Conversational Ontology Alignment with ChatGPT
Sanaz Saki Norouzi Mohammad Saeid Mahdavinejad Pascal Hitzler
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.