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A Study of Concept Similarity in Wikidata

What is it about?

Knowledge graphs contain both entity- and concept-level information, which can be leveraged to derive similarity scores between any two concepts. This paper studies the potential of different methods for deriving similarity scores for the Wikidata knowledge graph.

Why is it important?

This paper informs researchers and practitioners about the effectiveness of different similarity estimation methods, the impact of retrofitting using external knowledge, and the promise of various external sources for augmentation.

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The following have contributed to this page:
Filip Ilievski
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