SEARCHING FOR INDIRECT ENTITIES USING A KNOWLEDGE GRAPH

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United States of America Patent

APP PUB NO 20250103651A1
SERIAL NO

18471873

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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Provided are techniques for searching for indirect entities using a knowledge graph. A search request for indirect entities for one or more project specific input documents is received. A knowledge graph is generated with entities and impacts in the one or more project specific input document and with entities and impacts in one or more general input documents. Embedding entities are generated for the entities in the knowledge graph, where each of the embedding entities has a corresponding vectorial representation that represents a position in an embedding space. Embedding entities are identified based on similarity values of the corresponding vectorial representations exceeding a similarity threshold. In response to identifying at least one new entity from the identified embedding entities not explicitly found in the one or more project specific input documents, the at least one new entity is returned as an indirect entity in a search result.

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Patent Owner(s)

Patent OwnerAddress
INTERNATIONAL BUSINESS MACHINES CORPORATIONNEW ORCHARD ROAD ARMONK NY 10504

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Adebiyi, Aminat San Jose, US 5 5
Baria, Alexis Thomas Whitefish Bay, US 1 0
Becerra, Sandoval Juana Catalina Stamford, US 1 0
Berger, Sara E Beaverton, US 6 6
Coates, Jessica LaChay White Plains, US 1 0
Figueredo, de Santana Vagner São Paulo, BR 33 91
Hobson, Stacy F Hopewell Junction, US 16 510
Horesh, Raya North Salem, US 43 365
Quigley, Lauren Red Oak, US 2 0

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