Patents by Inventor Homa Javahery
Homa Javahery has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10839134Abstract: Elements in source data statements are matched to respective one or more entries in an ontology associated with a domain that had been selected for the source data statements. The source data statements had been received for a request. The ontology includes items and relationships that define the selected domain. The one or more entries are assigned to the matched elements, respectively, to annotate each matched element with a respective annotation consisting of the respective one or more entries. The annotated elements are saved with the respective annotations. The annotations are used to generate a search query for the request.Type: GrantFiled: June 13, 2017Date of Patent: November 17, 2020Assignee: International Business Machines CorporationInventors: Currie P. Boyle, Homa Javahery, Eniko I. Rozsa
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Patent number: 10162885Abstract: A method for providing information to a user in response to a received user query. A natural language analysis generates substrings relevant to an input user query pertaining to a problem a user experiences with a product or service. An ontology analysis outputs: terms of an ontology matching the relevant generated substrings; and relationships between the terms. Elements of a perfect or complete query are captured and include information pertaining to the user's problem. The input user query is refined based on the outputted terms and relationships between the terms. A search query is performed, based on the refined user query. The results of the search are provided to the user.Type: GrantFiled: May 29, 2018Date of Patent: December 25, 2018Assignee: International Business Machines CorporationInventors: Eniko I. Rozsa, Homa Javahery, Paul Alan Yamamoto, Peter C. Boyle
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Publication number: 20180276293Abstract: A method for providing information to a user in response to a received user query. A natural language analysis generates substrings relevant to an input user query pertaining to a problem a user experiences with a product or service. An ontology analysis outputs: terms ontology matching the relevant generated substrings; and relationships between the terms. Elements of a perfect or complete query are captured and include information pertaining to the user's problem. The input user query is refined based on the outputted terms and relationships between the terms. A search query is performed, based on the refined user query. The results of the search are provided to the user.Type: ApplicationFiled: May 29, 2018Publication date: September 27, 2018Inventors: Eniko I. Rozsa, Homa Javahery, Paul Alan Yamamoto, Peter C. Boyle
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Publication number: 20180218067Abstract: A system for implementing a method that provides information to a user in response to a received user query. A natural language analysis generates substrings relevant to the user query. An ontology analysis outputs: terms of an ontology matching the relevant generated substrings; and relationships between the terms. A query analysis analyzes the user query regarding the outputted terms and relationships, including ascertaining whether the user query is more suitable for service than for an information search. If it is so ascertained, then service actions for the user to perform are identified to the user. If it is not so ascertained, then: the user query is refined based on the outputted terms and relationships; a search query is generated based on the refined user query, a search is initiated based on the search query, and results of the search are provided to the user.Type: ApplicationFiled: April 30, 2012Publication date: August 2, 2018Applicant: International Business Machines CorporationInventors: Currie P. Boyle, Homa Javahery, Eniko I. Rozsa, Paul A. Yamamoto
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Patent number: 10037377Abstract: A system for implementing a method that provides information to a user in response to a received user query. A natural language analysis generates substrings relevant to the user query. An ontology analysis outputs: terms of an ontology matching the relevant generated substrings; and relationships between the terms. A query analysis analyzes the user query regarding the outputted terms and relationships, including ascertaining whether the user query is more suitable for service than for an information search. If it is so ascertained, then service actions for the user to perform are identified to the user. If it is not so ascertained, then: the user query is refined based on the outputted terms and relationships; a search query is generated based on the refined user query, a search is initiated based on the search query, and results of the search are provided to the user.Type: GrantFiled: April 30, 2012Date of Patent: July 31, 2018Assignee: International Business Machines CorporationInventors: Currie P. Boyle, Homa Javahery, Eniko I. Rozsa, Paul A. Yamamoto
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Patent number: 10019512Abstract: A method for providing information to a user in response to a received user query. A natural language analysis generates substrings relevant to the user query. An ontology analysis outputs: terms of an ontology matching the relevant generated substrings; and relationships between the terms. A query analysis analyzes the user query regarding the outputted terms and relationships, including ascertaining whether the user query is more suitable for service than for an information search. If it is so ascertained, then service actions for the user to perform are identified to the user. If it is not so ascertained, then: the user query is refined based on the outputted terms and relationships; a search query is generated based on the refined user query, a search is initiated based on the search query, and results of the search are provided to the user.Type: GrantFiled: April 30, 2012Date of Patent: July 10, 2018Assignee: International Business Machines CorporationInventors: Currie P. Boyle, Homa Javahery, Eniko I. Rozsa, Paul A. Yamamoto
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Publication number: 20170277660Abstract: Elements in source data statements are matched to respective one or more entries in an ontology associated with a domain that had been selected for the source data statements. The source data statements had been received for a request. The ontology includes items and relationships that define the selected domain. The one or more entries are assigned to the matched elements, respectively, to annotate each matched element with a respective annotation consisting of the respective one or more entries. The annotated elements are saved with the respective annotations. The annotations are used to generate a search query for the request.Type: ApplicationFiled: June 13, 2017Publication date: September 28, 2017Inventors: Currie P. Boyle, Homa Javahery, Eniko I. Rozsa
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Patent number: 9734130Abstract: Source data statements that had been received for the request are semantically analyzed, which includes matching elements in the received source data statements to respective one or more entries in an ontology associated with a domain that had been selected for the received source data statements. The ontology includes items and relationships that define the selected domain. Each element in the received source data statements is a word or a phrase. The one or more entries are assigned to the matched elements, respectively, to annotate each matched element with a respective annotation consisting of the respective one or more entries. The annotated elements are saved with the respective annotations. The annotations are used to generate a search query for the request.Type: GrantFiled: June 11, 2015Date of Patent: August 15, 2017Assignee: International Business Machines CorporationInventors: Currie P. Boyle, Homa Javahery, Eniko I. Rozsa
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Publication number: 20150286613Abstract: Source data statements that had been received for the request are semantically analyzed, which includes matching elements in the received source data statements to respective one or more entries in an ontology associated with a domain that had been selected for the received source data statements. The ontology includes items and relationships that define the selected domain. Each element in the received source data statements is a word or a phrase. The one or more entries are assigned to the matched elements, respectively, to annotate each matched element with a respective annotation consisting of the respective one or more entries. The annotated elements are saved with the respective annotations. The annotations are used to generate a search query for the request.Type: ApplicationFiled: June 11, 2015Publication date: October 8, 2015Inventors: Currie P. Boyle, Homa Javahery, Eniko I. Rozsa
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Patent number: 9141605Abstract: A method and system for semantic attribution of a request. Source data statements for the request are received. A selection of a domain for the received source data statements is received. The received source data statements are semantically analyzed, which includes matching elements in the received source data statements to respective one or more entries in an ontology associated with the selected domain. The ontology includes items and relationships that define the selected domain. Each element in the received source data statements is a word or a phrase. The one or more entries are assigned to the matched elements, respectively, to annotate each matched element with a respective annotation consisting of the respective one or more entries. The annotated elements are saved with the respective annotations. The annotations are used to generate a search query for the request.Type: GrantFiled: September 24, 2014Date of Patent: September 22, 2015Assignee: International Business Machines CorporationInventors: Currie P. Boyle, Homa Javahery, Eniko I. Rozsa
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Patent number: 9104660Abstract: A method, system, and computer program product for semantic attribution of a request. Source data statements for the request are received. A selection of a domain for the received source data statements is received. The received source data statements are semantically analyzed, which includes matching elements in the received source data statements to respective one or more entries in an ontology associated with the selected domain. The ontology includes items and relationships that define the selected domain. Each element in the received source data statements is a word or a phrase. The one or more entries are assigned to the matched elements, respectively, to annotate each matched element with a respective annotation consisting of the respective one or more entries. The annotated elements are saved with the respective annotations.Type: GrantFiled: November 30, 2012Date of Patent: August 11, 2015Assignee: International Business Machines CorporationInventors: Currie P. Boyle, Homa Javahery, Eniko I. Rozsa
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Publication number: 20150019209Abstract: A method and system for semantic attribution of a request. Source data statements for the request are received. A selection of a domain for the received source data statements is received. The received source data statements are semantically analyzed, which includes matching elements in the received source data statements to respective one or more entries in an ontology associated with the selected domain. The ontology includes items and relationships that define the selected domain. Each element in the received source data statements is a word or a phrase. The one or more entries are assigned to the matched elements, respectively, to annotate each matched element with a respective annotation consisting of the respective one or more entries. The annotated elements are saved with the respective annotations. The annotations are used to generate a search query for the request.Type: ApplicationFiled: September 24, 2014Publication date: January 15, 2015Inventors: Currie P. Boyle, Homa Javahery, Eniko I. Rozsa
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Publication number: 20130290366Abstract: A system for implementing a method that provides information to a user in response to a received user query. A natural language analysis generates substrings relevant to the user query. An ontology analysis outputs: terms of an ontology matching the relevant generated substrings; and relationships between the terms. A query analysis analyzes the user query regarding the outputted terms and relationships, including ascertaining whether the user query is more suitable for service than for an information search. If it is so ascertained, then service actions for the user to perform are identified to the user. If it is not so ascertained, then: the user query is refined based on the outputted terms and relationships; a search query is generated based on the refined user query, a search is initiated based on the search query, and results of the search are provided to the user.Type: ApplicationFiled: April 30, 2012Publication date: October 31, 2013Applicant: International Business Machines CorporationInventors: Currie P. Boyle, Homa Javahery, Eniko I. Rozsa, Paul A. Yamamoto
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Publication number: 20120303356Abstract: A method for providing information to a user in response to a received user query. A natural language analysis generates substrings relevant to the user query. An ontology analysis outputs: terms of an ontology matching the relevant generated substrings; and relationships between the terms. A query analysis analyzes the user query regarding the outputted terms and relationships, including ascertaining whether the user query is more suitable for service than for an information search. If it is so ascertained, then service actions for the user to perform are identified to the user. If it is not so ascertained, then: the user query is refined based on the outputted terms and relationships; a search query is generated based on the refined user query, a search is initiated based on the search query, and results of the search are provided to the user.Type: ApplicationFiled: April 30, 2012Publication date: November 29, 2012Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Currie P. Boyle, Homa Javahery, Eniko I. Rozsa, Paul A. Yamamoto