Conversational Ontology Alignment with ChatGPT
This addresses ontology matching for AI and data integration researchers, but it is incremental as it evaluates an existing method (ChatGPT) on a new task without novel methodology.
The study tackled ontology alignment by applying ChatGPT in a naive way and compared its performance to the Ontology Alignment Evaluation Initiative 2022 results, finding insights into the model's capabilities and trade-offs without specifying concrete numerical outcomes.
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.