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Ontologies and concept taxonomies help software systems organize data more effectively for particular application domains. Ontologies also enable sharing and integration of data from different domains and data sources. However, ontologies from different domains are rarely identical; thus, there is need for techniques to find alignments between concepts in different ontologies and taxonomies. In this paper, the authors first note that alignment algorithms can be classified into two, structurally-informed and extensionally-informed. The authors then present a concept vector based scheme that capture structural information inherent in taxonomies to facilitate structure-based matching of concepts across taxonomies.
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