DocumentCode :
2935764
Title :
Semantic Shift Detection in Semantic Web
Author :
Ren, Ke ; Huang, ZhiXing ; Zhao, Anping ; Qiu, Yuhui
Author_Institution :
Semantic Grid Lab., Southwest Univ., Chongqing, China
fYear :
2009
fDate :
12-14 Oct. 2009
Firstpage :
416
Lastpage :
417
Abstract :
This paper present a method to discover the semantic shift detection(SSD) in semantic. In the way we can detect the shift with the link consisted in Web. By usage of topic shifts techniques as terms frequently occurring in documents. Our experiments results show that a number of topics can shift along in a group of terms with same semantic.
Keywords :
semantic Web; World Wide Web; semantic Web; semantic shift detection; topic shifts techniques; Frequency; Grid computing; HTML; Information filtering; Information filters; Information science; Neodymium; Resource description framework; Robustness; Semantic Web; Semantic Shift Topic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantics, Knowledge and Grid, 2009. SKG 2009. Fifth International Conference on
Conference_Location :
Zhuhai
Print_ISBN :
978-0-7695-3810-5
Type :
conf
DOI :
10.1109/SKG.2009.75
Filename :
5370498
Link To Document :
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