Enhancing Entity Alignment Between Wikidata and ArtGraph Using LLMs

Published in International Joint Workshop on Semantic Web and Ontology Design for Cultural Heritage, 2023

Recommended citation: Lippolis, Anna Sofia et al. β€œEnhancing Entity Alignment Between Wikidata and ArtGraph Using LLMs.” International Joint Workshop on Semantic Web and Ontology Design for Cultural Heritage (2023).

This paper focuses on the Wikidata and A π‘Ÿπ‘‘ G π‘Ÿπ‘Žπ‘β„Ž KGs, which exhibit gaps in content that can be filled by enriching one with data from the other. Entity alignment can help to combine data from KGs by connecting entities that refer to the same real-world entities. However, entity alignment in art-domain knowledge graphs remains under-explored. In the pursuit of entity alignment between A π‘Ÿπ‘‘ G π‘Ÿπ‘Žπ‘β„Ž and Wikidata, a hybrid approach is proposed.

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Recommended citation: Lippolis, Anna Sofia et al. β€œEnhancing Entity Alignment Between Wikidata and ArtGraph Using LLMs.” International Joint Workshop on Semantic Web and Ontology Design for Cultural Heritage (2023).