Ontology ranking based on the analysis of concept structures

In view of the need to provide tools to facilitate the reuse of existing knowledge structures such as ontologies, we present in this paper a system, AKTiveRank, for the ranking of ontologies. AKTiveRank uses as input the search terms provided by a knowledge engineer and, using the output of an ontology search engine, ranks the ontologies. We apply a number of classical metrics in an attempt to investigate their appropriateness for ranking ontologies, and compare the results with a questionnaire-based human study. Our results show that AKTiveRank will have great utility although there is potential for improvement. Categories and Subject Descriptors H.3.3 [Information Search and Retrieval]: Selection process General Terms Management, Measurement, Experimentation Keywords Ontology ranking, ontology analysis, ranking techniques, semantic similarity

• Type: Conference
• Year: 2005
• Where: KCAP
• Authors: Harith Alani, Christopher Brewster
• Keywords: KCAP 2005, Ontology Search Engine, Questionnaire-based Human Study, Ranking