A similarity measure based on semantic, terminological and linguistic information
نویسندگان
چکیده
Introduction The fundamental task of ontology matching is based on measuring the similarity between two ontology concepts [1]. However, we argue that a deeper semantic, terminological and linguistic analysis of specialized domain vocabularies is needed in order to establish a more sophisticated similarity measure that caters for the specific characteristics of this data. In particular we propose ’STL’, a novel similarity measure that takes semantic, terminological and linguistic variation into account.
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