Patents by Inventor Vladimir V. Gvozdev
Vladimir V. Gvozdev 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: 11709878Abstract: Examples described herein generally relate to a computer system for generating a knowledge graph storing a plurality of entities and to displaying a topic page for an entity in the knowledge graph. The computer system performs a mining of source documents within an enterprise intranet to determine a plurality of entity names. The computer system generates an entity record within the knowledge graph for a mined entity name based on an entity schema and the source documents. The entity record includes attributes aggregated from the source documents. The computer system receives a curation action on the entity record from a first user. The computer system updates the entity record based on the curation action. The computer system displays an entity page including at least a portion of the attributes to a second user based on permissions of the second user to view the source documents.Type: GrantFiled: October 14, 2019Date of Patent: July 25, 2023Assignee: Microsoft Technology Licensing, LLCInventors: Dmitriy Meyerzon, Jeffrey Wight, Andrei Razvan Popov, Andrei-Alin Corodescu, Omar Faruk, Jan-Ove Karlberg, Åge Andre Kvalnes, Helge Grenager Solheim, Thuy Duong, Simon Thoresen Hult, Ivan Korostelev, Matteo Venanzi, John Guiver, John Michael Winn, Vladimir V. Gvozdev, Nikita Voronkov, Chia-Jiun Tan, Alexander Armin Spengler
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Patent number: 11573967Abstract: Examples described herein generally relate to a computer system including a knowledge graph storing a plurality of entities. A mining of a set of enterprise source documents within an enterprise intranet is performed, by a plurality of knowledge mining toolkits, to determine a plurality of entity names. The plurality of entity names are linked based on entity metadata by traversing various relationships between people, files, sites, groups, associated with entities. An entity record is generated within a knowledge graph for a mined entity name from the linked entity names based on an entity schema and ones of the set of enterprise source documents associated with the mined entity name. The entity record includes attributes aggregated from the ones of the set of enterprise source documents associated with the mined entity name.Type: GrantFiled: July 20, 2020Date of Patent: February 7, 2023Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Dmitriy Meyerzon, Omar Zia Khan, Hui Li, Vladimir V. Gvozdev, John M. Winn, John Guiver, Ivan Korostelev, Matteo Venanzi, Alexander Armin Spengler, Pavel Myshkov, Elena Pochernina, Martin Kukla, Yordan Kirilov Zaykov
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Publication number: 20220342871Abstract: Examples of the present disclosure describe systems and methods for cross-provider topic conflation. In aspects, a request relating to one or more topics may be received by a content surfacing platform. One or more data sources of multiple content providers may be searched for documents relating to the topic(s). Document content (e.g., document metadata and sentences, phrases, and other word content within the document) relating to the topic(s) may be extracted from the documents of the various content providers. The document content may be classified and/or separated into subparts. The subparts may be clustered and/or conflated by topic, thereby removing duplicated data while preserving the unique information in each subpart. The conflated topics may be stored in a single knowledge base, such as an enterprise knowledge graph, and/or presented in response to the request.Type: ApplicationFiled: April 27, 2021Publication date: October 27, 2022Applicant: Microsoft Technology Licensing, LLCInventors: Matteo VENANZI, John M. WINN, Ivan KOROSTELEV, Elena POCHERNINA, Samuel WEBSTER, Pavel MYSHKOV, Yordan ZAYKOV, Dmitriy MEYERZON, Vladimir V. GVOZDEV, Nikita VORONKOV, Alexander A. SPENGLER
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Publication number: 20220019579Abstract: Examples described herein generally relate to a computer system including a knowledge graph storing a plurality of entities. A mining of a set of enterprise source documents within an enterprise intranet is performed, by a plurality of knowledge mining toolkits, to determine a plurality of entity names. The plurality of entity names are linked based on entity metadata by traversing various relationships between people, files, sites, groups, associated with entities. An entity record is generated within a knowledge graph for a mined entity name from the linked entity names based on an entity schema and ones of the set of enterprise source documents associated with the mined entity name. The entity record includes attributes aggregated from the ones of the set of enterprise source documents associated with the mined entity name.Type: ApplicationFiled: July 20, 2020Publication date: January 20, 2022Inventors: Dmitriy MEYERZON, Omar Zia KHAN, Hui LI, Vladimir V. GVOZDEV, John M. WINN, John GUIVER, Ivan KOROSTELEV, Matteo VENANZI, Alexander Armin SPENGLER, Pavel MYSHKOV, Elena POCHERNINA, Martin KUKLA, Yordan Kirilov ZAYKOV
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Patent number: 11194840Abstract: Examples described herein generally relate to a computer system including a knowledge graph storing a plurality of entities. The computer system compares source documents within an enterprise intranet to a plurality of templates defining potential entity attributes to identify extracts matching at least one of the plurality of templates. The computer system parses the extracts according to respective templates of the plurality of templates that match the extracts to determine instances. The computer system performs incremental clustering on a number of the instances to determine potential entity names. The computer system queries the knowledge graph with the potential entity names to obtain a set of candidate entity records. The computer system links the potential entity names with at least partial matching ones of the set of candidate entity records to define updated matching candidate entity records. The computer system updates the knowledge graph with the updated matching candidate entity records.Type: GrantFiled: October 14, 2019Date of Patent: December 7, 2021Assignee: Microsoft Technology Licensing, LLCInventors: Dmitriy Meyerzon, Jeffrey L. Wight, Nikita Voronkov, Vladimir V. Gvozdev, John Michael Winn, John Guiver, Ivan Korostelev, Matteo Venanzi, Alexander Armin Spengler
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Publication number: 20210110278Abstract: Examples described herein generally relate to a computer system for generating a knowledge graph storing a plurality of entities and to displaying a topic page for an entity in the knowledge graph. The computer system performs a mining of source documents within an enterprise intranet to determine a plurality of entity names. The computer system generates an entity record within the knowledge graph for a mined entity name based on an entity schema and the source documents. The entity record includes attributes aggregated from the source documents. The computer system receives a curation action on the entity record from a first user. The computer system updates the entity record based on the curation action. The computer system displays an entity page including at least a portion of the attributes to a second user based on permissions of the second user to view the source documents.Type: ApplicationFiled: October 14, 2019Publication date: April 15, 2021Inventors: Dmitriy MEYERZON, Jeffrey WIGHT, Andrei Razvan POPOV, Andrei-Alin CORODESCU, Omar FARUK, Jan-Ove KARLBERG, Åge Andre KVALNES, Helge Grenager SOLHEIM, Thuy DUONG, Simon Thoresen HULT, Ivan KOROSTELEV, Matteo VENANZI, John GUIVER, John Michael WINN, Vladimir V. GVOZDEV, Nikita VORONKOV, Chia-Jiun TAN, Alexander Armin SPENGLER
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Publication number: 20210109952Abstract: Examples described herein generally relate to a computer system including a knowledge graph storing a plurality of entities. The computer system compares source documents within an enterprise intranet to a plurality of templates defining potential entity attributes to identify extracts matching at least one of the plurality of templates. The computer system parses the extracts according to respective templates of the plurality of templates that match the extracts to determine instances. The computer system performs incremental clustering on a number of the instances to determine potential entity names. The computer system queries the knowledge graph with the potential entity names to obtain a set of candidate entity records. The computer system links the potential entity names with at least partial matching ones of the set of candidate entity records to define updated matching candidate entity records. The computer system updates the knowledge graph with the updated matching candidate entity records.Type: ApplicationFiled: October 14, 2019Publication date: April 15, 2021Inventors: Dmitriy MEYERZON, Jeffrey L. Wight, Nikita Voronkov, Vladimir V. Gvozdev, John Michael Winn, John Guiver, Ivan Korostelev, Matteo Venanzi, Alexander Armin Spengler