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2007 31st Annual International Computer Software and Applications Conference
Trend Analysis using a TemporalWeb Ontology Language in News Domains
Beijing, China
July 24-July 27
ISBN: 0-7695-2870-8
Sang-Kyun Kim, Chungnam National University, South Korea
Kyu-Chul Lee, Chungnam National University, South Korea
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.
Citation:
Sang-Kyun Kim, Kyu-Chul Lee, "Trend Analysis using a TemporalWeb Ontology Language in News Domains," compsac, vol. 2, pp.131-136, 2007 31st Annual International Computer Software and Applications Conference, 2007
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