Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
SemRank: ranking complex relationship search results on the semantic web
WWW '05 Proceedings of the 14th international conference on World Wide Web
OS_RANK: Structure Analysis for Ontology Ranking
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
Handbook of Multicriteria Analysis
Handbook of Multicriteria Analysis
Ranking Ontologies Using Verified Entities to Facilitate Federated Queries
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Modelling ontology evaluation and validation
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Ranking ontologies with AKTiveRank
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
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Recent years have seen a progressive spread of ontologies. This indicates the need for instruments for their evaluation and ranking. However, most of the developed algorithms are based on a single metric, thus focusing on a unique feature and neglecting other potentially meaningful aspects. Others perform a weighted aggregation of different metrics, thus resulting in poor tunability and sensitivity to measurement errors. In this context, we propose the adoption of general purpose and flexible multi-criteria decision analysis techniques which represent a total novelty for ontologies. Two methods belonging to the Electre family are presented: Electre I and Electre III. Both techniques are compared to the well-known AKTiveRank procedure, demonstrating their suitability for ontology ranking. The former best identifies the most promising candidates amongst a set of alternatives. The latter provides a set of tuning parameters for making thin ranking procedures.