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Thinking Fast, Thinking Slow! Combining Knowledge Graphs ...

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Thinking fast , Thinking slow ! Combining Knowledge Graphsand Vector of Maryland, BaltimoreCounty1000 Hilltop Cir, Baltimore, Maryland,USA, 21250Anupam of Maryland, BaltimoreCounty1000 Hilltop Cir, Baltimore, Maryland,USA, 21250Tim of Maryland, BaltimoreCounty1000 Hilltop Cir, Baltimore, Maryland,USA, 21250ABSTRACTKnowledge Graphs and vector space models are both robust knowl-edge representation techniques with their individual strengths andweaknesses. Vector space models excel at determining similaritybetween concepts, but they are severely constrained when evaluat-ing complex dependency relations and other logic based operationsthat are a forte of Knowledge Graphs . In this paper, we proposetheV-KG structurethat helps us unify Knowledge Graphs and vec-tor representation of entities, and allows us to develop powerfulinference methods and search capabilities that combine their com-plementary strengths.

Thinking Fast, Thinking Slow! Combining Knowledge Graphs and Vector Spaces. Sudip Mittal smittal1@umbc.edu University of Maryland, Baltimore County

  Thinking, Knowledge, Fast, Graph, Combining, Slow, Thinking fast, Thinking slow, Combining knowledge graphs

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