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Knowledge discovery for flexible querying

  • Henrik L. Larsen
  • Troels Andreasen
  • Henning Christiansen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1495)

Abstract

We present an approach to flexible querying by exploiting similarity knowledge hidden in the information base. The knowledge represents associations between the terms used in descriptions of objects. Central to our approach is a method for mining the database for similarity knowledge, representing this knowledge in a fuzzy relation, and utilizing it in softening of the query. The approach has been implemented, and an experiment has been carried out on a real-world bibliographic database. The experiments demonstrated that without much sophistication in the system, we can automatically to derive domain knowledge that corresponds to human intuition, and utilize this knowledge to obtain a considerable increase in the quality of the search system.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Henrik L. Larsen
    • 1
  • Troels Andreasen
    • 1
  • Henning Christiansen
    • 1
  1. 1.Department of Computer ScienceRoskilde UniversityRoskilde

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