GEOMETRIC REPRESENTATION FOR RULE INDUCTION FROM KNOWLEDGE GRAPHS

In a method for deriving existential rules from knowledge graph data, a processor represents a knowledge graph using a geometric embedding. A processor transforms the geometric embedding to a syllogism logic representation using a geometric relationship. And a processor derives existential rules usi...

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Bibliographic Details
Main Authors Karanam, Hima Prasad, Grover, Ankita Likhyani, Mohamed, Shajith Ikbal, Subramaniam, L. Venkata
Format Patent
LanguageEnglish
Published 22.12.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Summary:In a method for deriving existential rules from knowledge graph data, a processor represents a knowledge graph using a geometric embedding. A processor transforms the geometric embedding to a syllogism logic representation using a geometric relationship. And a processor derives existential rules using standard transformation rules present in the syllogism logic representation.
Bibliography:Application Number: US202117350227