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...
| 主要な著者: | , , , |
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| フォーマット: | Conference item |
| 言語: | English |
| 出版事項: |
CEUR Workshop Proceedings
2023
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