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.
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;
Conference_Titel :
Grid and Cooperative Computing, 2006. GCC 2006. Fifth International Conference
Conference_Location :
Hunan
Print_ISBN :
0-7695-2694-2
DOI :
10.1109/GCC.2006.84
