Research on ontology-driven information retrieval

  • Authors:
  • Stein L. Tomassen

  • Affiliations:
  • Department of Computer and Information Science, Norwegian University of Technology and Science, Trondheim, Norway

  • Venue:
  • OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
  • Year:
  • 2006

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Abstract

An increasing number of recent information retrieval systems make use of ontologies to help the users clarify their information needs and come up with semantic representations of documents A particular concern here is the integration of these semantic approaches with traditional search technology The research presented in this paper examines how ontologies can be efficiently applied to large-scale search systems for the web We describe how these systems can be enriched with adapted ontologies to provide both an in-depth understanding of the user's needs as well as an easy integration with standard vector-space retrieval systems The ontology concepts are adapted to the domain terminology by computing a feature vector for each concept Later, the feature vectors are used to enrich a provided query The whole retrieval system is under development as part of a larger Semantic Web standardization project for the Norwegian oil & gas sector.