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 :
بازگشت