Trend analysis using a temporal Web ontology language in news domains

被引：0
|
作者：
Kim, Sang-Kyun [1 ]
Lee, Kyu-Chul [1 ]
机构：
[1] Chungnam Natl Univ, Dept Comp Engn, Taejon, South Korea
来源：
COMPSAC 2007: THE THIRTY-FIRST ANNUAL INTERNATIONAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE, VOL II, PROCEEDINGS | 2007年
关键词：
D O I：
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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 investigate a trend analysis service using Semantic Web technology in a news domain. The trend analysis service can provide more intelligent answers rather than the answer given in current news search engines since it can analyze the passage of time of news and the relation among news. In order to provide the trend analysis service, the capability of temporal reasoning is required, but the Semantic Web language such as OWL does not support the reasoning capability. Therefore, we propose a language TL-OWL extending OWL with the temporal reasoning.
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页码：131 / +
页数：2
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