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The objective of this study is to evaluate the contribution to semantic integration of the semantic relations extracted from concept names, representing augmented knowledge. Three augmentation methods – based on linguistic phenomena – are investigated (reification, nominal modification, and prepositional attachment). The number of concepts aligned in two ontologies of anatomy before and after augmentation serves as the evaluation criterion. Among the 2353 concepts exhibiting lexical resemblance across systems, the number of concepts supported by structural evidence (i.e., shared

An ontology is a formal representation of a domain modeling the
entities in the domain and their relations. When a domain is represented by

To investigate the feasibility of deriving an indirect alignment between two ontologies from the two direct alignments of these ontologies to a reference ontology. The three anatomical ontologies under investigation are the Adult Mouse Anatomical Dictionary (MA), the NCI Thesaurus (NCI) and the Foundational Model of Anatomy (FMA). Methods: The direct alignment employs a combination of lexical and structural similarity. The indirect align-ment simply derives mappings from direct alignments to the reference ontology.

This paper reports on the alignment between mouse and human anatomies, a critical resource for comparative science as diseases in mice are used as models of human disease. The two ontologies under investigation are the NCI Thesaurus (human anatomy) and the Adult Mouse Anatomical Dictionary, each comprising about 2500 anatomical concepts. This study compares two approaches to aligning ontologies. One is fully automatic, based on a combination of lexical and structural similarity; the other is manual. The resulting mappings were evaluated by an expert.