Constructing an Information Retrieval System with neural networks

  • R. Layaida
  • M. Boughanem
  • A. Caron
Information Retrieval
Part of the Lecture Notes in Computer Science book series (LNCS, volume 856)


This paper describes an Information Retrieval System (IRS) based on the neural approach. Our goal is to construct an IRS able to evolve. We propose a network containing document, term and author nodes and a set of links between these different nodes. A set of activation/propagation rules on which is based the information retrieval and the queries expansion are presented. At last, we propose a learning strategy inspired by the backpropagation algorithm for dynamically organizing the information base.


Information Retrieval Neural Network Learning Dynamic Organization 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • R. Layaida
    • 1
  • M. Boughanem
    • 1
    • 2
  • A. Caron
    • 3
  1. 1.MSIUniversité des Sciences de LimogesLimogesFrance
  2. 2.IRIT/SIGUniversité Paul SABATIERToulouse CedexFrance
  3. 3.LERIA IUT/CGIUniversité de Bretagne OccidentaleLorientFrance

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