Designing Ontological Agents: an Alternative to Improve Information Retrieval in Federated Digital Libraries

  • María A. Medina
  • Alfredo Sánchez
  • Alberto Chávez
  • Antonio Benítez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3034)


Search engines base their operation just in keywords management; some of them are ambiguous, consequently, a lot of irrelevant results are produced. To take into account the meaning of keywords, we describe the architecture of a multi-agent system in charged of information retrieval tasks in digital libraries. The main components are termed ontological agents. They are software entities that make use of ontologies to expand queries and to avoid as much ambiguity as possible of keywords. Ontologies are also used to identify relevant sources of information. The design of these agents is based on Gaia methodology.


Digital Library Mobile Agent Software Entity Reference Agent Virtual Reference 
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 2004

Authors and Affiliations

  • María A. Medina
    • 1
  • Alfredo Sánchez
    • 2
  • Alberto Chávez
    • 2
  • Antonio Benítez
    • 2
  1. 1.Universidad Tecnológica de la MixtecaHuajuapan de LeónMéxico
  2. 2.Universidad De Las AméricasPuebla CholulaMéxico

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