ENTERPRISE KNOWLEDGE GRAPH BUILDING WITH MINED TOPICS AND RELATIONSHIPS

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 using singular value decomposition (SVD) to determine a plurality of entity names....

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Bibliographic Details
Main Authors LI, Hui, LI, Bing, XU, Wenjin, MEYERZON, Dmitriy, HE, Yujie
Format Patent
LanguageEnglish
French
German
Published 24.05.2023
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary: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 using singular value decomposition (SVD) to determine a plurality of entity names. Using SVD, relevant and trending entity names are accumulated, aggregated, and ranked. 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.
Bibliography:Application Number: EP20210729075