Patents by Inventor Larry CROCHET
Larry CROCHET 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: 11763175Abstract: A method and system for analyzing a corpus of data artifacts is disclosed. The method comprises obtaining, by a computer, a semantic representation of the data artifacts, where the semantic representation indicates (1) entities identified in the data artifacts, and (2) semantic relationships among the entities as indicated by the data artifacts. The method further comprises clustering the data artifacts into clusters of semantically related data artifacts based on the semantic representation and inferring additional semantic relationships between pairs of the entities. The inferring comprises applying, on a cluster-by-cluster basis, a multi-tiered network of inference engines to a portion of the semantic representation corresponding to the cluster, where the multi-tiered network of inference engines includes a domain-independent inference tier and a domain-specific inference tier.Type: GrantFiled: September 3, 2019Date of Patent: September 19, 2023Assignee: ORBIS TECHNOLOGIES, INC.Inventors: Sameer Joshi, Todd Pehle, Larry Crochet
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Publication number: 20200019869Abstract: A method and system for analyzing a corpus of data artifacts is disclosed. The method comprises obtaining, by a computer, a semantic representation of the data artifacts, where the semantic representation indicates (1) entities identified in the data artifacts, and (2) semantic relationships among the entities as indicated by the data artifacts. The method further comprises clustering the data artifacts into clusters of semantically related data artifacts based on the semantic representation and inferring additional semantic relationships between pairs of the entities. The inferring comprises applying, on a cluster-by-cluster basis, a multi-tiered network of inference engines to a portion of the semantic representation corresponding to the cluster, where the multi-tiered network of inference engines includes a domain-independent inference tier and a domain-specific inference tier.Type: ApplicationFiled: September 3, 2019Publication date: January 16, 2020Inventors: Sameer JOSHI, Todd PEHLE, Larry CROCHET
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Patent number: 10423881Abstract: A method and system for analyzing a corpus of data artifacts is disclosed. The method comprises obtaining, by a computer, a semantic representation of the data artifacts, where the semantic representation indicates (1) entities identified in the data artifacts, and (2) semantic relationships among the entities as indicated by the data artifacts. The method further comprises clustering the data artifacts into clusters of semantically related data artifacts based on the semantic representation and inferring additional semantic relationships between pairs of the entities. The inferring comprises applying, on a cluster-by-cluster basis, a multi-tiered network of inference engines to a portion of the semantic representation corresponding to the cluster, where the multi-tiered network of inference engines includes a domain-independent inference tier and a domain-specific inference tier.Type: GrantFiled: April 20, 2015Date of Patent: September 24, 2019Assignee: ORBIS TECHNOLOGIES, INC.Inventors: Sameer Joshi, Todd Pehle, Larry Crochet
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Patent number: 9489350Abstract: Methods and systems for searching over large (i.e., Internet scale) data to discover relevant information artifacts based on similar content and/or relationships are disclosed. Improvements over simple keyword and phrase based searching over internet scale data are shown. Search engines providing accurate and contextually relevant search results are disclosed. Users are enabled to identify related documents and information artifacts and quickly, ascertain, via visualization, which of these documents are original, which are derived (or copied) from a source document or information artifact, and which subset is independently generated (i.e., an original document or information artifact).Type: GrantFiled: April 29, 2011Date of Patent: November 8, 2016Assignee: ORBIS TECHNOLOGIES, INC.Inventors: Larry Crochet, Michael Niv
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Publication number: 20150227839Abstract: A method and system for analyzing a corpus of data artifacts is disclosed. The method comprises obtaining, by a computer, a semantic representation of the data artifacts, where the semantic representation indicates (1) entities identified in the data artifacts, and (2) semantic relationships among the entities as indicated by the data artifacts. The method further comprises clustering the data artifacts into clusters of semantically related data artifacts based on the semantic representation and inferring additional semantic relationships between pairs of the entities. The inferring comprises applying, on a cluster-by-cluster basis, a multi-tiered network of inference engines to a portion of the semantic representation corresponding to the cluster, where the multi-tiered network of inference engines includes a domain-independent inference tier and a domain-specific inference tier.Type: ApplicationFiled: April 20, 2015Publication date: August 13, 2015Applicant: ORBIS TECHNOLOGIES, INC.Inventors: Sameer JOSHI, Todd PEHLE, Larry CROCHET
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Patent number: 9015080Abstract: A method and system for analyzing a corpus of data artifacts is disclosed. The method comprises obtaining, by a computer, a semantic representation of the data artifacts, where the semantic representation indicates (1) entities identified in the data artifacts, and (2) semantic relationships among the entities as indicated by the data artifacts. The method further comprises clustering the data artifacts into clusters of semantically related data artifacts based on the semantic representation and inferring additional semantic relationships between pairs of the entities. The inferring comprises applying, on a cluster-by-cluster basis, a multi-tiered network of inference engines to a portion of the semantic representation corresponding to the cluster, where the multi-tiered network of inference engines includes a domain-independent inference tier and a domain-specific inference tier.Type: GrantFiled: March 16, 2012Date of Patent: April 21, 2015Assignee: Orbis Technologies, Inc.Inventors: Sameer Joshi, Todd Pehle, Larry Crochet
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Patent number: 8725771Abstract: Methods and systems for searching over large (i.e., Internet scale) data to discover relevant information artifacts based on similar content and/or relationships are disclosed. Improvements over simple keyword and phrase based searching over internet scale data are shown. Search engines providing accurate and contextually relevant search results are disclosed. Users are enabled to identify related documents and information artifacts and quickly, ascertain, via visualization, which of these documents are original, which are derived (or copied) from a source document or information artifact, and which subset is independently generated (i.e., an original document or information artifact).Type: GrantFiled: April 29, 2011Date of Patent: May 13, 2014Assignee: Orbis Technologies, Inc.Inventors: Larry Crochet, Michael Niv
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Publication number: 20130246315Abstract: A method and system for analyzing a corpus of data artifacts is disclosed. The method comprises obtaining, by a computer, a semantic representation of the data artifacts, where the semantic representation indicates (1) entities identified in the data artifacts, and (2) semantic relationships among the entities as indicated by the data artifacts. The method further comprises clustering the data artifacts into clusters of semantically related data artifacts based on the semantic representation and inferring additional semantic relationships between pairs of the entities. The inferring comprises applying, on a cluster-by-cluster basis, a multi-tiered network of inference engines to a portion of the semantic representation corresponding to the cluster, where the multi-tiered network of inference engines includes a domain-independent inference tier and a domain-specific inference tier.Type: ApplicationFiled: March 16, 2012Publication date: September 19, 2013Applicant: ORBIS TECHNOLOGIES, INC.Inventors: Sameer Joshi, Todd Pehle, Larry Crochet
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Publication number: 20110271232Abstract: Methods and systems for searching over large (i.e., Internet scale) data to discover relevant information artifacts based on similar content and/or relationships are disclosed. Improvements over simple keyword and phrase based searching over internet scale data are shown. Search engines providing accurate and contextually relevant search results are disclosed. Users are enabled to identify related documents and information artifacts and quickly, ascertain, via visualization, which of these documents are original, which are derived (or copied) from a source document or information artifact, and which subset is independently generated (i.e., an original document or information artifact).Type: ApplicationFiled: April 29, 2011Publication date: November 3, 2011Applicant: ORBIS TECHNOLOGIES, INC.Inventors: Larry CROCHET, Michael NIV
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Publication number: 20110270606Abstract: Methods and systems for searching over large (i.e., Internet scale) data to discover relevant information artifacts based on similar content and/or relationships are disclosed. Improvements over simple keyword and phrase based searching over internet scale data are shown. Search engines providing accurate and contextually relevant search results are disclosed. Users are enabled to identify related documents and information artifacts and quickly, ascertain, via visualization, which of these documents are original, which are derived (or copied) from a source document or information artifact, and which subset is independently generated (i.e., an original document or information artifact).Type: ApplicationFiled: April 29, 2011Publication date: November 3, 2011Applicant: ORBIS TECHNOLOGIES, INC.Inventors: Larry CROCHET, Michael NIV
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Publication number: 20110270888Abstract: Methods and systems for searching over large (i.e., Internet scale) data to discover relevant information artifacts based on similar content and/or relationships are disclosed. Improvements over simple keyword and phrase based searching over internet scale data are shown. Search engines providing accurate and contextually relevant search results are disclosed. Users are enabled to identify related documents and information artifacts and quickly, ascertain, via visualization, which of these documents are original, which are derived (or copied) from a source document or information artifact, and which subset is independently generated (i.e., an original document or information artifact).Type: ApplicationFiled: April 29, 2011Publication date: November 3, 2011Applicant: ORBIS TECHNOLOGIES, INC.Inventors: Larry CROCHET, Michael NIV