Information retrieval techniques applied to the development of a thesaurus

被引：2

作者：

Gil Urdiciain, Blanca ^{[1
]}

Jimenez, Rodrigo Sanchez ^{[1
]}

机构：

[1] Univ Complutense Madrid, Fac Ciencias Documentac, Madrid 28010, Spain

来源：

TRANSINFORMACAO | 2014年 / 26卷 / 01期

关键词：

Thesaurus development; Clustering; Vector space model; Generalized vector space model; Latent semantic indexing model;

D O I：

10.1590/S0103-37862014000100003

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：

The aim of the article was to propose the application of a set of techniques used in Information Retrieval for the development of a Thesaurus. The proposed ideas have been applied in the selection of the terminology; categorization of terms by creating clusters; and establishment of semantic relationships between terms through semantic similarity, which resulted in a Foreign Trade Thesaurus of 7,790 terms. From these results, we concluded that the techniques used significantly simplified the tasks of obtaining the terminology, and they can improve the quality of the final thesaurus. In addition, the techniques enabled the analysis of the conditions of the collection for which the thesaurus is used and provide extra information that would be hard to obtain manually.

引用

页码：19 / 26

页数：8

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