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.
引用
收藏
页码：235 / 250
页数：16
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