Concept Search

  • Authors:

  • Fausto Giunchiglia;Uladzimir Kharkevich;Ilya Zaihrayeu

  • Affiliations:

  • Department of Information Engineering and Computer Science, University of Trento, Italy;Department of Information Engineering and Computer Science, University of Trento, Italy;Department of Information Engineering and Computer Science, University of Trento, Italy

  • Venue:
  • ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
  • Year:
  • 2009

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Abstract

In this paper we present a novel approach, called Concept Search, which extends syntactic search, i.e., search based on the computation of string similarity between words, with semantic search, i.e., search based on the computation of semantic relations between concepts. The key idea of Concept Search is to operate on complex concepts and to maximally exploit the semantic information available, reducing to syntactic search only when necessary, i.e., when no semantic information is available. The experimental results show that Concept Search performs at least as well as syntactic search, improving the quality of results as a function of the amount of available semantics.