• DocumentCode
    1621127
  • Title

    Analysis of legal thesauri based on self-organising feature maps

  • Author

    Merkl, D. ; Schweighofer, E. ; Winiwater, W.

  • Author_Institution
    Vienna Univ. of Technol., Austria
  • fYear
    1995
  • Firstpage
    29
  • Lastpage
    34
  • Abstract
    This paper is concerned with the application of Kohonen´s self-organising feature map to legal knowledge acquisition. More precisely, the map is used for analysis of legal thesauri which are obtained by means of connotation analysis of the individual document descriptors. The outcome of the learning process of the artificial neural network is further used to distinguish between precise legal terms and terms with rather fuzzy meaning
  • Keywords
    information retrieval systems; knowledge acquisition; law administration; learning (artificial intelligence); self-organising feature maps; thesauri; connotation analysis; document descriptors; fuzzy meaning; learning; legal knowledge acquisition; legal terms; legal thesauri; self-organising feature maps;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Artificial Neural Networks, 1995., Fourth International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    0-85296-641-5
  • Type

    conf

  • DOI
    10.1049/cp:19950524
  • Filename
    497786
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1621127