Exploring large language models for ontology alignment

Exploring large language models for ontology alignment

This work investigates the applicability of recent generative Large Language Models (LLMs), such as the GPT series and Flan-T5, to ontology alignment for identifying concept equivalence mappings across ontologies. To test the zero-shot1 performance of Flan-T5-XXL and GPT-3.5-turbo, we leverage chall...

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Dettagli Bibliografici
Autori principali:	He, Y, Chen, J, Dong, H, Horrocks, I
Natura:	Conference item
Lingua:	English
Pubblicazione:	CEUR Workshop Proceedings 2023

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