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
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;
Conference_Titel :
Artificial Neural Networks, 1995., Fourth International Conference on
Conference_Location :
Cambridge
Print_ISBN :
0-85296-641-5
DOI :
10.1049/cp:19950524
