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. βEnhancing Entity Alignment Between Wikidata and ArtGraph Using LLMs.β International Joint Workshop on Semantic Web and Ontology Design for Cultural Heritage (2023).
This paper focuses on the Wikidata and A ππ‘ G πππβ 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 ππ‘ G πππβ and Wikidata, a hybrid approach is proposed.
Recommended citation: Lippolis, Anna Sofia et al. βEnhancing Entity Alignment Between Wikidata and ArtGraph Using LLMs.β International Joint Workshop on Semantic Web and Ontology Design for Cultural Heritage (2023).
