• DocumentCode
    1987236
  • Title

    A neural network model for documentary base self-organising and querying

  • Author

    Boughanem, M. ; Layaida, R. ; Caron, A.

  • Author_Institution
    MSI, Univ. des Sci. de Limoges, France
  • fYear
    1993
  • fDate
    27-29 May 1993
  • Firstpage
    512
  • Lastpage
    518
  • Abstract
    The paper describes a connectionist architecture for an information retrieval system. The concept of a “dynamic” thesaurus is considered, in order to improve the construction of a documentary base and to perform associative information retrieval. The authors suggest a set of rules for activating cells in order to start an activation/propagation process, on which the associative information retrieval is based while a self-organising mechanism is also activated. These two notions allow one to develop automatic query reformulating and dynamic restructuring of the information base
  • Keywords
    information retrieval systems; neural nets; query processing; self-adjusting systems; thesauri; activation; associative information retrieval; automatic query reformulating; connectionist architecture; documentary base; dynamic restructuring; dynamic thesaurus; information base; information retrieval system; neural network; propagation process; querying; rules; self-organising; self-organising mechanism; Bayesian methods; Data mining; Electronic mail; Information retrieval; Machine assisted indexing; Neural networks; Neurofeedback; Statistical analysis; Text analysis; Thesauri;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Information, 1993. Proceedings ICCI '93., Fifth International Conference on
  • Conference_Location
    Sudbury, Ont.
  • Print_ISBN
    0-8186-4212-2
  • Type

    conf

  • DOI
    10.1109/ICCI.1993.315319
  • Filename
    315319