Domain ontology-based Web Cross Language Information Retrieval

被引：0
|
作者：
Cheng, Xiao-rong [1 ]
Guo, Hao-jun [1 ]
Wang, Hai-jiao [1 ]
He, Wei [1 ]
机构：
[1] N China Elect Power Univ, Dept Comp, Baoding 071003, Peoples R China
来源：
ADVANCING SCIENCE THROUGH COMPUTATION | 2008年
关键词：
ontolgy; CLIR; semantic web; concept similarity;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
With the enrichment of network information and the improvement of the user's needs,people are not satisfied with retrieving in the same kind of language,so Cross-Language Information Retrieval (CLIR)receives people's more and more concern. In order to meet the condition that user often enter keywords as query sentences, this paper brings forward an Web cross language information retrieval model based on the domain ontology, the retrieval rise to semantic level. The main ideal and methods of the model are described in detail. And through experiment,its results prove that this model can improved the retrieval performance to a certain extent.
引用
收藏
页码：129 / 133
页数：5
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