship between the first document and the entity, the first set of relationship data further comprising a set of information associated with the relationship between the entity and the current legal event; or upon determining the entity is present in the preexisting entity list, generating a first set of relationship data associated with a relationship between the first document and the entity, the first set of relationship data further comprising a set of information associated with the relationship between the entity and the current legal event; a fourth set of computer program code adapted to repeat the resolving step for each distinct entity detected in the first document; a fifth set of computer program code adapted to generate a second set of relationship data representing the relationship between the 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 sixth set of computer program code adapted to store the first and second sets of relationship data; a seventh set of computer program code adapted to display a user interface to allow a user to select from a set of professional support resources; an eighth set of computer program code adapted to associate the reference to the at least one resolved entity with a smart tag; and a ninth 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.
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21. A non-transitory computer useable medium having a set of executable code for enabling electronic communications between a word processing program of a client access device and an information services provider system (ISP), the set of executable code comprising: a first set of computer program code adapted to access 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 entity with the preexisting entity list and: upon determining the entity is not present in the preexisting entity list, adding the entity to the preexisting entity list and generating a first set of relationship data associated with the relationship between the first document and the entity, the first set of relationship data further comprising a set of information associated with the relationship between the entity and the current legal event; or upon determining the entity is present in the preexisting entity list, generating a first set of relationship data associated with a relationship between the first document and the entity, the first set of relationship data further comprising a set of information associated with the relationship between the entity and the current legal event; a fourth set of computer program code adapted to repeat the resolving step for each distinct entity detected in the first document; a fifth set of computer program code adapted to generate a second set of relationship data representing the relationship between the 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 sixth set of computer program code adapted to store the first and second sets of relationship data; a seventh set of computer program code adapted to display a user interface to allow a user to select from a set of professional support resources; an eighth set of computer program code adapted to associate the reference to the at least one resolved entity with a smart tag; and a ninth 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. 25. The non-transitory computer useable medium of claim 21 further comprising: a tenth set of computer program code adapted to displaying a user interface to allow a user to select from a set of professional support resources; and a eleventh set of computer program code adapted to present a user with a selected professional support resource in response to a signal representing a user request.
| 0.5 |
9,405,834 | 1 | 9 |
1. A computer-implemented method for identifying related search queries, performed on a server having at least one processor and memory storing at least one program for execution by the at least one processor to perform the method, comprising: receiving a search query from a user; identifying a set of ranked search results satisfying the search query; identifying, using historical search query data, at least one last related search query in at least one chain of related search queries that is related to the search query and that includes at least one search result that was selected by users who issued the search query, wherein the identifying includes querying a query database to identify the at least one last related search query in the at least one chain of related search queries that are related to the search query, wherein a respective chain of related search queries is a sequence of consecutive search queries that are issued by a respective user and that include an initial search query that is successively refined; the query database includes a plurality of records, wherein each respective record includes: a respective search query; a number of times the respective search query was issued; a respective search result that was selected by users who issued the respective search query and that corresponds to at least one respective related search query in at least one respective chain of related search queries that are related to the respective search query; the at least one respective related search query; and a number of times the respective search query led to a selection of the respective search result; and returning the set of ranked search results and the at least one last related search query to the user.
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1. A computer-implemented method for identifying related search queries, performed on a server having at least one processor and memory storing at least one program for execution by the at least one processor to perform the method, comprising: receiving a search query from a user; identifying a set of ranked search results satisfying the search query; identifying, using historical search query data, at least one last related search query in at least one chain of related search queries that is related to the search query and that includes at least one search result that was selected by users who issued the search query, wherein the identifying includes querying a query database to identify the at least one last related search query in the at least one chain of related search queries that are related to the search query, wherein a respective chain of related search queries is a sequence of consecutive search queries that are issued by a respective user and that include an initial search query that is successively refined; the query database includes a plurality of records, wherein each respective record includes: a respective search query; a number of times the respective search query was issued; a respective search result that was selected by users who issued the respective search query and that corresponds to at least one respective related search query in at least one respective chain of related search queries that are related to the respective search query; the at least one respective related search query; and a number of times the respective search query led to a selection of the respective search result; and returning the set of ranked search results and the at least one last related search query to the user. 9. The computer-implemented method of claim 1 , wherein a ratio of a number of times that the at least one search result was selected and a number of times that the search query was issued exceeds a predetermined threshold.
| 0.750559 |
6,088,708 | 37 | 38 |
37. The computer system of claim 36, wherein the predefined rendering characteristic is a feature of the one of the objects allowing the at least one element to be rendered as the text element while preserving the appearance of the overlap group.
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37. The computer system of claim 36, wherein the predefined rendering characteristic is a feature of the one of the objects allowing the at least one element to be rendered as the text element while preserving the appearance of the overlap group. 38. The computer system of claim 37, wherein the predefined rendering characteristic is unrotated text, no gradient filled background, no pattern filled background, and no border art.
| 0.5 |
8,504,568 | 18 | 19 |
18. The method of claim 1 , wherein: the imported data includes a first data element associated with a first element of the metadata of the imported data, a second data element associated with a second element of the metadata of the imported data, and a third data element associated with a third element of the metadata of the imported data, the third element of the metadata of the imported data identifying the third data element as defining a first relationship between the first and second data elements; the existing data includes a fourth data element associated with a first element of metadata of the existing data, a fifth data element associated with a second element of the metadata of the existing data, and a sixth data element associated with a third element of the metadata of the existing data, the third element of the metadata of the existing data identifying the sixth data element as defining a second relationship between the fourth and fifth data elements; and the identification of the correspondence is based on the third element of the metadata of the imported data and the third element of the metadata of the existing data.
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18. The method of claim 1 , wherein: the imported data includes a first data element associated with a first element of the metadata of the imported data, a second data element associated with a second element of the metadata of the imported data, and a third data element associated with a third element of the metadata of the imported data, the third element of the metadata of the imported data identifying the third data element as defining a first relationship between the first and second data elements; the existing data includes a fourth data element associated with a first element of metadata of the existing data, a fifth data element associated with a second element of the metadata of the existing data, and a sixth data element associated with a third element of the metadata of the existing data, the third element of the metadata of the existing data identifying the sixth data element as defining a second relationship between the fourth and fifth data elements; and the identification of the correspondence is based on the third element of the metadata of the imported data and the third element of the metadata of the existing data. 19. The method of claim 18 , wherein the identification of the correspondence includes identifying a correspondence of the third element of the metadata of the imported data to the third element of the metadata of the existing data.
| 0.5 |
9,966,065 | 33 | 34 |
33. The electronic device of claim 25 , wherein determining the first intent associated with the first candidate substring and the second intent associated with the second candidate substring comprises: determining the first intent or the second intent based on information displayed on a display associated with the electronic device.
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33. The electronic device of claim 25 , wherein determining the first intent associated with the first candidate substring and the second intent associated with the second candidate substring comprises: determining the first intent or the second intent based on information displayed on a display associated with the electronic device. 34. The electronic device of claim 33 , wherein the information comprises a list; and wherein determining the first intent associated with the first candidate substring and the second intent associated with the second candidate substring comprises: determining the first intent or the second intent based on an ordinal descriptor in the first candidate substring or the second candidate substring, wherein the ordinal descriptor is associated with one or more items in the list.
| 0.5 |
9,024,865 | 12 | 17 |
12. A method of interpreting movements of a first wearable item as gestures associated with a command to control a controlled device, comprising: receiving first and second signals respectively from the first wearable item and a second wearable item, wherein the first and second signals comprise information indicating movements of the first and second wearable items, respectively; identifying that the movement of the first wearable item was intended for the command and the movement of the second wearable item was not intended for any command based on the first and second signals indicating that the movements of the first and second wearable items occurred at the same time and in substantially the same direction; determining a first context in which the movement of the first wearable item is sensed, wherein the determination is based on a set of previously configured applicable contexts by another movement of the second wearable device or another wearable item; and interpreting the movement of the first wearable item as being indicative of a gesture relating to the command based on the first context.
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12. A method of interpreting movements of a first wearable item as gestures associated with a command to control a controlled device, comprising: receiving first and second signals respectively from the first wearable item and a second wearable item, wherein the first and second signals comprise information indicating movements of the first and second wearable items, respectively; identifying that the movement of the first wearable item was intended for the command and the movement of the second wearable item was not intended for any command based on the first and second signals indicating that the movements of the first and second wearable items occurred at the same time and in substantially the same direction; determining a first context in which the movement of the first wearable item is sensed, wherein the determination is based on a set of previously configured applicable contexts by another movement of the second wearable device or another wearable item; and interpreting the movement of the first wearable item as being indicative of a gesture relating to the command based on the first context. 17. The method of claim 12 , wherein the first context in which the movement is sensed is used to interpret data sensed by multiple sensors within the first wearable item or multiple sensors embedded in the first and second wearable items.
| 0.543893 |
9,208,262 | 39 | 45 |
39. A system for providing a graphical representation of a plurality of items in a collaborative innovation environment, the system comprising: a memory to store a plurality of items, each item having an association with at least one other item; an interface operatively connected to the memory, the interface operative to communicate with a device of a user; and a hardware processor operatively connected to the memory and the interface, the hardware processor operative to: receive, from the device of the user, a request to initiate a collaborative innovation process with a seed item wherein the seed item includes an idea, a question, an opinion or a statement for which a result is sought, and to innovate one or more idea items directly or indirectly in response to the seed item to determine the result for the seed item based on the one or more idea items in the collaborative innovation process, wherein the seed item and the one or more idea items comprise the plurality of items; provide by the hardware processor to the device of the user, a list of a plurality of seed items in a graphical user interface; provide, to the device of the user in the graphical user interface, a graphical representation of the plurality of items including a seed item selected by the user from the plurality of seed items and a plurality of idea items innovated in response to the selected seed item, wherein each item of the plurality of items is represented by a shape and the association of each item with the at least one other item is represented by a line between each shape representing each item and each shape representing the at least one other item, wherein the line between each shape representing each item and each shape representing the at least one other item identifies whether the each item is an idea item that was innovated from the at least one other item, receive, from the device of the user, a request to associate a first metric of the plurality of items with a size of each shape representing each respective item, wherein the size of each shape is based on a value of the first metric of each respective item, receive, from the device of the user, a request to associate a second metric with a color of each shape representing each respective item, wherein the color of each shape is based on a second value of the second metric of each respective item, transform, by the hardware processor, the graphical representation of the plurality of items such that the size of each shape representing each respective item is based on the first value of the first metric of each respective item and the color of each shape representing each item is based on the second value of the second metric of each respective item, transform, by the hardware processor, the plurality of items into a textual outline representation of the plurality of items, provide, to the device of the user, the transformed graphical representation and the textual outline representation of the plurality of items, wherein the graphical representation comprising the metrics of the idea items and the textual outline representation comprising the textual descriptive information of the plurality of idea items are simultaneously displayed on the device of the user in a graphical representation display area and an textual outline display area respectively, wherein the graphical representation display area and the textual outline display area are each a responsive display area to each other; and responsively, reflect actions performed in either the graphical representation display area or the textual outline display area in the responsive display area of the other, by: creating an item innovated from one of the plurality of items in the responsive display area of the other in instances when one of the plurality of items is selected and when a selection is received from a user selection made in either the graphical representation display area or the textual outline display area; and receiving, by the hardware processor from the device of the user, a request to search through a set of idea items of the plurality of idea items, wherein the set of items to be searched is determined based on a user selection that indicates whether to search all of the plurality of idea items or to search only a subset of the plurality of idea items that have received a specified rating; moving a user-selected one item of the plurality of items having an association with the at least one other item in the graphical representation to a user-selected destination by: disassociating the user-selected one item of the plurality of items from an item it was innovated from; associating the selected one item of the plurality of items with another item based on user input; providing by the hardware processor to the device of the user a preview for display of the graphical representation including the moved user-selected one item of the plurality of items to the destination item; and allowing the user to cancel or confirm the move of the user-selected one item of the plurality of items; wherein in response to a click of a move descendants button in a user interface by the user, including the descendants of the user-selected one item of the plurality of items in the moving of the user-selected one item of the plurality of items to the user-selected destination, and including the descendants of the moved user-selected one item of the plurality of items in the preview for display of the graphical representation; in response to a click of a like it button or a click of a don't like it button in the graphical user interface, entering a rating of a selected item in the graphical user interface; in response to a click of an enhance button in the graphical user interface allowing a user to create an item enhancing a selected item in the graphical user interface; in response to a click of an edit button in the graphical user interface allowing a user to edit a selected item in the graphical user interface; and in response to a click of a delete button in the graphical user interface deleting a selected item in the graphical user interface; wherein the graphical user interface includes the like it button, the don't like it button, the enhance button, the edit button and the delete button.
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39. A system for providing a graphical representation of a plurality of items in a collaborative innovation environment, the system comprising: a memory to store a plurality of items, each item having an association with at least one other item; an interface operatively connected to the memory, the interface operative to communicate with a device of a user; and a hardware processor operatively connected to the memory and the interface, the hardware processor operative to: receive, from the device of the user, a request to initiate a collaborative innovation process with a seed item wherein the seed item includes an idea, a question, an opinion or a statement for which a result is sought, and to innovate one or more idea items directly or indirectly in response to the seed item to determine the result for the seed item based on the one or more idea items in the collaborative innovation process, wherein the seed item and the one or more idea items comprise the plurality of items; provide by the hardware processor to the device of the user, a list of a plurality of seed items in a graphical user interface; provide, to the device of the user in the graphical user interface, a graphical representation of the plurality of items including a seed item selected by the user from the plurality of seed items and a plurality of idea items innovated in response to the selected seed item, wherein each item of the plurality of items is represented by a shape and the association of each item with the at least one other item is represented by a line between each shape representing each item and each shape representing the at least one other item, wherein the line between each shape representing each item and each shape representing the at least one other item identifies whether the each item is an idea item that was innovated from the at least one other item, receive, from the device of the user, a request to associate a first metric of the plurality of items with a size of each shape representing each respective item, wherein the size of each shape is based on a value of the first metric of each respective item, receive, from the device of the user, a request to associate a second metric with a color of each shape representing each respective item, wherein the color of each shape is based on a second value of the second metric of each respective item, transform, by the hardware processor, the graphical representation of the plurality of items such that the size of each shape representing each respective item is based on the first value of the first metric of each respective item and the color of each shape representing each item is based on the second value of the second metric of each respective item, transform, by the hardware processor, the plurality of items into a textual outline representation of the plurality of items, provide, to the device of the user, the transformed graphical representation and the textual outline representation of the plurality of items, wherein the graphical representation comprising the metrics of the idea items and the textual outline representation comprising the textual descriptive information of the plurality of idea items are simultaneously displayed on the device of the user in a graphical representation display area and an textual outline display area respectively, wherein the graphical representation display area and the textual outline display area are each a responsive display area to each other; and responsively, reflect actions performed in either the graphical representation display area or the textual outline display area in the responsive display area of the other, by: creating an item innovated from one of the plurality of items in the responsive display area of the other in instances when one of the plurality of items is selected and when a selection is received from a user selection made in either the graphical representation display area or the textual outline display area; and receiving, by the hardware processor from the device of the user, a request to search through a set of idea items of the plurality of idea items, wherein the set of items to be searched is determined based on a user selection that indicates whether to search all of the plurality of idea items or to search only a subset of the plurality of idea items that have received a specified rating; moving a user-selected one item of the plurality of items having an association with the at least one other item in the graphical representation to a user-selected destination by: disassociating the user-selected one item of the plurality of items from an item it was innovated from; associating the selected one item of the plurality of items with another item based on user input; providing by the hardware processor to the device of the user a preview for display of the graphical representation including the moved user-selected one item of the plurality of items to the destination item; and allowing the user to cancel or confirm the move of the user-selected one item of the plurality of items; wherein in response to a click of a move descendants button in a user interface by the user, including the descendants of the user-selected one item of the plurality of items in the moving of the user-selected one item of the plurality of items to the user-selected destination, and including the descendants of the moved user-selected one item of the plurality of items in the preview for display of the graphical representation; in response to a click of a like it button or a click of a don't like it button in the graphical user interface, entering a rating of a selected item in the graphical user interface; in response to a click of an enhance button in the graphical user interface allowing a user to create an item enhancing a selected item in the graphical user interface; in response to a click of an edit button in the graphical user interface allowing a user to edit a selected item in the graphical user interface; and in response to a click of a delete button in the graphical user interface deleting a selected item in the graphical user interface; wherein the graphical user interface includes the like it button, the don't like it button, the enhance button, the edit button and the delete button. 45. The system of claim 39 wherein the second metric comprises at least one of an age of each item, a status of each item, a rating of each item, a number of times each items was shared, a number of total votes each item received, a geographic location of a user who provided the each item, or a department the user who provided each item belongs to.
| 0.653465 |
7,552,054 | 5 | 6 |
5. A method as described in claim 1 further comprising rendering a background audible signal during said predetermined period.
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5. A method as described in claim 1 further comprising rendering a background audible signal during said predetermined period. 6. A method as described in claim 5 wherein said audible signal is music.
| 0.5 |
8,633,932 | 8 | 10 |
8. The computer-implemented method of claim 1 , wherein the first animation and the second animation are associated with facial expressions of an online animated character.
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8. The computer-implemented method of claim 1 , wherein the first animation and the second animation are associated with facial expressions of an online animated character. 10. The computer-implemented method of claim 8 , wherein the online character is included in a video game.
| 0.700565 |
9,824,322 | 12 | 20 |
12. A computer system, comprising one or more processors and a memory, operatively interconnected to one another and configured to implement steps for analyzing a control-flow in a business process, comprising: invoking a representation of the business process as an acyclic workflow graph containing a plurality of types of nodes and edges linking nodes of the graph; labeling edges of the graph such that a label assigned to a first edge comprises a plurality of edge identifiers identifying respective edges, each of the edges identified being an outgoing edge of a split node in the graph, whereby executing any one of the identified edges ensures that the first edge will be executed; and checking the labels for a deadlock using a processor, while labeling the edges of the graph, wherein a deadlock is found if a condition for relaxed soundness is true.
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12. A computer system, comprising one or more processors and a memory, operatively interconnected to one another and configured to implement steps for analyzing a control-flow in a business process, comprising: invoking a representation of the business process as an acyclic workflow graph containing a plurality of types of nodes and edges linking nodes of the graph; labeling edges of the graph such that a label assigned to a first edge comprises a plurality of edge identifiers identifying respective edges, each of the edges identified being an outgoing edge of a split node in the graph, whereby executing any one of the identified edges ensures that the first edge will be executed; and checking the labels for a deadlock using a processor, while labeling the edges of the graph, wherein a deadlock is found if a condition for relaxed soundness is true. 20. The computer system of claim 12 , wherein the step of labeling is performed based on a maximum prefix of the acyclic workflow graph that does not contain a lack of synchronization.
| 0.654135 |
9,686,242 | 1 | 4 |
1. An apparatus comprising: a protection system comprising a hardware controller implemented in a network in a data path between a device of a user and a web server that provides a web service; the hardware controller intercepts communications exchanged between the user and the web service over the network, identifies text in the communications between the user and the web service, and identifies subjects discussed in the text; the controller communicates with the device to display the subjects to the user and determine which of the subjects are sensitive to the user, and interacts with the web server over the network to delete a history for the user from the web server that relates to the sensitive subjects.
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1. An apparatus comprising: a protection system comprising a hardware controller implemented in a network in a data path between a device of a user and a web server that provides a web service; the hardware controller intercepts communications exchanged between the user and the web service over the network, identifies text in the communications between the user and the web service, and identifies subjects discussed in the text; the controller communicates with the device to display the subjects to the user and determine which of the subjects are sensitive to the user, and interacts with the web server over the network to delete a history for the user from the web server that relates to the sensitive subjects. 4. The apparatus of claim 1 wherein: the protection system further includes an interface; and the hardware controller queries the device of the user through the interface for cookies stored by the device.
| 0.677215 |
9,600,454 | 15 | 17 |
15. A computer program product to generate an effective schema of an electronic document for optimizing the processing thereof, the computer program product comprising: a non-transitory computer usable storage medium having computer usable program code embodied therein, the computer usable medium comprising: computer usable program code configured to perform a programmatic analysis on a document processing program to determine required portions of the electronic document; computer useable program code configured to generate a parser that generates the optimized document model based on the required portions of the electronic document; computer usable program code configured to generate the optimized document model; and computer usable program code configured to optimize the document processing program by specializing the document processing program against the optimized document model, wherein an operation of the document processing program that is associated with an unused member of the optimized document model is removed from the document processing program; and computer useable program code configured to render the electronic document using the optimized document processing program with a shorter processing time and a reduced memory requirement than without optimization.
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15. A computer program product to generate an effective schema of an electronic document for optimizing the processing thereof, the computer program product comprising: a non-transitory computer usable storage medium having computer usable program code embodied therein, the computer usable medium comprising: computer usable program code configured to perform a programmatic analysis on a document processing program to determine required portions of the electronic document; computer useable program code configured to generate a parser that generates the optimized document model based on the required portions of the electronic document; computer usable program code configured to generate the optimized document model; and computer usable program code configured to optimize the document processing program by specializing the document processing program against the optimized document model, wherein an operation of the document processing program that is associated with an unused member of the optimized document model is removed from the document processing program; and computer useable program code configured to render the electronic document using the optimized document processing program with a shorter processing time and a reduced memory requirement than without optimization. 17. The computer program product of claim 15 , wherein the computer usable medium further comprises computer usable program code configured to determine used portions of the document via a whole-program data use analysis.
| 0.692201 |
10,061,788 | 10 | 11 |
10. A system for processing data in an application platform, the system comprising: a memory; at least one database; and at least one processor, the at least one processor operable to: receive at runtime, from a first computing device, a first request for data associated with a plurality of contributors for a first contributor of the plurality of contributors; retrieve data contained in a first plurality of documents associated with at least one document flow, the at least one document flow being associated with the plurality of contributors, at least a portion of the documents being of different types and the at least one document flow comprising a plurality of documents types, wherein each document type has a document type identifier and is associated with a plurality of structured data elements and at least a portion of structured data elements differ between documents having different types; determine access privileges of the first contributor, the access privileges determining a first set of document types, the first set of documents types being a first subset of document types of the at least one document flow; select a second plurality of documents from the first plurality of documents, where a document of the first plurality of documents is selected if it is of a type included in the first set of document types; select a first plurality of structured data elements from each of multiple documents of the second plurality of documents; communicate the selected first plurality of structured data elements to the first computing device in response to the first request; receive at runtime, from a second computing device, a second request for data associated with the plurality of contributors for a second contributor of the plurality of contributors; determine access privileges of the second contributor, the access privileges determining a second set of document types, the second set of document types being a second subset of document types of the document flow, at least a portion of the document types of the first set differing from document types of the second set; select a third plurality of documents from the first plurality of documents, where a document of the first plurality of documents is selected if it is of a type included in the second set of document types; select a second plurality of structured data elements from each of multiple documents of the third plurality of documents; and communicate the selected second plurality of structured data elements to the second computing device in response to the second request.
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10. A system for processing data in an application platform, the system comprising: a memory; at least one database; and at least one processor, the at least one processor operable to: receive at runtime, from a first computing device, a first request for data associated with a plurality of contributors for a first contributor of the plurality of contributors; retrieve data contained in a first plurality of documents associated with at least one document flow, the at least one document flow being associated with the plurality of contributors, at least a portion of the documents being of different types and the at least one document flow comprising a plurality of documents types, wherein each document type has a document type identifier and is associated with a plurality of structured data elements and at least a portion of structured data elements differ between documents having different types; determine access privileges of the first contributor, the access privileges determining a first set of document types, the first set of documents types being a first subset of document types of the at least one document flow; select a second plurality of documents from the first plurality of documents, where a document of the first plurality of documents is selected if it is of a type included in the first set of document types; select a first plurality of structured data elements from each of multiple documents of the second plurality of documents; communicate the selected first plurality of structured data elements to the first computing device in response to the first request; receive at runtime, from a second computing device, a second request for data associated with the plurality of contributors for a second contributor of the plurality of contributors; determine access privileges of the second contributor, the access privileges determining a second set of document types, the second set of document types being a second subset of document types of the document flow, at least a portion of the document types of the first set differing from document types of the second set; select a third plurality of documents from the first plurality of documents, where a document of the first plurality of documents is selected if it is of a type included in the second set of document types; select a second plurality of structured data elements from each of multiple documents of the third plurality of documents; and communicate the selected second plurality of structured data elements to the second computing device in response to the second request. 11. The system of claim 10 , the at least one processor further operable to: analyze semantic data in at least one of the first plurality of documents to identify at least one contributor of the plurality of contributors.
| 0.5 |
6,122,661 | 39 | 41 |
39. A storage medium according to claim 37, further comprising: the presentation space buffer storing computer display information representing a plurality of computer displays; the display control receiving the presentation space data stream containing the computer display information representing the plurality of computer displays; and the host extension converting substantially the entire presentation space data stream containing the computer display information representing the plurality of computer displays into a single markup language document.
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39. A storage medium according to claim 37, further comprising: the presentation space buffer storing computer display information representing a plurality of computer displays; the display control receiving the presentation space data stream containing the computer display information representing the plurality of computer displays; and the host extension converting substantially the entire presentation space data stream containing the computer display information representing the plurality of computer displays into a single markup language document. 41. A storage medium according to claim 39, wherein the plurality of computer displays comprise a plurality of sessions running on the host computer.
| 0.5 |
9,436,438 | 16 | 17 |
16. The non-transitory computer-accessible memory medium of claim 15 , wherein the program instructions are further executable to perform: automatically determining harnessing logic for the at least one functional block to ensure that runtime updates to the at least one functional block's configuration occur on iteration boundaries.
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16. The non-transitory computer-accessible memory medium of claim 15 , wherein the program instructions are further executable to perform: automatically determining harnessing logic for the at least one functional block to ensure that runtime updates to the at least one functional block's configuration occur on iteration boundaries. 17. The non-transitory computer-accessible memory medium of claim 16 , wherein the program instructions are further executable to perform: automatically selecting harnessing logic for the at least one functional block to ensure that data flow for the at least one functional block occurs according to the runtime updates of the at least one functional block's configuration.
| 0.5 |
7,685,512 | 60 | 64 |
60. The computer-implemented method of claim 48 , wherein said XML entity is a local element declaration or an element reference referencing a referenced global element and wherein said wire format specific rendering option specifies that said XML entity is to be rendered for said particular wire format as an XML element with an additional attribute having a specified attribute name and a specified attribute value.
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60. The computer-implemented method of claim 48 , wherein said XML entity is a local element declaration or an element reference referencing a referenced global element and wherein said wire format specific rendering option specifies that said XML entity is to be rendered for said particular wire format as an XML element with an additional attribute having a specified attribute name and a specified attribute value. 64. The computer-implemented method of claim 60 , wherein said XML entity is an element reference referencing a referenced global element declaration and further comprising: determining, by said processor, whether a target namespace of said referenced global element declaration is null or the same as a target namespace of an XML schema containing said element reference; and generating, by said processor, an element declaration based on said determining.
| 0.5 |
8,856,104 | 9 | 12 |
9. A system to generate a database query to retrieve a set of stored data records from an electronic data record system, the system comprising: a computer that includes one or more hardware processors; a repository of terminology content stored in accordance with an information reference model, wherein the information reference model includes a plurality of backbone classes, wherein the plurality of backbone classes are associated with a plurality of other types of backbone classes to form data structures representing a plurality of higher level healthcare concepts; a concept query system that executes on the computer to receive a concept query request comprising a set of search criteria, wherein the search criteria include a first classification identifier corresponding to a first classification container, and a semantic statement that defines, using the first classification identifier, an expected concept query result generated from a terminology service; generate, via a concept query generator, a classification concept query from the concept query request, wherein the classification concept query includes at least a subset of the search criteria and the first classification identifier, provide the classification concept query to the terminology service that manages the repository of terminology content, wherein the terminology content comprises a plurality of domains of concepts, wherein a plurality of semantically equivalent concepts are stored in different domains of concepts, and are mapped to one another using inter-domain or intra-domain mappings defined in the terminology service, and wherein concepts in each domain are organized into a plurality of classification containers, wherein each classification container represents a collection of semantically equivalent concepts having a corresponding classification identifier, identify, using the defined mappings and the semantic statement, one or more classification containers, wherein each of the one or more classification containers includes a concept semantically equivalent to a concept in the first classification container; and create a concept query result by extracting a plurality of concepts associated with the first classification identifier, from the first classification container and the one or more identified classification containers; and a database query generator to receive the plurality of associated concepts and generate the database query comprising predicates corresponding to the plurality of associated concepts.
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9. A system to generate a database query to retrieve a set of stored data records from an electronic data record system, the system comprising: a computer that includes one or more hardware processors; a repository of terminology content stored in accordance with an information reference model, wherein the information reference model includes a plurality of backbone classes, wherein the plurality of backbone classes are associated with a plurality of other types of backbone classes to form data structures representing a plurality of higher level healthcare concepts; a concept query system that executes on the computer to receive a concept query request comprising a set of search criteria, wherein the search criteria include a first classification identifier corresponding to a first classification container, and a semantic statement that defines, using the first classification identifier, an expected concept query result generated from a terminology service; generate, via a concept query generator, a classification concept query from the concept query request, wherein the classification concept query includes at least a subset of the search criteria and the first classification identifier, provide the classification concept query to the terminology service that manages the repository of terminology content, wherein the terminology content comprises a plurality of domains of concepts, wherein a plurality of semantically equivalent concepts are stored in different domains of concepts, and are mapped to one another using inter-domain or intra-domain mappings defined in the terminology service, and wherein concepts in each domain are organized into a plurality of classification containers, wherein each classification container represents a collection of semantically equivalent concepts having a corresponding classification identifier, identify, using the defined mappings and the semantic statement, one or more classification containers, wherein each of the one or more classification containers includes a concept semantically equivalent to a concept in the first classification container; and create a concept query result by extracting a plurality of concepts associated with the first classification identifier, from the first classification container and the one or more identified classification containers; and a database query generator to receive the plurality of associated concepts and generate the database query comprising predicates corresponding to the plurality of associated concepts. 12. The system of claim 9 , wherein the terminology content comprises concepts that are associated with at least one terminology.
| 0.771277 |
7,774,369 | 14 | 18 |
14. A computer-readable medium, in a machine-readable storage device, storing a computer program product, the computer program product including instructions that, when executed, cause a configuration information handling component to perform operations comprising: receiving an indication of at least a first configuration information entry at a first computer storing a configuration directory and a repository containing multiple entries of configuration information for a software application program, each entry designed for customizing the software application program for a specific situation and the software application program being designed to remotely request configuration information as needed, wherein each configuration information entry includes 1) a configuration component available to be requested for the software application program and 2) a configuration attribute and an associated attribute value that define terms for the software application program to apply to a business transaction of a business enterprise in the specific situation, wherein the configuration repository stores the multiple entries of configuration information in XML format; activating a stored process on the first computer that converts the first configuration information entry from the XML format to a database table format in which access to the first configuration information entry is faster than in the XML format; and storing the first configuration information entry in the configuration directory in the database table format, the configuration directory being remote from the software application program and different from the configuration repository, wherein the first configuration information entry having the database table format is provided from the configuration directory to the software application program in response to a request.
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14. A computer-readable medium, in a machine-readable storage device, storing a computer program product, the computer program product including instructions that, when executed, cause a configuration information handling component to perform operations comprising: receiving an indication of at least a first configuration information entry at a first computer storing a configuration directory and a repository containing multiple entries of configuration information for a software application program, each entry designed for customizing the software application program for a specific situation and the software application program being designed to remotely request configuration information as needed, wherein each configuration information entry includes 1) a configuration component available to be requested for the software application program and 2) a configuration attribute and an associated attribute value that define terms for the software application program to apply to a business transaction of a business enterprise in the specific situation, wherein the configuration repository stores the multiple entries of configuration information in XML format; activating a stored process on the first computer that converts the first configuration information entry from the XML format to a database table format in which access to the first configuration information entry is faster than in the XML format; and storing the first configuration information entry in the configuration directory in the database table format, the configuration directory being remote from the software application program and different from the configuration repository, wherein the first configuration information entry having the database table format is provided from the configuration directory to the software application program in response to a request. 18. The computer-readable medium of claim 14 , wherein the configuration directory is configured to provide faster runtime access than the configuration repository.
| 0.850091 |
8,285,082 | 1 | 8 |
1. A method of automatically identifying digital content related to a portion of a block of text, the method comprising: receiving an indication of one or more words included in the block of text for which related digital content is to be identified, wherein: the one or more words are not manually provided as search queries for digital content; the block of text is accessible via a web interface; and the digital content comprises still or moving digital images; segmenting the one or more words included in the block of text into one or more segments comprising phrases or individual words, wherein the segmenting includes automatically removing one or more phrases or individual words that are less likely to result in finding images; automatically searching a database of digital content based on the one or more segmented phrases or individual words; automatically retrieving from the database one or more digital content items or identifiers associated with the one or more digital content items, wherein the digital content items are related to the one or more segmented phrases or individual words; determining whether a valid license has been obtained for the one or more retrieved digital content items or identifiers associated with the one or more digital content items; providing the retrieved digital content items or identifiers to the user only if a valid license has been obtained for the retrieved digital content items or identifiers; receiving a selection of one or more of the provided digital content items or identifiers from the user; and associating for display or replay the one or more selected digital content items or the one or more digital content items associated with the one or more selected identifiers with the one or more words in the block of text, wherein the block of text and the one or more selected digital content items are accessible via the web interface.
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1. A method of automatically identifying digital content related to a portion of a block of text, the method comprising: receiving an indication of one or more words included in the block of text for which related digital content is to be identified, wherein: the one or more words are not manually provided as search queries for digital content; the block of text is accessible via a web interface; and the digital content comprises still or moving digital images; segmenting the one or more words included in the block of text into one or more segments comprising phrases or individual words, wherein the segmenting includes automatically removing one or more phrases or individual words that are less likely to result in finding images; automatically searching a database of digital content based on the one or more segmented phrases or individual words; automatically retrieving from the database one or more digital content items or identifiers associated with the one or more digital content items, wherein the digital content items are related to the one or more segmented phrases or individual words; determining whether a valid license has been obtained for the one or more retrieved digital content items or identifiers associated with the one or more digital content items; providing the retrieved digital content items or identifiers to the user only if a valid license has been obtained for the retrieved digital content items or identifiers; receiving a selection of one or more of the provided digital content items or identifiers from the user; and associating for display or replay the one or more selected digital content items or the one or more digital content items associated with the one or more selected identifiers with the one or more words in the block of text, wherein the block of text and the one or more selected digital content items are accessible via the web interface. 8. The method of claim 1 wherein providing the retrieved digital content items or identifiers to the user comprises: ranking the digital content items, wherein items that are likely to be more relevant to the user are ranked higher and items that are less likely to be relevant to the user are ranked lower; and presenting to the user the digital content items, wherein the items that are ranked higher are presented before the items that are ranked lower.
| 0.5 |
8,818,977 | 14 | 15 |
14. The system of claim 13 , wherein the operations further comprise identifying the first contextual click model, the identification comprising: identifying previous search sessions that include selection of a web page that is identified as part of the user context; identifying occurrences of the user search query in the identified previous search sessions; identifying previously selected web pages that were selected in previous sessions as a result of the user search query; and wherein the first contextual click model comprises the previously selected web pages and a selection metric defining a rate at which the previously selected web pages were selected as a result of the user search query.
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14. The system of claim 13 , wherein the operations further comprise identifying the first contextual click model, the identification comprising: identifying previous search sessions that include selection of a web page that is identified as part of the user context; identifying occurrences of the user search query in the identified previous search sessions; identifying previously selected web pages that were selected in previous sessions as a result of the user search query; and wherein the first contextual click model comprises the previously selected web pages and a selection metric defining a rate at which the previously selected web pages were selected as a result of the user search query. 15. The system of claim 14 , wherein the first contextual click model further comprises a click quality metric for the selections of each web page.
| 0.5 |
9,009,048 | 2 | 3 |
2. The method of claim 1 , further comprising classifying each of the plurality of frames according to respective energy levels based on predetermined criteria, wherein in the detecting of the energy changes between the plurality of frames, detection of the energy change is based on differences in the respective classified energy levels.
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2. The method of claim 1 , further comprising classifying each of the plurality of frames according to respective energy levels based on predetermined criteria, wherein in the detecting of the energy changes between the plurality of frames, detection of the energy change is based on differences in the respective classified energy levels. 3. The method of claim 2 , wherein the identifying of the speech segment and/or non-speech segments comprises: repeatedly performing processes of assigning the predetermined weight to a segment in which an energy level of a respective frame is changed and calculating weights for all respective segments; and identifying a segment corresponding to a minimum weight, among the calculated weights, as being a speech segment, wherein the segment corresponding to the minimum weight has a lower energy level than the other speech segments.
| 0.5 |
8,195,630 | 1 | 2 |
1. A computerized non-event based method for effectuating a search of unstructured information to provide for rapid querying of the unstructured information utilizing spatial searching, comprising the step of: providing a search tool which when programmed constitutes a particular machine used with existing documents stored in a computer having unstructured textual geographical location information, excluding previously encoded spatial metadata the search tool: ascertaining either implicit or explicit indications of geographical location by ascertaining from document text places or things described in the existing document; storing the documents in the computer with geographical location attributes as metadata; searching the stored documents in terms of metadata utilizing geographical location search terms; and, returning documents having metadata corresponding to the geographical location search term, the particular machine being reconfigured upon performance of the ascertaining, storing, searching and returning steps, such that a non-event based method is provided that relies on document analysis.
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1. A computerized non-event based method for effectuating a search of unstructured information to provide for rapid querying of the unstructured information utilizing spatial searching, comprising the step of: providing a search tool which when programmed constitutes a particular machine used with existing documents stored in a computer having unstructured textual geographical location information, excluding previously encoded spatial metadata the search tool: ascertaining either implicit or explicit indications of geographical location by ascertaining from document text places or things described in the existing document; storing the documents in the computer with geographical location attributes as metadata; searching the stored documents in terms of metadata utilizing geographical location search terms; and, returning documents having metadata corresponding to the geographical location search term, the particular machine being reconfigured upon performance of the ascertaining, storing, searching and returning steps, such that a non-event based method is provided that relies on document analysis. 2. The method of claim 1 , wherein said storing step includes storing new documents having unstructured data, the unstructured data being mandatorily assigned metadata tags relating to geographical location attributes.
| 0.56917 |
9,245,525 | 17 | 18 |
17. A non-transitory computer-readable storage medium storing executable computer program code for processing an interaction, the interaction including an utterance requiring recognition before being usable for further computer-implemented processing, the computer program code comprising instructions for: receiving data representing an utterance from a computer application, the utterance received from a device of a customer over a computer network; dynamically selecting, using parameters provided by the application, one or more recognizers from: an automated speech recognizer (ASR), and a second type of recognizer, different from the automated speech recognizer, and communicating over a computer network with devices located at locations remote from the computer system; and providing a recognition result responsive to results of processing by the one or more recognizers.
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17. A non-transitory computer-readable storage medium storing executable computer program code for processing an interaction, the interaction including an utterance requiring recognition before being usable for further computer-implemented processing, the computer program code comprising instructions for: receiving data representing an utterance from a computer application, the utterance received from a device of a customer over a computer network; dynamically selecting, using parameters provided by the application, one or more recognizers from: an automated speech recognizer (ASR), and a second type of recognizer, different from the automated speech recognizer, and communicating over a computer network with devices located at locations remote from the computer system; and providing a recognition result responsive to results of processing by the one or more recognizers. 18. The non-transitory computer-readable storage medium of claim 17 , wherein said dynamically selecting is responsive to a system load metric.
| 0.5 |
10,140,591 | 12 | 16 |
12. The computer readable medium of claim 11 , wherein the subset of the content related to the post object comprises one or more social network conversations.
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12. The computer readable medium of claim 11 , wherein the subset of the content related to the post object comprises one or more social network conversations. 16. The computer readable medium of claim 12 , wherein analyzing the content from the plurality of data sources comprises identifying a user of the plurality of users related to the post object, and wherein the one or more social network conversations comprise conversations participated in by the user.
| 0.554412 |
9,864,742 | 1 | 3 |
1. A non-transitory computer program product comprising a computer useable storage device to store a computer readable program that, when executed on a processor within a computer, causes the computer to perform operations to apply persona styles to written communications, the operations comprising: receive an element of original content from a written communication of a user; receive a selection of a persona style, wherein the selected persona style defines a communication style, the persona style one of a plurality of unique persona style stored in a persona repository, wherein the selected persona style maintains the meaning of a text string while adapting the text string to include an inherent mood, strength, and/or feeling based on the selected persona style and wherein according to the selected persona style, a text string may be dynamically modified to convey the desired style of expression; present a plurality of substitute elements to the user, via the electronic display, wherein each substitute element is compatible with a unique persona style, and at least one substitute element is compatible with the selected persona style, in response to a determination that the element of the original content of the written communication is incompatible with the selected persona style; and replace the element of the original content with the substitute element in response to a selection of the substitute element by the user.
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1. A non-transitory computer program product comprising a computer useable storage device to store a computer readable program that, when executed on a processor within a computer, causes the computer to perform operations to apply persona styles to written communications, the operations comprising: receive an element of original content from a written communication of a user; receive a selection of a persona style, wherein the selected persona style defines a communication style, the persona style one of a plurality of unique persona style stored in a persona repository, wherein the selected persona style maintains the meaning of a text string while adapting the text string to include an inherent mood, strength, and/or feeling based on the selected persona style and wherein according to the selected persona style, a text string may be dynamically modified to convey the desired style of expression; present a plurality of substitute elements to the user, via the electronic display, wherein each substitute element is compatible with a unique persona style, and at least one substitute element is compatible with the selected persona style, in response to a determination that the element of the original content of the written communication is incompatible with the selected persona style; and replace the element of the original content with the substitute element in response to a selection of the substitute element by the user. 3. The non-transitory computer program product of claim 1 , wherein the computer readable program, when executed on the computer, causes the computer to perform an operation to derive a context for the written communication from system properties and application configuration variables.
| 0.674603 |
8,925,057 | 12 | 14 |
12. A method of user verification employing a processor operating to perform actions in response to executing computer program instructions, comprising: receiving an access request; generating, by a nontransitory computer readable medium having stored thereon instructions for generating, one or more video-based automated tests that are based on at least two properties of human vision comprising at least persistence of vision and simultaneous contrast wherein simultaneous contrast comprises enhancement or diminishment, relative to normal, of perception, cognition and related performance as a result of immediately previous or simultaneous exposure to a stimulus of lesser or greater value in the same dimension wherein generating the one or more video-based automated tests further comprises generating a video of a target image comprising text data of one or more of randomly selected letters or meaningful words, segmenting the target image into a grid of segments wherein each segment is of a predetermined size, generating a set of colors for inclusion into the target image in the video, and splitting the grid of segments across a plurality of framesets such that occurrence rates of the positive data comprising the target image or the text data and negative data including the whitespace data is the same; issuing the one or more tests; receiving a response to the one or more tests from the access requestors; and verifying that the access request originated from a human user based at least on the response.
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12. A method of user verification employing a processor operating to perform actions in response to executing computer program instructions, comprising: receiving an access request; generating, by a nontransitory computer readable medium having stored thereon instructions for generating, one or more video-based automated tests that are based on at least two properties of human vision comprising at least persistence of vision and simultaneous contrast wherein simultaneous contrast comprises enhancement or diminishment, relative to normal, of perception, cognition and related performance as a result of immediately previous or simultaneous exposure to a stimulus of lesser or greater value in the same dimension wherein generating the one or more video-based automated tests further comprises generating a video of a target image comprising text data of one or more of randomly selected letters or meaningful words, segmenting the target image into a grid of segments wherein each segment is of a predetermined size, generating a set of colors for inclusion into the target image in the video, and splitting the grid of segments across a plurality of framesets such that occurrence rates of the positive data comprising the target image or the text data and negative data including the whitespace data is the same; issuing the one or more tests; receiving a response to the one or more tests from the access requestors; and verifying that the access request originated from a human user based at least on the response. 14. The method of claim 12 , wherein generating a set of colors comprises generating a set of three or more colors that exploits simultaneous contrast characteristic of human vision.
| 0.653992 |
6,082,775 | 4 | 28 |
4. The counterfeit-resistant document of claim 1, wherein said unique chemical signature comprises a chemical identifying agent.
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4. The counterfeit-resistant document of claim 1, wherein said unique chemical signature comprises a chemical identifying agent. 28. The counterfeit-resistant document of claim 4, wherein said chemical identifying agent is unique.
| 0.589431 |
10,037,374 | 25 | 26 |
25. An apparatus, comprising: one or more network access ports configured to receive at least a first data stream from a first device and a second data stream from a second device, wherein the first data stream and the second data stream each include one or more sequenced data items; one or more processors configured to: construct a first grammar associated with the first device and a second grammar associated with the second device, wherein the first grammar and the second grammar each comprise a symbol sequence that re-expresses the one or more sequenced data items in the respective data streams received from the first device and the second device; calculate one or more distance metrics that quantify a similarity between the first grammar and the second grammar according to a comparison between one or more rules that represent a repeated pattern in the symbol sequence associated with the first grammar and one or more rules that represent a repeated pattern in the symbol sequence associated with the second grammar; and determine a relationship between the first device and the second device according to the one or more distance metrics.
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25. An apparatus, comprising: one or more network access ports configured to receive at least a first data stream from a first device and a second data stream from a second device, wherein the first data stream and the second data stream each include one or more sequenced data items; one or more processors configured to: construct a first grammar associated with the first device and a second grammar associated with the second device, wherein the first grammar and the second grammar each comprise a symbol sequence that re-expresses the one or more sequenced data items in the respective data streams received from the first device and the second device; calculate one or more distance metrics that quantify a similarity between the first grammar and the second grammar according to a comparison between one or more rules that represent a repeated pattern in the symbol sequence associated with the first grammar and one or more rules that represent a repeated pattern in the symbol sequence associated with the second grammar; and determine a relationship between the first device and the second device according to the one or more distance metrics. 26. The apparatus recited in claim 25 , wherein the one or more distance metrics include at least one distance metric that quantifies a syntactic similarity between the first grammar and the second grammar.
| 0.542222 |
8,136,025 | 29 | 37 |
29. A computer program product for use in conjunction with a computer system, the computer program product comprising a computer readable storage medium and a computer program mechanism therein, the computer program mechanism comprising: a data structure representing a subdivision of a predetermined set of monotonically ordered document identification tags into a plurality of tiers, wherein the plurality of tiers are monotonically ordered with respect to a query-independent document importance metric, wherein each tier is associated with a respective subset of the set of document identification tags, and wherein the data structure includes a representation of a monotonic ordering of the tiers; an interface configured to receive query-independent information about a new document, the information including the query-independent document importance metric; and a tag assignment module including instructions for selecting, based at least on the query-independent information, one of the tiers; and assigning to the new document a document identification tag from the respective subset of document identification tags associated with the selected tier, the assigned document identification tag not previously assigned to any of the documents in a collection of documents.
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29. A computer program product for use in conjunction with a computer system, the computer program product comprising a computer readable storage medium and a computer program mechanism therein, the computer program mechanism comprising: a data structure representing a subdivision of a predetermined set of monotonically ordered document identification tags into a plurality of tiers, wherein the plurality of tiers are monotonically ordered with respect to a query-independent document importance metric, wherein each tier is associated with a respective subset of the set of document identification tags, and wherein the data structure includes a representation of a monotonic ordering of the tiers; an interface configured to receive query-independent information about a new document, the information including the query-independent document importance metric; and a tag assignment module including instructions for selecting, based at least on the query-independent information, one of the tiers; and assigning to the new document a document identification tag from the respective subset of document identification tags associated with the selected tier, the assigned document identification tag not previously assigned to any of the documents in a collection of documents. 37. The computer program product of claim 29 , wherein the tag assignment module further includes instructions for detecting satisfaction of a flush condition and for, when the flush condition is satisfied, executing a flush operation, including building a sorted map, the sorted map relating globally unique identifiers to document identification tags assigned to documents since a prior flush operation.
| 0.723361 |
8,015,051 | 2 | 3 |
2. The method of claim 1 , further comprising presenting results including the identified software application to a user.
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2. The method of claim 1 , further comprising presenting results including the identified software application to a user. 3. The method of claim 2 , further comprising ranking a plurality of software applications included in the results.
| 0.653614 |
6,125,361 | 9 | 13 |
9. A computer program device comprising: a computer program storage device readable by a digital processing apparatus; and a program means on the program storage device and including instructions executable by the digital processing apparatus for performing method steps for finding key words in a set of documents, the method steps comprising: receiving the set of documents; determining referring documents and referred-to documents in the set of documents, the referring documents being documents in the set containing references to referred-to documents; for each document term in a referring document, determining the number of times the document term appears within a predetermined distance of a reference to a referred-to document; and ranking at least some of the document terms in the documents based on the respective number of times.
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9. A computer program device comprising: a computer program storage device readable by a digital processing apparatus; and a program means on the program storage device and including instructions executable by the digital processing apparatus for performing method steps for finding key words in a set of documents, the method steps comprising: receiving the set of documents; determining referring documents and referred-to documents in the set of documents, the referring documents being documents in the set containing references to referred-to documents; for each document term in a referring document, determining the number of times the document term appears within a predetermined distance of a reference to a referred-to document; and ranking at least some of the document terms in the documents based on the respective number of times. 13. The computer program device of claim 9, wherein the method steps further comprise: receiving a lexical distance, the lexical distance defining a number of document terms; receiving a query including one or more query terms; and determining a number of times at least one of the query terms is present in the first document within the lexical distance of the reference to the second document, for ranking the documents based thereon.
| 0.5 |
9,792,282 | 1 | 7 |
1. A method comprising: analyzing, using a processor and a memory, a portion of a software product to determine a first language used in the portion and a subject-matter domain of the portion; extracting using the processor and the memory, a string from the portion, wherein the string has been translated into the first language of the string from an original string in an original language, the original string existing in a version of the software product in the original language; selecting a corpus, wherein the corpus comprises a set of stored strings, each stored string in the set being in the first language, and wherein a subset of the set of stored strings is selected from a content that is related to the subject-matter domain of the software product; selecting, responsive to the string matching a stored string in the corpus, the string into a shortlist; excluding, from the shortlist a second string extracted from the portion, the second string failing to match any stored string in the corpus; and outputting the shortlist, the outputting causing a review of an accuracy of a machine translation process to be performed.
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1. A method comprising: analyzing, using a processor and a memory, a portion of a software product to determine a first language used in the portion and a subject-matter domain of the portion; extracting using the processor and the memory, a string from the portion, wherein the string has been translated into the first language of the string from an original string in an original language, the original string existing in a version of the software product in the original language; selecting a corpus, wherein the corpus comprises a set of stored strings, each stored string in the set being in the first language, and wherein a subset of the set of stored strings is selected from a content that is related to the subject-matter domain of the software product; selecting, responsive to the string matching a stored string in the corpus, the string into a shortlist; excluding, from the shortlist a second string extracted from the portion, the second string failing to match any stored string in the corpus; and outputting the shortlist, the outputting causing a review of an accuracy of a machine translation process to be performed. 7. The method of claim 1 , further comprising: selecting, as the portion of the software product, code of the software product, wherein the code includes the string.
| 0.73127 |
8,073,840 | 27 | 35 |
27. An article of manufacture having computer-readable program portions embedded thereon for accessing data in a record-based data storage system in response to a join query, the program portions comprising instructions for: searching documents and storing join mappings, the join mappings mapping join keys to documents and join key values to the documents; using an index, returning primary and secondary result sets for primary and secondary queries of the join query; using the join mappings, identifying documents from the primary result sets and the secondary result sets that have common field values; retrieving at least a subset of the identified documents from the primary result sets and the secondary result sets that have common field values.
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27. An article of manufacture having computer-readable program portions embedded thereon for accessing data in a record-based data storage system in response to a join query, the program portions comprising instructions for: searching documents and storing join mappings, the join mappings mapping join keys to documents and join key values to the documents; using an index, returning primary and secondary result sets for primary and secondary queries of the join query; using the join mappings, identifying documents from the primary result sets and the secondary result sets that have common field values; retrieving at least a subset of the identified documents from the primary result sets and the secondary result sets that have common field values. 35. The article of manufacture of claim 27 wherein the program portions further comprise instructions for: determining if sufficient volatile memory is available to store the join mappings; if sufficient memory exists, storing the join mapping in volatile memory; and if sufficient memory does not exist, deleting existing join mappings and storing the join mapping.
| 0.5 |
10,055,103 | 1 | 23 |
1. A computer-implemented method of entering text in an application, the method comprising: receiving a first input gesture at a location in an input field with autocomplete of the application; presenting, in response to the first input gesture in the input field, a cycling interface for cycling through characters available for entry into the input field, wherein presenting the cycling interface further comprises providing an overlay box superimposed over the input field, the input field comprising a search field of a web browser, and the one or more of the characters for cycling being provided for display within the overlay box; cycling through the characters for a duration of the first input gesture in the input field, wherein, for the duration of the first input gesture, the cycling interface provides for display shifting of the characters in a particular direction; selecting a character from the cycled characters at an end of the duration of the first input gesture in the input field, the duration of the first input gesture indicating which of the cycled characters to select for entry into the input field; and providing the selected cycled character for display within the input field, the location of the first input gesture in the input field indicating where to locate the selected cycled character for display.
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1. A computer-implemented method of entering text in an application, the method comprising: receiving a first input gesture at a location in an input field with autocomplete of the application; presenting, in response to the first input gesture in the input field, a cycling interface for cycling through characters available for entry into the input field, wherein presenting the cycling interface further comprises providing an overlay box superimposed over the input field, the input field comprising a search field of a web browser, and the one or more of the characters for cycling being provided for display within the overlay box; cycling through the characters for a duration of the first input gesture in the input field, wherein, for the duration of the first input gesture, the cycling interface provides for display shifting of the characters in a particular direction; selecting a character from the cycled characters at an end of the duration of the first input gesture in the input field, the duration of the first input gesture indicating which of the cycled characters to select for entry into the input field; and providing the selected cycled character for display within the input field, the location of the first input gesture in the input field indicating where to locate the selected cycled character for display. 23. The method of claim 1 , further comprising: if the input field contains characters: providing for display a prompt, the prompt identifying an option to erase the input field; receiving user input via the prompt, the user input indicating user selection of the option to erase the input field; and erasing the input field based on the user selection.
| 0.721169 |
9,800,618 | 2 | 3 |
2. The system of claim 1 , wherein the editor enables execution of a process to define at least one category, and populate each category with a respective group of user identity attributes.
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2. The system of claim 1 , wherein the editor enables execution of a process to define at least one category, and populate each category with a respective group of user identity attributes. 3. The system of claim 2 , wherein the engine performs the evaluation using the privacy preference of any category that references the at least one required attribute responsive to an indication of at least one required attribute as specified in the security policy requirements.
| 0.5 |
7,689,580 | 7 | 8 |
7. The method of claim 1 comprising: via a search user interface, receiving at the semantic engine a search string for querying of the first and second transactional applications; displaying a listing of search results for the first and second transactional applications; displaying a link associated with the search results for the first transactional application that invokes the first transactional application; and displaying a link associated with the search results for the second transactional application that invokes the second transactional application.
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7. The method of claim 1 comprising: via a search user interface, receiving at the semantic engine a search string for querying of the first and second transactional applications; displaying a listing of search results for the first and second transactional applications; displaying a link associated with the search results for the first transactional application that invokes the first transactional application; and displaying a link associated with the search results for the second transactional application that invokes the second transactional application. 8. The method of claim 7 comprising: at the semantic engine, performing the querying of the first and second transactional applications using index store and without accessing the first and second transactional applications.
| 0.5 |
8,301,578 | 13 | 14 |
13. The computer-readable storage medium of claim 12 , the steps further comprising: tagging the time variant data as either a known signal of interest or as being a potential signal of interest.
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13. The computer-readable storage medium of claim 12 , the steps further comprising: tagging the time variant data as either a known signal of interest or as being a potential signal of interest. 14. The computer-readable storage medium of claim 13 , the steps further comprising: expanding the known signals of interest to include the potential signal of interest, wherein the expanded known signals of interest are then used to analyze subsequent time variant data.
| 0.5 |
10,146,770 | 8 | 10 |
8. 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 computing device, causes the computing device to implement a cognitive system for capturing referential information, wherein the computer readable program causes the computing device to: receive, by a message aggregator executing within the cognitive system, a first indication that a group text messaging conversation is in a muted state for a first user, detect, by a cognitive agent executing within the cognitive system, a first use of a referential phrase in the group text messaging conversation during a first time period when the group text messaging conversation is in the muted state wherein detecting the first use of the referential phrase comprises: parsing, by a parser executing within the cognitive agent, one or more conversation message within the group text messaging conversation to perform parsing and semantic analysis to annotate the one or more conversation messages; extracting, by a feature extraction component executing within the cognitive agent, a set of features from the one or more conversation message describing the one or more conversation message; and processing by a natural language classifier component executing within the cognitive agent, the set of features to identify that the one or more conversation messages contain the first use of the referential phrase using a machine learning model that determines a category for each term or phrase based on the set of features and calculates a confidence for each category; receive, by the message aggregator, a second indication that the group text messaging conversation is in a non-muted state for the first user; detect, by the cognitive agent, a second use of the referential phrase in the group text messaging conversation during a second time period when the group text messaging conversation is in the non-muted state, wherein the second time period is subsequent to the first time period; alter, by the cognitive agent, a message containing the second use of the referential phrase within the group text messaging conversation within a multi-user chat display; determine, by the cognitive system, a first probability that the first user understands the referential phrase; and provide, by the cognitive system, first information to the first user within the multi-user chat display when the first probability is below a threshold, wherein the first information pertains to the referential phrase.
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8. 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 computing device, causes the computing device to implement a cognitive system for capturing referential information, wherein the computer readable program causes the computing device to: receive, by a message aggregator executing within the cognitive system, a first indication that a group text messaging conversation is in a muted state for a first user, detect, by a cognitive agent executing within the cognitive system, a first use of a referential phrase in the group text messaging conversation during a first time period when the group text messaging conversation is in the muted state wherein detecting the first use of the referential phrase comprises: parsing, by a parser executing within the cognitive agent, one or more conversation message within the group text messaging conversation to perform parsing and semantic analysis to annotate the one or more conversation messages; extracting, by a feature extraction component executing within the cognitive agent, a set of features from the one or more conversation message describing the one or more conversation message; and processing by a natural language classifier component executing within the cognitive agent, the set of features to identify that the one or more conversation messages contain the first use of the referential phrase using a machine learning model that determines a category for each term or phrase based on the set of features and calculates a confidence for each category; receive, by the message aggregator, a second indication that the group text messaging conversation is in a non-muted state for the first user; detect, by the cognitive agent, a second use of the referential phrase in the group text messaging conversation during a second time period when the group text messaging conversation is in the non-muted state, wherein the second time period is subsequent to the first time period; alter, by the cognitive agent, a message containing the second use of the referential phrase within the group text messaging conversation within a multi-user chat display; determine, by the cognitive system, a first probability that the first user understands the referential phrase; and provide, by the cognitive system, first information to the first user within the multi-user chat display when the first probability is below a threshold, wherein the first information pertains to the referential phrase. 10. The computer program product of claim 8 , wherein the determining the first probability comprises evaluating text surrounding the second use of referential phrase.
| 0.794335 |
10,032,454 | 1 | 3 |
1. A method comprising: classifying, by a computing device, speech into at least one voice cluster based on identified acoustic features of the speech, the at least one voice cluster corresponding to a text cluster and a customized language model that reflects characteristics of a speaker of the speech; determining, by the computing device, a text query based on the customized language model and one or more text strings determined based on the speech; receiving, by the computing device, search results based on the text query, each of the search results having a ranking indicating a measure of importance relative to other of the search results; and re-ranking, by the computing device, the search results based on re-scoring the search results using the text cluster; receiving a user interaction log comprising click data associated with a user interaction with the re-ranked search results; updating the at least one voice cluster based on the user interaction with the re-ranked search results; and updating the customized language model based on the click data associated with the user interaction with the re-ranked search results.
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1. A method comprising: classifying, by a computing device, speech into at least one voice cluster based on identified acoustic features of the speech, the at least one voice cluster corresponding to a text cluster and a customized language model that reflects characteristics of a speaker of the speech; determining, by the computing device, a text query based on the customized language model and one or more text strings determined based on the speech; receiving, by the computing device, search results based on the text query, each of the search results having a ranking indicating a measure of importance relative to other of the search results; and re-ranking, by the computing device, the search results based on re-scoring the search results using the text cluster; receiving a user interaction log comprising click data associated with a user interaction with the re-ranked search results; updating the at least one voice cluster based on the user interaction with the re-ranked search results; and updating the customized language model based on the click data associated with the user interaction with the re-ranked search results. 3. The method of claim 1 , comprising: receiving, by the computing device, the speech; converting, by the computing device, the speech into the one or more text strings using a speech recognition process; and determining, using an initial language model, a score for each of the one or more text strings, the score of each of the one or more text strings being used to compute a probability of correct conversion of the speech into the one or more text strings.
| 0.5 |
7,735,068 | 15 | 18 |
15. A computer readable storage medium useful in connection with a computer which includes a processor and a memory, the computer readable storage medium storing computer executable instructions which are configured to cause the computer to process data related to software design artifacts for quantifying relationships between concepts of a plurality of different types of software design artifacts related to a software application design by performing the method steps of: receiving data representing a plurality of software design artifacts, wherein the plurality of software design artifacts comprise at least one requirements specification artifact, at least one test plan artifact, at least one use-case artifact, and at least one class specification artifact; from the data representing the plurality of software design artifacts, extracting at least some concepts correspondingly associated with the plurality of the software design artifacts; from the at least some extracted concepts, extracting at least some key terms correspondingly associated with the at least some extracted concepts; determining term significance weights correspondingly associated with the at least some key terms; at least based on the term significance weights, quantifying the relationships between at least some of the extracted concepts of the plurality of the software design artifacts, the quantifying the relationships comprising: generating a matrix of relationship quotients that represent the quantified relationships between at least some of the extracted concepts of the plurality of the software design artifacts; normalizing value of a relationship quotient with highest value in the matrix to a value of 1 and normalizing values of rest of the relationship quotients proportionally thereto to generate a normalized version of the matrix; and based on the normalized values of the relationship quotients, classifying each relationship into one of the following three categories: High level relationship, Medium level relationship, and Low level relationship; and presenting the quantified relationships to a user via a user interface, including displaying the quantified relationships organized into their associated categories of High level relationship, Medium level relationship, and Low level relationship.
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15. A computer readable storage medium useful in connection with a computer which includes a processor and a memory, the computer readable storage medium storing computer executable instructions which are configured to cause the computer to process data related to software design artifacts for quantifying relationships between concepts of a plurality of different types of software design artifacts related to a software application design by performing the method steps of: receiving data representing a plurality of software design artifacts, wherein the plurality of software design artifacts comprise at least one requirements specification artifact, at least one test plan artifact, at least one use-case artifact, and at least one class specification artifact; from the data representing the plurality of software design artifacts, extracting at least some concepts correspondingly associated with the plurality of the software design artifacts; from the at least some extracted concepts, extracting at least some key terms correspondingly associated with the at least some extracted concepts; determining term significance weights correspondingly associated with the at least some key terms; at least based on the term significance weights, quantifying the relationships between at least some of the extracted concepts of the plurality of the software design artifacts, the quantifying the relationships comprising: generating a matrix of relationship quotients that represent the quantified relationships between at least some of the extracted concepts of the plurality of the software design artifacts; normalizing value of a relationship quotient with highest value in the matrix to a value of 1 and normalizing values of rest of the relationship quotients proportionally thereto to generate a normalized version of the matrix; and based on the normalized values of the relationship quotients, classifying each relationship into one of the following three categories: High level relationship, Medium level relationship, and Low level relationship; and presenting the quantified relationships to a user via a user interface, including displaying the quantified relationships organized into their associated categories of High level relationship, Medium level relationship, and Low level relationship. 18. The computer readable storage medium of claim 15 wherein, the similarity analysis is based at least in part on a s semantic meaning of the at least some of the key terms.
| 0.771053 |
9,476,730 | 14 | 15 |
14. The system of claim 10 , comprising instructions to cause the mobile computing device to recognize the smaller-scale objects by executing a context-free feature-sharing algorithm.
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14. The system of claim 10 , comprising instructions to cause the mobile computing device to recognize the smaller-scale objects by executing a context-free feature-sharing algorithm. 15. The mobile computing device of claim 14 , comprising instructions to cause the mobile computing device to recognize the smaller-scale objects by obtaining context information and classifying the smaller-scale objects based on the context information.
| 0.5 |
8,352,229 | 16 | 18 |
16. The computer program product of claim 15 , wherein the computer-usable medium comprises: computer usable program code that executes the simulation engine in cooperation with the high level modeling system to implement a simulation of the circuit design specified by the simulation model; computer usable program code that allocates the block of memory for use by the simulation engine; and computer usable program code that stores state information for the simulation within the block of memory.
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16. The computer program product of claim 15 , wherein the computer-usable medium comprises: computer usable program code that executes the simulation engine in cooperation with the high level modeling system to implement a simulation of the circuit design specified by the simulation model; computer usable program code that allocates the block of memory for use by the simulation engine; and computer usable program code that stores state information for the simulation within the block of memory. 18. The computer program product of claim 16 , wherein the computer-usable medium further comprises computer-usable program code that, during a simulation wherein the simulation engine is executing, passes information between the simulation engine and the high level modeling system only in the form of void pointers and functions in a specified high level programming language; wherein data types for data referenced by the void pointers are determined from the data type lookup table by the simulation engine; and wherein the source code contribution specifies functions configured to interact with the high level modeling system.
| 0.5 |
10,027,356 | 1 | 3 |
1. An apparatus of a transmitter, comprising: a bandpass filter (BPF) arranged to produce a transmitter output signal; and a digital front end (DFE) arranged to receive a carrier frequency signal, the DFE comprising: a zero crossing (ZC) pre-distorter (ZCPD) arranged to compensate for ZC distortion introduced by the BPF and produce code words to generate an input signal to be applied to the BPF; a linear phase interpolator (LPI) arranged to interpolate a first interpolated baseband in-phase quadrature-phase (IQ) signal and produce a second interpolated baseband IQ signal; ZC finder circuitry arranged to determine ZC positions of the second interpolated baseband IQ signal; Absolute Value Determiner (ABS) circuitry arranged to produce magnitudes of the second interpolated baseband IQ signal; Amplitude Determiner (AMP) circuitry arranged to determine the magnitudes of the second interpolated baseband IQ signal; and a synchronized First-In-First-Out (Sync FIFO) latch arranged to adjust clocking of the ZC positions and the magnitudes of the second interpolated baseband IQ signal to change a frequency of the ZC positions and the magnitudes of the second interpolated baseband IQ signal to a frequency of the carrier frequency signal and to produce output signals to the ZCPD.
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1. An apparatus of a transmitter, comprising: a bandpass filter (BPF) arranged to produce a transmitter output signal; and a digital front end (DFE) arranged to receive a carrier frequency signal, the DFE comprising: a zero crossing (ZC) pre-distorter (ZCPD) arranged to compensate for ZC distortion introduced by the BPF and produce code words to generate an input signal to be applied to the BPF; a linear phase interpolator (LPI) arranged to interpolate a first interpolated baseband in-phase quadrature-phase (IQ) signal and produce a second interpolated baseband IQ signal; ZC finder circuitry arranged to determine ZC positions of the second interpolated baseband IQ signal; Absolute Value Determiner (ABS) circuitry arranged to produce magnitudes of the second interpolated baseband IQ signal; Amplitude Determiner (AMP) circuitry arranged to determine the magnitudes of the second interpolated baseband IQ signal; and a synchronized First-In-First-Out (Sync FIFO) latch arranged to adjust clocking of the ZC positions and the magnitudes of the second interpolated baseband IQ signal to change a frequency of the ZC positions and the magnitudes of the second interpolated baseband IQ signal to a frequency of the carrier frequency signal and to produce output signals to the ZCPD. 3. The apparatus of claim 1 , wherein: the code words comprise a Digital-To-Time Converter (DTC) code word and a Digital Power Amplifier (DPA) code word, and the DFE further comprises: ZC-to-DTC circuitry arranged to receive a value based on an output of the ZCPD to produce a DTC code word and indicate ZC position to a DTC of the transmitter using the DTC code word; and an Amplitude Determiner (AMP)-to-DPA converter arranged to receive a magnitude value to produce the DPA code word to indicate a magnitude to a DPA of the transmitter.
| 0.5 |
7,693,720 | 47 | 48 |
47. The method according to claim 31 , further comprising: receiving diagnostic information from one or more sensors connected to the vehicle, wherein the diagnostic information relates to one or more problems with the vehicle; providing one or more interactive announcements or warnings to the user in response to the diagnostic information received from the one or more sensors; and mediating a solution to the one or more problems with the vehicle during the current dialog with the user.
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47. The method according to claim 31 , further comprising: receiving diagnostic information from one or more sensors connected to the vehicle, wherein the diagnostic information relates to one or more problems with the vehicle; providing one or more interactive announcements or warnings to the user in response to the diagnostic information received from the one or more sensors; and mediating a solution to the one or more problems with the vehicle during the current dialog with the user. 48. The method according to claim 47 , wherein the solution to the one or more problems includes at least one of scheduling service for the vehicle, summoning help to the vehicle over one or more communication links, providing remedial instructions that address one or more of the problems, ordering one or more parts for the vehicle, or providing a cost estimate for the scheduled service.
| 0.5 |
7,788,099 | 1 | 5 |
1. A computer implemented method for multimodal cross-vocabulary mapping, the computer implemented method comprising: annotating a corpus of multimodal content simultaneously using annotations from a plurality of vocabularies to form a set of common annotations; identifying relationships between a first vocabulary associated with a first modality and a second vocabulary associated with a second modality using the set of common annotations to form a multimodal vocabulary mapping; and mapping with a computing device items in the first vocabulary associated with the first modality to items in the second vocabulary associated with the second modality using the multimodal vocabulary mapping.
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1. A computer implemented method for multimodal cross-vocabulary mapping, the computer implemented method comprising: annotating a corpus of multimodal content simultaneously using annotations from a plurality of vocabularies to form a set of common annotations; identifying relationships between a first vocabulary associated with a first modality and a second vocabulary associated with a second modality using the set of common annotations to form a multimodal vocabulary mapping; and mapping with a computing device items in the first vocabulary associated with the first modality to items in the second vocabulary associated with the second modality using the multimodal vocabulary mapping. 5. The computer implemented method of claim 1 wherein the relationships between the first vocabulary associated with the first modality and the second vocabulary associated with the second modality are relationships selected from a group consisting of equivalence relationships, ontological relationships, lexical relationships, statistical relationships, and semantic association relationships.
| 0.659483 |
8,204,749 | 17 | 20 |
17. A computing device that detects emotion during a natural language dialog between a user and the computing device, the computing device comprising: a processor; a first module configured to control the processor to receive an utterance from a user in a human-computing device natural language dialog; a second module configured to control the processor to receive non-repetitive prompts in the natural language dialog, wherein the non-repetitive prompts are prompts by the computing device; and a third module configured to control the processor to detect an emotion of the user based on the utterance and at least in part on the non-repetitive prompts.
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17. A computing device that detects emotion during a natural language dialog between a user and the computing device, the computing device comprising: a processor; a first module configured to control the processor to receive an utterance from a user in a human-computing device natural language dialog; a second module configured to control the processor to receive non-repetitive prompts in the natural language dialog, wherein the non-repetitive prompts are prompts by the computing device; and a third module configured to control the processor to detect an emotion of the user based on the utterance and at least in part on the non-repetitive prompts. 20. The computing device of claim 17 , wherein the second module is further configured to receive contextual information used for detecting the emotion of the user, the contextual information comprising at least one of differential statistics, joint statistics, distance statistics, and statistics collected during a prior dialog between the user and the computing device including (1) differential information of prosodic features, (2) temporal variation of emotion indicators inter-utterance, and (3) temporal variation of emotion indicators intra-utterance.
| 0.5 |
8,104,017 | 76 | 77 |
76. The computer readable medium of claim 73 , where the generated report is one of: a coverage report, a model checking report, a code generation report, or a profiling report.
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76. The computer readable medium of claim 73 , where the generated report is one of: a coverage report, a model checking report, a code generation report, or a profiling report. 77. The computer readable medium of claim 76 , where the generated report comprises at least one of: a partial listing of the generated code, information related to a process used to generate the generated code, or information related to an execution of the generated code or the graphical model.
| 0.5 |
9,058,317 | 11 | 12 |
11. A system, comprising: a processing unit; a memory operatively coupled to the processing unit; and a program module which executes in the processing unit from the memory and which, when executed by the processing unit, causes the system to perform machine learning management functions that include: receiving a first segment of text data, identifying data features corresponding to a sequence of characters in the first segment of text data, generating predictive annotations to the sequence of characters based at least in part on the identified data features, identifying inaccurate annotations generated according to the predictive annotations, correcting the identified inaccurate annotations, generating at least one set of model training data incorporating the corrected annotations, and monitoring progress of annotations made to a second segment of text data associated with the first segment of text data by a plurality of collaborating users of a plurality of managed computers, the monitoring including determining, based at least in part on a training descriptor corresponding to the second segment of text data, a state of completion of annotations made to the second segment of text data by a particular one of the plurality of collaborating users, wherein the training descriptor identifies types of annotations in the at least one set of model training data.
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11. A system, comprising: a processing unit; a memory operatively coupled to the processing unit; and a program module which executes in the processing unit from the memory and which, when executed by the processing unit, causes the system to perform machine learning management functions that include: receiving a first segment of text data, identifying data features corresponding to a sequence of characters in the first segment of text data, generating predictive annotations to the sequence of characters based at least in part on the identified data features, identifying inaccurate annotations generated according to the predictive annotations, correcting the identified inaccurate annotations, generating at least one set of model training data incorporating the corrected annotations, and monitoring progress of annotations made to a second segment of text data associated with the first segment of text data by a plurality of collaborating users of a plurality of managed computers, the monitoring including determining, based at least in part on a training descriptor corresponding to the second segment of text data, a state of completion of annotations made to the second segment of text data by a particular one of the plurality of collaborating users, wherein the training descriptor identifies types of annotations in the at least one set of model training data. 12. The system of claim 11 , wherein at least one of the machine learning management functions is performed in response to receiving user input data that is received from a user via a user interface that is operatively coupled to the processing unit.
| 0.620061 |
7,689,546 | 18 | 19 |
18. The search system of claim 13 , wherein the means for generating a search request performs the further function of editing the text of the headnote to generate the search request.
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18. The search system of claim 13 , wherein the means for generating a search request performs the further function of editing the text of the headnote to generate the search request. 19. The search system of claim 18 , wherein the means for generating a search request performs the further function of subjecting the text of the headnote to a phrase recognition process and identifying keywords in the headnote text, and edits the headnote text by applying rules to remove terms from the search request if the number of keywords identified in the headnote text is greater than a set threshold.
| 0.5 |
9,542,291 | 1 | 12 |
1. An event-based system configured for self-monitoring, comprising: processing resources including at least one processor and a memory; and a complex event processing (CEP) engine configured to cooperate with the processing resources to consume events published to an event bus and produce events in accordance with at least one continuous query; wherein the CEP engine comprises a first continuous query configured to produce events of a first event type, publish the produced events of the first event type to the event bus, and to consume the events of the first event type published to the event bus by the first continuous query; and wherein the CEP engine is configured to detect performance issues based on the first continuous query.
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1. An event-based system configured for self-monitoring, comprising: processing resources including at least one processor and a memory; and a complex event processing (CEP) engine configured to cooperate with the processing resources to consume events published to an event bus and produce events in accordance with at least one continuous query; wherein the CEP engine comprises a first continuous query configured to produce events of a first event type, publish the produced events of the first event type to the event bus, and to consume the events of the first event type published to the event bus by the first continuous query; and wherein the CEP engine is configured to detect performance issues based on the first continuous query. 12. The event-based system of claim 1 , wherein events of the first event type are produced only after a pre-defined waiting time has elapsed, and wherein the monitoring system is configured to automatically adjust the pre-defined waiting time.
| 0.833561 |
8,359,576 | 10 | 13 |
10. Software embodied in one or more non-transitory computer-readable tangible media and when executed operable to: access one or more global temporal requirements of an application specified using one or more requirement templates from a library of requirement templates, the application comprising business logic; access a model of the application, the model comprising the business logic of the application and one or more use cases for the application; generate one or more symbolic requirements from one or more variables in one or more of the global temporal requirements specified as symbolic variables; generate one or more symbolic expressions and one or more search path conditions for one or more variables in one or more of the global temporal requirements with values from symbolic inputs derived from one or more use cases for the application; search a state space of the application model with a model checker, the search comprising constructing and analyzing a graph of the state space and creating and maintaining one or more symbolic expressions and one or more search paths during the search; monitor the search of the state space for events in the state space encompassed by the symbolic requirements and modifying the construction of the graph of the state space to record potential occurrence of one or more events encompassed by the symbolic requirements; solve one or more symbolic expressions from one or more of the symbolic requirements at one or more ends of one or more search paths in the graph of the state space to determine whether one or more of the symbolic requirements are valid; and communicate whether one or more of the symbolic requirements are valid for presentation to a user.
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10. Software embodied in one or more non-transitory computer-readable tangible media and when executed operable to: access one or more global temporal requirements of an application specified using one or more requirement templates from a library of requirement templates, the application comprising business logic; access a model of the application, the model comprising the business logic of the application and one or more use cases for the application; generate one or more symbolic requirements from one or more variables in one or more of the global temporal requirements specified as symbolic variables; generate one or more symbolic expressions and one or more search path conditions for one or more variables in one or more of the global temporal requirements with values from symbolic inputs derived from one or more use cases for the application; search a state space of the application model with a model checker, the search comprising constructing and analyzing a graph of the state space and creating and maintaining one or more symbolic expressions and one or more search paths during the search; monitor the search of the state space for events in the state space encompassed by the symbolic requirements and modifying the construction of the graph of the state space to record potential occurrence of one or more events encompassed by the symbolic requirements; solve one or more symbolic expressions from one or more of the symbolic requirements at one or more ends of one or more search paths in the graph of the state space to determine whether one or more of the symbolic requirements are valid; and communicate whether one or more of the symbolic requirements are valid for presentation to a user. 13. The software of claim 10 , wherein the business logic of the application is implemented in JAVA.
| 0.950884 |
8,090,552 | 1 | 8 |
1. A device comprising: a processing module configured to: receive data from a process sensor, the data including data associated with a system monitored or controlled by the process sensor, a description of the data and a description of a quality of the data, and execute a transformation process for mapping the data from the process sensor to a process parameter associated with the system monitored or controlled by the process sensor, wherein the process parameter is capable of being processed by a process controller that is incapable of processing the data from the process sensor; and an output module configured to: receive the process parameter, generate an output signal representing the process parameter, and output the process parameter to the process controller capable of processing the process parameter and incapable of processing the data from the process sensor.
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1. A device comprising: a processing module configured to: receive data from a process sensor, the data including data associated with a system monitored or controlled by the process sensor, a description of the data and a description of a quality of the data, and execute a transformation process for mapping the data from the process sensor to a process parameter associated with the system monitored or controlled by the process sensor, wherein the process parameter is capable of being processed by a process controller that is incapable of processing the data from the process sensor; and an output module configured to: receive the process parameter, generate an output signal representing the process parameter, and output the process parameter to the process controller capable of processing the process parameter and incapable of processing the data from the process sensor. 8. The device of claim 1 , wherein the process parameter comprises an alarm.
| 0.907543 |
8,209,660 | 13 | 17 |
13. A system comprising: a processing unit; a memory operatively coupled to the processing unit, wherein the memory comprises: a software structure schema, wherein the software structure schema stores layers that define a software system in a business environment, wherein the software structure schema is configured to store customer requirements of the software system; model business-software architecture of the software system in a first level of the schema as business functions, business activities, forms, actions, and business rules, wherein each of the business functions comprises functions performed in a business process of the software system, wherein each of the business activities comprises activities performed in each of the business functions, wherein each of the forms comprises semantics to capture and retrieve information for each of the business activities, wherein each of the actions comprises tasks performed in each of the forms, and wherein each of the business rules comprises rules that govern each of the actions; model design architecture of the software system in a second level of the schema as components, system entry points, user interfaces, services, and methods, wherein each of the components corresponds to each of the business functions of the business process, wherein each of the system entry points corresponds to visual-interface elements of each of the business activities, wherein each of the user interfaces with visual-interface elements corresponds to each of the forms, wherein each of the services corresponds to each of the actions performed in each of the user interfaces, and wherein each of the methods corresponds to each of the business rules that are invoked in handling each of the services; define events that connect the first level and second level of the schema, wherein event comprises entry events and exit events, and wherein each of the entry events is a stimulus that triggers a business function, a business activity, or a form and each of the exit events is a response from the respective business function, business activity, or form to the stimulus; define links that represent interactions between the user interfaces, wherein each of the links comprises cross connections between the visual-interface elements in the user interfaces and the events associated with at least one of the business functions, business activities, and forms; define integration services for each of the events, wherein integration services define cross connections for data updates between the events associated with at least one of the business functions, business activities, and forms in the first level and services and methods in the second level; and map each of the business functions, business activities, forms, actions, and business rules in the first level to a corresponding one of the components, system entry points, user interfaces, services, and methods in the second level using the events, links and integration services; a knowledge repository to create and store a traversable user interface representing the mappings between the first level and the second level of the schema; a change requests module to identify changes to the software system in the business environment, wherein the changes are associated with at least one of the business functions, business activities, forms, actions, and business rules; and an impact analysis module to analyze impact of the changes to the software system using the knowledge repository with the traversable user interface.
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13. A system comprising: a processing unit; a memory operatively coupled to the processing unit, wherein the memory comprises: a software structure schema, wherein the software structure schema stores layers that define a software system in a business environment, wherein the software structure schema is configured to store customer requirements of the software system; model business-software architecture of the software system in a first level of the schema as business functions, business activities, forms, actions, and business rules, wherein each of the business functions comprises functions performed in a business process of the software system, wherein each of the business activities comprises activities performed in each of the business functions, wherein each of the forms comprises semantics to capture and retrieve information for each of the business activities, wherein each of the actions comprises tasks performed in each of the forms, and wherein each of the business rules comprises rules that govern each of the actions; model design architecture of the software system in a second level of the schema as components, system entry points, user interfaces, services, and methods, wherein each of the components corresponds to each of the business functions of the business process, wherein each of the system entry points corresponds to visual-interface elements of each of the business activities, wherein each of the user interfaces with visual-interface elements corresponds to each of the forms, wherein each of the services corresponds to each of the actions performed in each of the user interfaces, and wherein each of the methods corresponds to each of the business rules that are invoked in handling each of the services; define events that connect the first level and second level of the schema, wherein event comprises entry events and exit events, and wherein each of the entry events is a stimulus that triggers a business function, a business activity, or a form and each of the exit events is a response from the respective business function, business activity, or form to the stimulus; define links that represent interactions between the user interfaces, wherein each of the links comprises cross connections between the visual-interface elements in the user interfaces and the events associated with at least one of the business functions, business activities, and forms; define integration services for each of the events, wherein integration services define cross connections for data updates between the events associated with at least one of the business functions, business activities, and forms in the first level and services and methods in the second level; and map each of the business functions, business activities, forms, actions, and business rules in the first level to a corresponding one of the components, system entry points, user interfaces, services, and methods in the second level using the events, links and integration services; a knowledge repository to create and store a traversable user interface representing the mappings between the first level and the second level of the schema; a change requests module to identify changes to the software system in the business environment, wherein the changes are associated with at least one of the business functions, business activities, forms, actions, and business rules; and an impact analysis module to analyze impact of the changes to the software system using the knowledge repository with the traversable user interface. 17. The system of claim 13 , wherein the customer requirements are captured through triggered events.
| 0.836039 |
8,195,772 | 4 | 5 |
4. A method according to claim 3 , wherein said tagged data file is in a self-describing language.
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4. A method according to claim 3 , wherein said tagged data file is in a self-describing language. 5. A method according to claim 4 , wherein said language is a hyper-text mark-up language.
| 0.5 |
7,478,142 | 14 | 18 |
14. A computer program product for executing an application, the computer program product being embodied in a tangible computer readable medium and including instructions that, when executed by a processor, cause the processor to: load a first package within the computer program product, the first package including a first manifest and a first archive of files that include instructions and content needed to execute the application, the first archive of files including: an initial file that includes instructions for initiating execution of the application, the initial file being a markup language file, other files needed to execute the application, and a second package that includes a second manifest and a second archive of files, the second package being of the same type as the first package, and the second archive of files being of the same type of file structure as the first archive of files; the first manifest including an initial file identifier that indicates that the initial file is to be processed before the other files in the first archive of files when the application is executed; automatically access the first manifest in response to loading the first package within the computer program product; locate the initial file identifier in the first manifest; access the instructions for initiating the execution of the application from the initial file based on the located initial file identifier; process the accessed instructions from the initial file; and automatically initiate execution of the application based on the processed instructions.
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14. A computer program product for executing an application, the computer program product being embodied in a tangible computer readable medium and including instructions that, when executed by a processor, cause the processor to: load a first package within the computer program product, the first package including a first manifest and a first archive of files that include instructions and content needed to execute the application, the first archive of files including: an initial file that includes instructions for initiating execution of the application, the initial file being a markup language file, other files needed to execute the application, and a second package that includes a second manifest and a second archive of files, the second package being of the same type as the first package, and the second archive of files being of the same type of file structure as the first archive of files; the first manifest including an initial file identifier that indicates that the initial file is to be processed before the other files in the first archive of files when the application is executed; automatically access the first manifest in response to loading the first package within the computer program product; locate the initial file identifier in the first manifest; access the instructions for initiating the execution of the application from the initial file based on the located initial file identifier; process the accessed instructions from the initial file; and automatically initiate execution of the application based on the processed instructions. 18. The computer program product of claim 14 , wherein: the initial file comprises a source file for a web page, the instructions for initiating execution of the application from the initial file comprise instructions for rendering the web page, and the instructions that, when executed by the processor, cause the processor to automatically initiate execution of the application comprises instructions that, when executed by the processor, cause the processor to render the web page in accordance with the instructions for rendering the web page.
| 0.518486 |
7,634,728 | 1 | 2 |
1. A processor-implemented method for providing a runtime environment comprising: transforming a passive document into a first active document by creating a first shell exclusively for the first active document; wherein the first shell surrounds the first active document, and comprises: an executable code that provides management and connectivity features to the first active document; and an interface to provide access to the first active document; registering the first shell with a first helper upon activation of the first shell; wherein the first shell has a computational power that is substantially smaller than a computational power of the first helper; wherein the first helper provides to the first shell, at least some of the processing power of the first helper; wherein the first helper selectively performs, on demand, at least some of the tasks on behalf of the first shell; wherein the first shell operates in the runtime environment to coordinate the management and connectivity features and to distribute tasks; wherein the first active document is processable as a process rather than a passive document; and wherein the first active document gradually collects additional data and state information.
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1. A processor-implemented method for providing a runtime environment comprising: transforming a passive document into a first active document by creating a first shell exclusively for the first active document; wherein the first shell surrounds the first active document, and comprises: an executable code that provides management and connectivity features to the first active document; and an interface to provide access to the first active document; registering the first shell with a first helper upon activation of the first shell; wherein the first shell has a computational power that is substantially smaller than a computational power of the first helper; wherein the first helper provides to the first shell, at least some of the processing power of the first helper; wherein the first helper selectively performs, on demand, at least some of the tasks on behalf of the first shell; wherein the first shell operates in the runtime environment to coordinate the management and connectivity features and to distribute tasks; wherein the first active document is processable as a process rather than a passive document; and wherein the first active document gradually collects additional data and state information. 2. The method of claim 1 , further comprising the first shell sending a command to at least a second shell of a second active document.
| 0.5 |
9,251,209 | 6 | 7 |
6. An in memory data grid (IMDG) data processing system comprising: a host computing system comprising at least one computer with at least one processor and memory; an IMDG disposed in the host computing system; and, a proxy cache module comprising program code enabled to receive from a client of the IMDG a request for a primary query in the IMDG, to monitor resource utilization in the IMDG, to associate the primary query with a previously requested sub-query related to the primary query in response to the monitored resource utilization falling below a threshold value indicating available resource utilization, wherein associating the primary query with the previously requested sub-query comprises determining that a sub-query uses a portion of a result set from a previously requested primary query and mapping the previously requested primary query to the sub-query, wherein the previously requested sub-query is associated with the primary query in reference to fields of the primary query upon which the sub-query is based, to direct the sub-query concurrently with a directing of the primary query without waiting to receive a request for the sub-query from the client in response to the monitored resource utilization falling below the threshold value, and to cache query results of the sub-query subsequent to a completion of the primary query.
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6. An in memory data grid (IMDG) data processing system comprising: a host computing system comprising at least one computer with at least one processor and memory; an IMDG disposed in the host computing system; and, a proxy cache module comprising program code enabled to receive from a client of the IMDG a request for a primary query in the IMDG, to monitor resource utilization in the IMDG, to associate the primary query with a previously requested sub-query related to the primary query in response to the monitored resource utilization falling below a threshold value indicating available resource utilization, wherein associating the primary query with the previously requested sub-query comprises determining that a sub-query uses a portion of a result set from a previously requested primary query and mapping the previously requested primary query to the sub-query, wherein the previously requested sub-query is associated with the primary query in reference to fields of the primary query upon which the sub-query is based, to direct the sub-query concurrently with a directing of the primary query without waiting to receive a request for the sub-query from the client in response to the monitored resource utilization falling below the threshold value, and to cache query results of the sub-query subsequent to a completion of the primary query. 7. The system of claim 6 , wherein the proxy cache module is disposed within the IMDG.
| 0.653226 |
8,161,418 | 10 | 11 |
10. The method of claim 8 , wherein media content data is comprised of at least one of an advertisement, coupon, news item, calendar listing, reminder, and entertainment item.
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10. The method of claim 8 , wherein media content data is comprised of at least one of an advertisement, coupon, news item, calendar listing, reminder, and entertainment item. 11. The method of claim 10 , further comprising: receiving a document output request corresponding to media content data displayed on the user interface; and generating a tangible document output corresponding to the displayed media content in accordance with the document output request.
| 0.5 |
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