Title :
Research on the Information Filtering of OWL Text Based on Semantic Analysis
Author :
Shuda Wang ; Jing, Yang
Author_Institution :
Sch. of Comput. & Inf. Eng., Harbin Univ. of Commerce, Harbin
Abstract :
In order to overcome the defects of traditional-method filtering which based on keywords, the OWL text filtering is presented in the semantic Web environment, which makes information filtering, has been raised to the level of semantics. Through distinguishing the information between the title and text, and then calculating the semantic similarity of semantic, using the integrated filtering methods, the effect of filtering would be more efficient and accurate.
Keywords :
information filtering; ontologies (artificial intelligence); semantic Web; text analysis; OWL text filtering; information filtering; integrated filtering methods; semantic Web; semantic analysis; Information analysis; Information filtering; Information filters; Information retrieval; Intelligent networks; NIST; OWL; Ontologies; Resource description framework; Semantic Web;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
DOI :
10.1109/WiCom.2008.2595