Conversational Ontology Alignment with ChatGPT

2023/08/18 by Sanaz Saki Norouzi, Norouzi, Sanaz Saki, Mohammad Saeid Mahdavinejad +3 · 3 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling

paper · pdf · doi:10.48550/arxiv.2308.09217

openalex publication_date 2023/08/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

Cited by

• GenOM: Ontology Matching with Description Generation and Large Language Model
• Large Language Models as Oracles for Ontology Alignment
• KROMA: Ontology Matching with Knowledge Retrieval and Large Language Models

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