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AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching
arXiv:2607.27130v1 Announce Type: new Abstract: Ontology matching (OM) has traditionally been formulated as either equivalence discovery or subsumption matching. The existing OM systems identify only one type of semantic correspondence and cannot simultaneously discover equivalence and subsumption mappings. In this paper, we introduce Hybrid Ontology Matching (HOM), a new OM task that unifies equivalence and subsumption discovery, and accordingly propose a Large Language Model (LLM)-based multi-...
arXiv cs.AI
·Yiping Song, Jiaoyan Chen, Renate Schmidt, Hui Yang, Wen Zhang
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