Abstract

Many ontologies have been developed recently, and evaluation is important for researchers or users when searching ontologies needed in their work. Ontology evaluation also is important phase of ontology development, refinement or evolution process. Automatically-developed ontologies as a result of ontology learning also need from evaluation. So, ontology evaluation is important both for selecting ontologies, meeting some requirements, and as a part of ontology life cycle. In this paper we propose deep analysis of ontology evaluation and discuss how multilingualism affects ontology evaluation. We classify ontology evaluation approaches, methods and metrics according to several dimensions. Our analysis and conclusions will be helpful for development of good ontologies and for finding or selection of needed ontologies.

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