Agent-OM: Leveraging LLM Agents for Ontology Matching
Summary: Agent-OM: a new LLM-agent paradigm for ontology matching using two Siamese agents (retrieval + matching) plus OM tools to structure matching workflows. POC on OAEI shows near‑SOTA on simple tracks and large gains on complex/few‑shot tasks, highlighting agent-driven reasoning and tool orchestration for OM. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Zhangcheng Qiang (Australian National University)
- 2. Weiqing Wang (Monash University)
- 3. Kerry Taylor (Australian National University)
BibTeX Citation
@article{qiang_vldb25,
title = {{Agent-OM: Leveraging LLM Agents for Ontology Matching}},
author = {Qiang, Zhangcheng and Wang, Weiqing and Taylor, Kerry},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {3},
pages = {516--529},
doi = {10.14778/3712221.3712222},
url = {https://doi.org/10.14778/3712221.3712222},
year = {2025}
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