Ranking ontologies with AKTiveRank

  • Authors:
  • Harith Alani;Christopher Brewster;Nigel Shadbolt

  • Affiliations:
  • Intelligence, Agents, Multimedia, School of Electronics and Computer Science, University of Southampton, Southampton, UK;Dept. of Computer Science, University of Sheffield, Sheffield, UK;Intelligence, Agents, Multimedia, School of Electronics and Computer Science, University of Southampton, Southampton, UK

  • Venue:
  • ISWC'06 Proceedings of the 5th international conference on The Semantic Web
  • Year:
  • 2006

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Abstract

Ontology search and reuse is becoming increasingly important as the quest for methods to reduce the cost of constructing such knowledge structures continues. A number of ontology libraries and search engines are coming to existence to facilitate locating and retrieving potentially relevant ontologies. The number of ontologies available for reuse is steadily growing, and so is the need for methods to evaluate and rank existing ontologies in terms of their relevance to the needs of the knowledge engineer. This paper presents AKTiveRank, a prototype system for ranking ontologies based on a number of structural metrics.