Patents by Inventor William Scott Mark
William Scott Mark 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: 11100065Abstract: A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.Type: GrantFiled: October 19, 2018Date of Patent: August 24, 2021Assignee: SALESFORCE.COM, INC.Inventors: Thierry Donneau-Golencer, Rajan Singh, Madhu Yarlagadda, Corey Hulen, Kenneth C. Nitz, William Scott Mark
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Patent number: 11093467Abstract: A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.Type: GrantFiled: October 19, 2018Date of Patent: August 17, 2021Assignee: SALESFORCE.COM, INC.Inventors: Thierry Donneau-Golencer, Rajan Singh, Madhu Yarlagadda, Corey Hulen, Kenneth C. Nitz, William Scott Mark
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Publication number: 20190050432Abstract: A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.Type: ApplicationFiled: October 19, 2018Publication date: February 14, 2019Applicant: salesforce.com, inc.Inventors: Thierry DONNEAU-GOLENCER, Rajan Singh, Madhu Yarlagadda, Corey Hulen, Kenneth C. Nitz, William Scott Mark
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Publication number: 20190050433Abstract: A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.Type: ApplicationFiled: October 19, 2018Publication date: February 14, 2019Applicant: salesforce.com, inc.Inventors: Thierry Donneau-Golencer, Rajan Singh, Madhu Yarlagadda, Corey Hulen, Kenneth C. Nitz, William Scott Mark
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Patent number: 10140322Abstract: A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.Type: GrantFiled: August 11, 2016Date of Patent: November 27, 2018Assignee: SALESFORCE.COM, INC.Inventors: Thierry Donneau-Golencer, Rajan Singh, Madhu Yarlagadda, Corey Hulen, Kenneth C. Nitz, William Scott Mark
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Patent number: 9792356Abstract: A machine-implemented method for supporting a natural language user request against a user's personal data cloud can include a machine receiving the natural language user request from the user, determining a semantic interpretation of the natural language user request, querying a semantically-indexed, integrated knowledge store based on the semantic interpretation, and responding to the natural language user request by displaying results of the querying, wherein the results correspond to an item within the user's personal data cloud.Type: GrantFiled: September 7, 2016Date of Patent: October 17, 2017Assignee: SALESFORCE.COM, INC.Inventors: Rajan Singh, Thierry Donneau-Golencer, Corey Hulen, William Scott Mark
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Publication number: 20160378854Abstract: A machine-implemented method for supporting a natural language user request against a user's personal data cloud can include a machine receiving the natural language user request from the user, determining a semantic interpretation of the natural language user request, querying a semantically-indexed, integrated knowledge store based on the semantic interpretation, and responding to the natural language user request by displaying results of the querying, wherein the results correspond to an item within the user's personal data cloud.Type: ApplicationFiled: September 7, 2016Publication date: December 29, 2016Applicant: salesforce.com, inc.Inventors: Rajan SINGH, Thierry DONNEAU-GOLENCER, Corey HULEN, William Scott MARK
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Publication number: 20160350342Abstract: A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.Type: ApplicationFiled: August 11, 2016Publication date: December 1, 2016Applicant: salesforce.com, inc.Inventors: Thierry DONNEAU-GOLENCER, Rajan Singh, Madhu Yarlagadda, Corey Hulen, Kenneth C. Nitz, William Scott Mark
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Patent number: 9471666Abstract: A machine-implemented method for supporting a natural language user request against a user's personal data cloud can include a machine receiving the natural language user request from the user, determining a semantic interpretation of the natural language user request, querying a semantically-indexed, integrated knowledge store based on the semantic interpretation, and responding to the natural language user request by displaying results of the querying, wherein the results correspond to an item within the user's personal data cloud.Type: GrantFiled: January 18, 2012Date of Patent: October 18, 2016Assignee: SALESFORCE.COM, INC.Inventors: Rajan Singh, Thierry Donneau-Golencer, Corey Hulen, William Scott Mark
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Patent number: 9443007Abstract: A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.Type: GrantFiled: November 2, 2011Date of Patent: September 13, 2016Assignee: salesforce.com, inc.Inventors: Thierry Donneau-Golencer, Rajan Singh, Madhu Yarlagadda, Corey Hulen, Kenneth C. Nitz, William Scott Mark
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Patent number: 8918431Abstract: A computing system has a user interface allowing a user to view and input data related to concepts in a knowledge area associated with the user, an observation sub-system to centralize data and to identify a plurality of knowledge concepts, a conceptualization sub-system to generate a plurality of nodes within an ontological mapping, wherein each of the nodes corresponds to a certain one of the plurality of identified knowledge concepts identified by the observation sub-system, a relationship identification sub-system to create relationships between at least some of the plurality of identified knowledge concepts, and attribute affinity weights to the relationships, a change refinement sub-system to modify at least one of the plurality of nodes, affinity weights and relationships based upon information associated with the user, and a non-transitory knowledge store to store the information associated with the user pertaining to a sub-plurality of the plurality of identified knowledge concepts.Type: GrantFiled: September 9, 2011Date of Patent: December 23, 2014Assignee: SRI InternationalInventors: William Scott Mark, Thierry Donneau-Golencer, Madhu Yarlagadda
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Publication number: 20140258339Abstract: A machine-implemented method for supporting a natural language user request against a user's personal data cloud can include a machine receiving the natural language user request from the user, determining a semantic interpretation of the natural language user request, querying a semantically-indexed, integrated knowledge store based on the semantic interpretation, and responding to the natural language user request by displaying results of the querying, wherein the results correspond to an item within the user's personal data cloud.Type: ApplicationFiled: January 18, 2012Publication date: September 11, 2014Applicant: SRI INTERNATIONALInventors: Rajan Singh, Thierry Donneau-Golencer, Corey Hulen, William Scott Mark
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Publication number: 20130185336Abstract: A machine-implemented method for supporting a natural language user request against a user's personal data cloud can include a machine receiving the natural language user request from the user, determining a semantic interpretation of the natural language user request, querying a semantically-indexed, integrated knowledge store based on the semantic interpretation, and responding to the natural language user request by displaying results of the querying, wherein the results correspond to an item within the user's personal data cloud.Type: ApplicationFiled: January 18, 2012Publication date: July 18, 2013Applicant: SRI INTERNATIONALInventors: Rajan Singh, Thierry Donneau-Golencer, Corey Hulen, William Scott Mark
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Publication number: 20130110842Abstract: A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.Type: ApplicationFiled: November 2, 2011Publication date: May 2, 2013Applicant: SRI INTERNATIONALInventors: Thierry Donneau-Golencer, Rajan Singh, Madhu Yarlagadda, Corey Hulen, Kenneth C. Nitz, William Scott Mark
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Publication number: 20130066921Abstract: A computing system has a user interface allowing a user to view and input data related to concepts in a knowledge area associated with the user, an observation sub-system to centralize data and to identify a plurality of knowledge concepts, a conceptualization sub-system to generate a plurality of nodes within an ontological mapping, wherein each of the nodes corresponds to a certain one of the plurality of identified knowledge concepts identified by the observation sub-system, a relationship identification sub-system to create relationships between at least some of the plurality of identified knowledge concepts, and attribute affinity weights to the relationships, a change refinement sub-system to modify at least one of the plurality of nodes, affinity weights and relationships based upon information associated with the user, and a non-transitory knowledge store to store the information associated with the user pertaining to a sub-plurality of the plurality of identified knowledge concepts.Type: ApplicationFiled: September 9, 2011Publication date: March 14, 2013Applicant: SRI INTERNATIONALInventors: William Scott Mark, Thierry Donneau-Golencer, Madhu Yarlagadda