WEIGHTING QUERY TERMS USING WORDNET ONTOLOGY

被引：0

作者：

Sakre, Mohammed M. ^{[1
]}

Kouta, Mohammed M. ^{[2
]}

Allam, Ali M. N. ^{[2
]}

机构：

[1] Al Shorouk Acad, High Inst Comp & Informat Syst, Cairo, Egypt

[2] Arab Acad Sci Technol & Maritime Transport, Coll Comp & Informat Technol, Alexandria, Egypt

来源：

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2009年 / 9卷 / 04期

关键词：

Information retrieval; WordNet; ontology; conceptual weighting; term specificity;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Term-weighting techniques are responsible for giving a weight for each query term to determine its significance. This term significance is based on the generality or specificity of that term. Traditional weighting models, such as the Inverse Document Frequency (IDF), measure the generality/specificity of terms through document collection statistics. This paper presents a technique that employs the WordNet ontology to determine the significance of query terms without depending on document collection statistics. The experiments are carried out on the WT2g document collection under the Terrier Information Retrieval Platform.

引用

页码：349 / 358

页数：10

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