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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
- 14115
- Venue
- VLDB
- Year
- 2025
- Pagerank
- -
- Overall Rank
- 13,123 | 8.71%
- DOI
-
10.14778/3712221.3712222
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