DocumentCode
2030488
Title
A Chinese Text Classification Approach Based on Semantic Web
Author
Yin, Shiqun ; Qiu, Yuhui ; Ge, Jike ; Wang, Fang
Author_Institution
Fac. of Comput. & Inf. Sci., Southwest Univ., Chongqing, China
fYear
2008
fDate
3-5 Dec. 2008
Firstpage
497
Lastpage
498
Abstract
This paper discusses a approach of Chinese text classification on semantic Web. It is given one classified technology based on the semantic concept established on the "How-net" . It extracts keywords from text, analyses the full text using the keywords concept, and then the integrates to classify by categories of keywords semantic concept. It has been tested that this approach has good effect.
Keywords
natural language processing; pattern classification; semantic Web; Chinese text classification; How-net; keywords extraction; keywords semantic concept; semantic Web; Data mining; Information retrieval; Ontologies; Resource description framework; Search engines; Semantic Web; Text categorization; Web mining; World Wide Web; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grid, 2008. SKG '08. Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
978-0-7695-3401-5
Electronic_ISBN
978-0-7695-3401-5
Type
conf
DOI
10.1109/SKG.2008.46
Filename
4725977
Link To Document