Semantic Web based Information Query System for the integration of semantic data

被引：0
|
作者：
Choi, O [1 ]
Han, S [1 ]
Abraham, A [1 ]
机构：
[1] Chung Ang Univ, Dept Comp Sci & Engn, Seoul 156756, South Korea
来源：
INTERNATIONAL CONFERENCE ON NEXT GENERATION WEB SERVICES PRACTICES | 2005年
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：
In this paper, we propose Semantic Web based Information Query System (SW-IQS) using Ontology Server. SW-IQS is supposed to enhance efficiency and accuracy of information retrieval for unstructured and semi-structured documents. For the interoperability and easy integration, we suggest RDF based repository system. A new ranking algorithm is also proposed to measure the similarity between documents with semantic information for rapid and correct information retrieval. The proposed algorithm is implemented and compared with some of the existing models.
引用
收藏
页码：253 / 258
页数：6
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