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Identifying Mismatches in Alignments of Large Anatomical Ontologies
Objective: The objective of this study is to propose a model of matching errors for identifying mismatches in alignments of large anatomical ontologies. Methods: Three approaches to identifying mismatches are utilized: 1) lexical, based on the presence of modifiers in the names of the concepts aligned; 2) structural, identifying conflicting relations resulting from the alignment; and 3) semantic, based on disjoint top-level categories across ontologies. Results: 83% of the potential mismatches identified by the HMatch system are identified by at least one of the approaches. Conclusions: Although not a substitute for a careful validation of the matches, these approaches significantly reduce the need for manual validation by effectively characterizing most mismatches.