A retrieve-identify-prompt pipeline plus prioritized depth-first search achieves state-of-the-art F-Measure on most OAEI 2024 tasks while sending only uncertain matches to an LLM.
Conversational Ontology Alignment with ChatGPT
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abstract
This study evaluates the applicability and efficiency of ChatGPT for ontology alignment using a naive approach. ChatGPT's output is compared to the results of the Ontology Alignment Evaluation Initiative 2022 campaign using conference track ontologies. This comparison is intended to provide insights into the capabilities of a conversational large language model when used in a naive way for ontology matching, and to investigate the potential advantages and disadvantages of this approach.
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Ontology Matching with Large Language Models and Prioritized Depth-First Search
A retrieve-identify-prompt pipeline plus prioritized depth-first search achieves state-of-the-art F-Measure on most OAEI 2024 tasks while sending only uncertain matches to an LLM.