A novel multi-aspect consistency measurement for ontologies

Authors:
Zhao Lu;Zoltán Miklós;Liang He;Songmei Cai;Junzhong Gu
Affiliations:
Department of Computer Science and Technology, East China Normal University, Shanghai, China;EPFL- I&C-LSIR, Lausanne, Switzerland;Department of Computer Science and Technology, East China Normal University, Shanghai, China;Department of Computer Science and Technology, East China Normal University, Shanghai, China;Department of Computer Science and Technology, East China Normal University, Shanghai, China
Venue:
Journal of Web Engineering
Year:
2011

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Abstract

Web developers have started to integrate semantic information to their systems increasingly often. Thesemantic metadata embedded with the resources is typically linked to ontologies or taxonomies. Metainformation can bring a number of advantages for users. However, the ontologies might contain someerrors or could be partially inconsistent. Therefore it is important to evaluate the quality of ontologies atvarious levels. Existing evaluation methods either investigate whether the ontologies are "fit for purpose",or focus on evaluating ontology consistencies from a single aspect. In this study, we focus on ontologyconsistency evaluation methods, which consider lexical, taxonomic and syntactic aspects at the same time.We propose new measures, which capture several essential aspects simultaneously. We demonstrate theeffectiveness of the new measure through a case study and an extensive set of experiments.