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Hao-Nan Li

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Open access Sep 2026

Auditable Symbolic Candidate Generation for Biomedical Ontology Matching in Medical AI Systems

Biomedical ontology matching is a key step for semantic interoperability in medical AI systems, supporting clinical terminology mapping, cross-resource search, biomedical knowledge graph construction, and phenotype-aware data integration. This paper presents ARB, an auditable symbolic candidate-generation module design...

Xing-Si Xue, Rui-Chao Xia, Hao-Nan Li et al. · 0 citations

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