Integrated Agent-Based Approach for Ontology-Driven Web Filtering

  • David Sánchez
  • David Isern
  • Antonio Moreno
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4253)


For knowledge-intensive industries it is of paramount importance to keep an up-to-date knowledge map of their domain in order to take the most appropriate strategic decisions. The Web offers a huge amount of valuable information, but its interaction is very hard and time consuming for humans because it requires to filter, analyse all related web pages and integrate it in a knowledge repository. This paper describes an integrated agent-based ontology-driven approach to retrieve web pages that contain data relevant to each of the main concepts of the domain of interest in a completely automatic, unsupervised and domain independent way.


Search Engine Multiagent System Domain Ontology Ontology Learn Weight Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • David Sánchez
    • 1
  • David Isern
    • 1
  • Antonio Moreno
    • 1
  1. 1.Computer Science and Mathematics Department, Artificial Intelligence Research GroupUniversitat Rovira i Virgili (URV)BANZAI, TarragonaSpain

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