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An Agent-Based Knowledge Acquisition Platform

  • David Sánchez
  • David Isern
  • Antonio Moreno
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3550)

Abstract

Accessing up-to-date information in a fast and easy way implies the necessity of information management tools to explore and analyse the huge number of available electronic resources. The Web offers a large amount of valuable information, but its human-oriented representation and its size makes extremely difficult any kind of computer-based processing. In this paper, a combination of distributed AI and information extraction techniques is proposed to tackle this problem. In particular, we have designed a multiagent system that composes ontologies from taxonomies of terms. Moreover, the obtained ontology is used to represent, in a structured way, the currently available web resources. The paper analyses the application of this approach in some examples in the medical domain.

Keywords

Multiagent System Human Expert User Agent Coordinator Agent Ontology Learn 
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 2005

Authors and Affiliations

  • David Sánchez
    • 1
  • David Isern
    • 1
  • Antonio Moreno
    • 1
  1. 1.Department of Computer Science and Mathematics (DEIM)University Rovira i Virgili (URV)TarragonaSpain

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