Knowledge Modelling for Deductive Web Mining

  • Vojtěch Svátek
  • Martin Labský
  • Miroslav Vacura
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3257)

Abstract

Knowledge-intensive methods that can altogether be characterised as deductive web mining (DWM) already act as supporting technology for building the semantic web. Reusable knowledge-level descriptions may further ease the deployment of DWM tools. We developed a multi-dimensional, ontology-based framework, and a collection of problem-solving methods, which enable to characterise DWM applications at an abstract level. We show that the heterogeneity and unboundedness of the web demands for some modifications of the problem-solving method paradigm used in the context of traditional artificial intelligence.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Vojtěch Svátek
    • 1
  • Martin Labský
    • 1
  • Miroslav Vacura
    • 1
  1. 1.Department of Information and Knowledge EngineeringUniversity of EconomicsPraha 3Czech Republic

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