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.

翻译：本研究评估了ChatGPT在朴素方法下进行本体对齐的适用性和效率。通过将ChatGPT的输出与2022年本体对齐评估倡议（Ontology Alignment Evaluation Initiative 2022）活动中使用的会议跟踪本体（conference track ontologies）结果进行对比，旨在探究以朴素方式使用对话式大型语言模型进行本体匹配的能力，并分析该方法的潜在优势与不足。