DocumentCode
479018
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
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/WiCom.2008.2595
Filename
4680784
Link To Document