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Identifying mismatches in alignments of large anatomical ontologies
Songmao Zhang1, Olivier Bodenreider
1Institute of Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, P. R. China. Smzhang@math.ac.cn
Unlabelled:
The objective of this study is to propose a model of matching errors for identifying mismatches in alignments of large anatomical ontologies. Meth-ods: 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.
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