DocumentCode
2915885
Title
Scientific Text Topics Discovery for e-science Semantic Grid Environment
Author
Luo, Xiangfeng ; Fang, Ning ; Yang, Zhe ; Xiao, Huizhe ; Xu, Weimin
Author_Institution
Semantic Grid & Web Content Anal. Group, Shanghai Univ.
fYear
2006
fDate
Oct. 2006
Firstpage
440
Lastpage
447
Abstract
The characteristics of scientific text topics discovery in e-science semantic grid environment is given firstly, and then a novel method about scientific text topics discovery is proposed. Thirdly the mean function of distances between topics to evaluate the scientific text topics discovery process is also presented. Finally, we adopt the texts of GCC2003 to prove that the proposed method has the ability in composition and decomposition as well as higher semantics; therefore the proposed method can provide researchers with more accurate knowledge services in e-science semantic grid environment and has bright future
Keywords
data mining; grid computing; natural sciences computing; semantic Web; GCC2003; e-science semantic grid environment; knowledge services; mean function; scientific text topic discovery; Bayesian methods; Data mining; Educational programs; Frequency; Fuzzy cognitive maps; Information analysis; Semantic Web; Statistical learning; Technological innovation; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Grid and Cooperative Computing, 2006. GCC 2006. Fifth International Conference
Conference_Location
Hunan
Print_ISBN
0-7695-2694-2
Type
conf
DOI
10.1109/GCC.2006.84
Filename
4031494
Link To Document