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This study introduces a novel agent-powered LLM-based design paradigm for OM systems. With consideration of several specific challenges in leveraging LLM agents for OM, we propose a generic framework, namely Agent-OM (Agent for Ontology Matching), consisting of two Siamese agents for retrieval and matching, with a set of OM tools. Our framework is implemented in a proof-of-concept system. Evaluations of three Ontology Alignment Evaluation Initiative (OAEI) tracks over state-of-the-art OM systems show that our system can achieve results very close to the long-standing best performance on simple OM tasks and can significantly improve the performance on complex and few-shot OM tasks.<\/jats:p>","DOI":"10.14778\/3712221.3712222","type":"journal-article","created":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T14:03:04Z","timestamp":1744034584000},"page":"516-529","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Agent-OM: Leveraging LLM Agents for Ontology Matching"],"prefix":"10.14778","volume":"18","author":[{"given":"Zhangcheng","family":"Qiang","sequence":"first","affiliation":[{"name":"Australian National University, Canberra, ACT, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weiqing","family":"Wang","sequence":"additional","affiliation":[{"name":"Monash University, Melbourne, VIC, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kerry","family":"Taylor","sequence":"additional","affiliation":[{"name":"Australian National University, Canberra, ACT, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,11]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Retrieved","author":"Team Alibaba Qwen","year":"2024","unstructured":"Alibaba Qwen Team. 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