Scientific text topics discovery for e-science semantic grid environment

被引：0
|
作者：
Luo, Xiangfeng [1 ]
Fang, Ning [1 ]
Yang, Zhe [1 ]
Xiao, Huizhe [1 ]
Xu, Weimin [1 ]
机构：
[1] Shanghai Univ, Key Lab Grid Technol, Semant Grid & Web Content Anal Grp, Shanghai 200072, Peoples R China
来源：
GCC 2005: FIFTH INTERNATIONAL CONFERENCE ON GRID AND COOPERATIVE COMPUTING, PROCEEDINGS | 2006年
基金：
美国国家科学基金会;
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：440 / +
页数：2
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