Ontology supported automatic generation of high-quality semantic metadata

  • Authors:
  • Ümit Yoldas;Gábor Nagypál

  • Affiliations:
  • Conemis AG, Karlsruhe, Germany;FZI Research Center for Information Technologies, at the University of Karlsruhe, Karlsruhe, Germany

  • Venue:
  • ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
  • Year:
  • 2006

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Abstract

Large amounts of data in modern information systems, such as the World Wide Web, require innovative information retrieval techniques to effectively satisfy users' information need A promising approach is to exploit document semantics in the IR process For this purpose, high-quality semantic metadata is needed This paper introduces a method to automatically create semantic metadata by using ontologically enhanced versions of common information extraction methods, such as named entity recognition and coreference resolution Furthermore, this work also proposes the application of ontology-specific heuristic rules to further improve the quality of generated metadata The results of our method was evaluated using a small test collection.