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
Link To Document :
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