Semantic web based information retrieval system for the users' preferences

被引：0

作者：

Choi, Okkyung ^{[1
]}

Han, Sangyong ^{[1
]}

机构：

[1] Chung Ang Univ, Dept Comp Sci & Engn, Seoul 156756, South Korea

来源：

ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS | 2007年 / 15卷 / 01期

关键词：

information retrieval systems; semantic web; system architecture; intelligent systems; ranking algorithm;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Information Retrieval Systems aim towards providing fast and accurate information to users. But the majority of the current Retrieval Systems are based on plain syntactic analysis which makes it difficult for the user to find the exact required information. This paper proposes the Semantic Web based Information Retrieval System using an Ontology Server to enhance efficiency and accuracy of information retrieval for the Users' Preferences. Evaluation model is also proposed to measure the similarity between documents with semantic information. It is implemented and compared with the existing systems.

引用

页码：25 / 31

页数：7

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