Abstract
Ontology reuse saves costs and improves interoperability between ontologies. Knowing which ontology to reuse is difficult without having a quality assessment. We employ user ratings to determine the user-perceived quality of ontologies. The combination of an Open Rating System (ORS), user ratings, and information on trust between users, allow us to compute a personalized ranking of ontologies. In this paper, we present our extension, the Topic-Specific Trust Open Rating System (TS-ORS). To overcome the limitations of the ORS, the TS-ORS features topic-specific trust and multi-faceted ratings. In a user study, we show that having user ratings and result ranking based on a TS-ORS significantly facilitates ontology assessment and selection for the end user.
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Lewen, H., d’Aquin, M. (2010). Extending Open Rating Systems for Ontology Ranking and Reuse. In: Cimiano, P., Pinto, H.S. (eds) Knowledge Engineering and Management by the Masses. EKAW 2010. Lecture Notes in Computer Science(), vol 6317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16438-5_34
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DOI: https://doi.org/10.1007/978-3-642-16438-5_34
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