Identifying Mismatches in Alignments of Large Anatomical Ontologies.

Zhang S, Bodenreider O

AMIA Annu Symp Proc. 2007 Oct 11:851-5

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Abstract:

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.

Zhang S, Bodenreider O. Identifying Mismatches in Alignments of Large Anatomical Ontologies. 
AMIA Annu Symp Proc. 2007 Oct 11:851-5

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