%0 Generic %1 he2023exploring %A He, Yuan %A Chen, Jiaoyan %A Dong, Hang %A Horrocks, Ian %D 2023 %K biomedical llm myown oaei ontologies ontology-alignment ontology_mapping snomedct %T Exploring Large Language Models for Ontology Alignment %U http://arxiv.org/abs/2309.07172 %X 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-shot performance of Flan-T5-XXL and GPT-3.5-turbo, we leverage challenging subsets from two equivalence matching datasets of the OAEI Bio-ML track, taking into account concept labels and structural contexts. Preliminary findings suggest that LLMs have the potential to outperform existing ontology alignment systems like BERTMap, given careful framework and prompt design.

@misc{he2023exploring, abstract = {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-shot performance of Flan-T5-XXL and GPT-3.5-turbo, we leverage challenging subsets from two equivalence matching datasets of the OAEI Bio-ML track, taking into account concept labels and structural contexts. Preliminary findings suggest that LLMs have the potential to outperform existing ontology alignment systems like BERTMap, given careful framework and prompt design.}, added-at = {2023-09-22T12:57:44.000+0200}, author = {He, Yuan and Chen, Jiaoyan and Dong, Hang and Horrocks, Ian}, biburl = {https://www.bibsonomy.org/bibtex/212e3d21359e06e16093de53b7dbf3d92/hangdong}, description = {[2309.07172] Exploring Large Language Models for Ontology Alignment}, interhash = {5c0dff2be74f5098808466708dceba3a}, intrahash = {12e3d21359e06e16093de53b7dbf3d92}, keywords = {biomedical llm myown oaei ontologies ontology-alignment ontology_mapping snomedct}, note = {cite arxiv:2309.07172Comment: Accepted at ISWC 2023 (Posters and Demos)}, timestamp = {2023-09-22T12:57:44.000+0200}, title = {Exploring Large Language Models for Ontology Alignment}, url = {http://arxiv.org/abs/2309.07172}, year = 2023 }