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...