Corpus-based thesaurus construction for image retrieval in specialist domains

被引：0

作者：

Ahmad, K ^{[1
]}

Tariq, M ^{[1
]}

Vrusias, B ^{[1
]}

Handy, C ^{[1
]}

机构：

[1] Univ Surrey, Sch Elect & Phys Sci, Dept Comp, Guildford GU2 7XH, Surrey, England

来源：

ADVANCES IN INFORMATION RETRIEVAL | 2003年 / 2633卷

关键词：

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：

This paper explores the use of texts that are related to an image collection, also known as collateral texts, for building thesauri in specialist domains to aid in image retrieval. Corpus linguistic and information extraction methods are used for identifying key terms and semantic relationships in specialist texts that may be used for query expansion purposes. The specialist domain context imposes certain constraints on the language used in the texts, which makes the texts computationally more tractable.

引用

页码：502 / 510

页数：9

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