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)

Paper ID: hcbd9d7e03e10702f
Venue: VLDB
Year: 2025
Pagerank: 5.3242384e-05
Overall Rank: 8,519 | 42.73%
DOI: 10.14778/3712221.3712222

Incoming Non-self Citations Over Time

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}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,831	PrepBench: How Far Are We from Natural-Language-Driven Data Preparation?	2026	VLDB	4.9793485e-05
11,024	Bridging LLMs and Database Systems: A Deep Dive into Enhanced Relational Operators	2026	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank

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