Title :
Trend Analysis using a TemporalWeb Ontology Language in News Domains
Author :
Kim, Sang-Kyun ; Lee, Kyu-Chul
Author_Institution :
Chungnam Nat. Univ., Seoul
Abstract :
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.
Keywords :
ontologies (artificial intelligence); search engines; semantic Web; temporal reasoning; news domain; search engines; semantic Web technology; temporal Web ontology language; temporal reasoning; trend analysis; Formal specifications; Information analysis; Logic; OWL; Ontologies; Proposals; Resource description framework; Search engines; Semantic Web; XML;
Conference_Titel :
Computer Software and Applications Conference, 2007. COMPSAC 2007. 31st Annual International
Conference_Location :
Beijing
Print_ISBN :
0-7695-2870-8
DOI :
10.1109/COMPSAC.2007.227
