Automatic extraction of relationships between terms by means of Kohonen's algorithm

被引：5
作者：
Guerrero, VP [1 ]
Moya-Anegón, F
Herrero-Solana, V
机构：
[1] Univ Extremadura, Fac Bibliotecon & Documentac Alcazaba Badajoz, E-06071 Badajoz, Spain
[2] Univ Granada, Colegio Maximo Cartuja, Fac Bibliotecnon & Documentac, E-18071 Granada, Spain
来源：
LIBRARY & INFORMATION SCIENCE RESEARCH | 2002年 / 24卷 / 03期
关键词：
D O I：
10.1016/S0740-8188(02)00124-X
中图分类号：
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号：
1205 ; 120501 ;
摘要：
This article describes a method of finding the contextual relationships among different terms in a database. First, the vector model is used to represent the terms as vectors according to which documents they appear in. Second, these vectors are used as the input to a Kohonen network, which organizes them topologically. This organization, in turn, generates term clusters arranged on a grid, so that each term is not only related to the others in its own cluster but also to those of neighboring clusters. (C) 2002 Elsevier Science Inc. All rights reserved.
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收藏
页码：235 / 250
页数：16
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