Research on effective Web information retrieval based on Semantic Web

被引：0

作者：

Xiao Min ^{[1
]}

Xiong Qianxing ^{[1
]}

Wang Chunhua ^{[1
]}

Pu Qiumei ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Comp Sci & Technol, Wuhan 430063, Hubei, Peoples R China

来源：

DCABES 2007 PROCEEDINGS, VOLS I AND II | 2007年

关键词：

information retrieval; Semantic Web; ontology; resource description framework; Web ontology language;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The use of ontology to overcome the limitations of keyword-based search has been put forward as one of the motivations of the Semantic Web since its emergence in the late 90's. In the paper, an improved information retrieval model based on ontology is proposed. Exploiting ontology, the information retrieval system can filter irrelevant information to gain high precision and find latent relevant information to retain high recall. The analysis result shows that the improved information retrieval model can effectively enhance retrieval performance.

引用

页码：903 / 905

页数：3