Patents by Inventor James H. Barnebee, IV
James H. Barnebee, IV 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: 10846485Abstract: A system, computer program product, and method are provided to automate a framework for knowledge graph based persistence of data, and to resolve temporal changes and uncertainties in the knowledge graph. Natural language understanding, together with one or more machine learning models (MLMs), is used to extract data from unstructured information, including entities and entity relationships. The extracted data is populated into a knowledge graph. As the KG is subject to change, the KG is used to create new and retrain existing machine learning models (MLMs). Weighting is applied to the populated data in the form of veracity value. Blockchain technology is applied to the populated data to ensure reliability of the data and to provide auditability to assess changes to the data.Type: GrantFiled: September 20, 2019Date of Patent: November 24, 2020Assignee: International Business Machines CorporationInventors: David Bacarella, James H. Barnebee, IV, Nicholas Lawrence, Sumit Patel
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Patent number: 10776586Abstract: A system, computer program product, and method are provided to automate a framework for knowledge graph based persistence of data, and to resolve temporal changes and uncertainties in the knowledge graph. Natural language understanding, together with one or more machine learning models (MLMs), is used to extract data from unstructured information, including entities and entity relationships. The extracted data is populated into a knowledge graph. As the KG is subject to change, the KG is used to create new and retrain existing machine learning models (MLMs). Weighting is applied to the populated data in the form of veracity value. Blockchain technology is applied to the populated data to ensure reliability of the data and to provide auditability to assess changes to the data.Type: GrantFiled: January 10, 2018Date of Patent: September 15, 2020Assignee: International Business Machines CorporationInventors: David Bacarella, James H. Barnebee, IV, Nicholas Lawrence, Sumit Patel
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Patent number: 10606958Abstract: A system, computer program product, and method are provided to automate a framework for knowledge graph based persistence of data, and to resolve temporal changes and uncertainties in the knowledge graph. Natural language understanding, together with one or more machine learning models (MLMs), is used to extract data from unstructured information, including entities and entity relationships. The extracted data is populated into a knowledge graph. As the KG is subject to change, the KG is used to create new and retrain existing machine learning models (MLMs). Weighting is applied to the populated data in the form of veracity value. Blockchain technology is applied to the populated data to ensure reliability of the data and to provide auditability to assess changes to the data.Type: GrantFiled: January 10, 2018Date of Patent: March 31, 2020Assignee: International Business Machines CorporationInventors: David Bacarella, James H. Barnebee, IV, Nicholas Lawrence, Sumit Patel
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Patent number: 10599780Abstract: A system, computer program product, and method are provided to automate a framework for knowledge graph based persistence of data, and to resolve temporal changes and uncertainties in the knowledge graph. Natural language understanding, together with one or more machine learning models (MLMs), is used to extract data and a data relationship from structured and/or unstructured data, create an entry in the KG and selectively store the extracted data and data relationship in the KG, assign a veracity value to the stored data, create an asset value entry in a corresponding BC ledger, and store a BC identifier with the KG entry.Type: GrantFiled: June 21, 2019Date of Patent: March 24, 2020Assignee: International Business Machines CorporationInventors: David Bacarella, James H. Barnebee, IV, Nicholas Lawrence, Sumit Patel
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Publication number: 20200019613Abstract: A system, computer program product, and method are provided to automate a framework for knowledge graph based persistence of data, and to resolve temporal changes and uncertainties in the knowledge graph. Natural language understanding, together with one or more machine learning models (MLMs), is used to extract data from unstructured information, including entities and entity relationships. The extracted data is populated into a knowledge graph. As the KG is subject to change, the KG is used to create new and retrain existing machine learning models (MLMs). Weighting is applied to the populated data in the form of veracity value. Blockchain technology is applied to the populated data to ensure reliability of the data and to provide auditability to assess changes to the data.Type: ApplicationFiled: September 20, 2019Publication date: January 16, 2020Applicant: International Business Machines CorporationInventors: David Bacarella, James H. Barnebee, IV, Nicholas Lawrence, Sumit Patel
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Publication number: 20190303441Abstract: A system, computer program product, and method are provided to automate a framework for knowledge graph based persistence of data, and to resolve temporal changes and uncertainties in the knowledge graph. Natural language understanding, together with one or more machine learning models (MLMs), is used to extract data and a data relationship from structured and/or unstructured data, create an entry in the KG and selectively store the extracted data and data relationship in the KG, assign a veracity value to the stored data, create an asset value entry in a corresponding BC ledger, and store a BC identifier with the KG entry.Type: ApplicationFiled: June 21, 2019Publication date: October 3, 2019Applicant: International Business Machines CorporationInventors: David Bacarella, James H. Barnebee, IV, Nicholas Lawrence, Sumit Patel
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Patent number: 10423726Abstract: A system, computer program product, and method are provided to automate a framework for knowledge graph based persistence of data, and to resolve temporal changes and uncertainties in the knowledge graph. Natural language understanding, together with one or more machine learning models (MLMs), is used to extract data from unstructured information, including entities and entity relationships. The extracted data is populated into a knowledge graph. As the KG is subject to change, the KG is used to create new and retrain existing machine learning models (MLMs). Weighting is applied to the populated data in the form of veracity value. Blockchain technology is applied to the populated data to ensure reliability of the data and to provide auditability to assess changes to the data.Type: GrantFiled: January 10, 2018Date of Patent: September 24, 2019Assignee: International Business Machines CorporationInventors: David Bacarella, James H. Barnebee, IV, Nicholas Lawrence, Sumit Patel
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Publication number: 20190213258Abstract: A system, computer program product, and method are provided to automate a framework for knowledge graph based persistence of data, and to resolve temporal changes and uncertainties in the knowledge graph. Natural language understanding, together with one or more machine learning models (MLMs), is used to extract data from unstructured information, including entities and entity relationships. The extracted data is populated into a knowledge graph. As the KG is subject to change, the KG is used to create new and retrain existing machine learning models (MLMs). Weighting is applied to the populated data in the form of veracity value. Blockchain technology is applied to the populated data to ensure reliability of the data and to provide auditability to assess changes to the data.Type: ApplicationFiled: January 10, 2018Publication date: July 11, 2019Applicant: International Business Machines CorporationInventors: David Bacarella, James H. Barnebee, IV, Nicholas Lawrence, Sumit Patel
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Publication number: 20190213259Abstract: A system, computer program product, and method are provided to automate a framework for knowledge graph based persistence of data, and to resolve temporal changes and uncertainties in the knowledge graph. Natural language understanding, together with one or more machine learning models (MLMs), is used to extract data from unstructured information, including entities and entity relationships. The extracted data is populated into a knowledge graph. As the KG is subject to change, the KG is used to create new and retrain existing machine learning models (MLMs). Weighting is applied to the populated data in the form of veracity value. Blockchain technology is applied to the populated data to ensure reliability of the data and to provide auditability to assess changes to the data.Type: ApplicationFiled: January 10, 2018Publication date: July 11, 2019Applicant: International Business Machines CorporationInventors: David Bacarella, James H. Barnebee, IV, Nicholas Lawrence, Sumit Patel
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Publication number: 20190213260Abstract: A system, computer program product, and method are provided to automate a framework for knowledge graph based persistence of data, and to resolve temporal changes and uncertainties in the knowledge graph. Natural language understanding, together with one or more machine learning models (MLMs), is used to extract data from unstructured information, including entities and entity relationships. The extracted data is populated into a knowledge graph. As the KG is subject to change, the KG is used to create new and retrain existing machine learning models (MLMs). Weighting is applied to the populated data in the form of veracity value. Blockchain technology is applied to the populated data to ensure reliability of the data and to provide auditability to assess changes to the data.Type: ApplicationFiled: January 10, 2018Publication date: July 11, 2019Applicant: International Business Machines CorporationInventors: David Bacarella, James H. Barnebee, IV, Nicholas Lawrence, Sumit Patel