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Scientific Text Topics Discovery for e-science Semantic Grid Environment
Hunan, China October 21-October 23
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/GCC.2006.84Fifth International Conference on Gri ...
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Xiangfeng Luo, Ning Fang, Zhe Yang, Huizhe Xiao, Weimin Xu, "Scientific Text Topics Discovery for e-science Semantic Grid Environment," Grid and Cooperative Computing, International Conference on, pp. 440-447, Fifth International Conference on Grid and Cooperative Computing (GCC'06), 2006.
 
 
BibTex
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@article{ 10.1109/GCC.2006.84,
author = {Xiangfeng Luo and Ning Fang and Zhe Yang and Huizhe Xiao and Weimin Xu},
title = {Scientific Text Topics Discovery for e-science Semantic Grid Environment},
journal ={Grid and Cooperative Computing, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2694-2},
pages = {440-447},
doi = {http://doi.ieeecomputersociety.org/10.1109/GCC.2006.84},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Grid and Cooperative Computing, International Conference on
TI - Scientific Text Topics Discovery for e-science Semantic Grid Environment
SN - 0-7695-2694-2
SP440
EP447
A1 - Xiangfeng Luo,
A1 - Ning Fang,
A1 - Zhe Yang,
A1 - Huizhe Xiao,
A1 - Weimin Xu,
PY - 2006
KW - null
VL - 0
JA - Grid and Cooperative Computing, International Conference on
ER -
 
Xiangfeng Luo, Shanghai University, China
Ning Fang, Shanghai University, China
Zhe Yang, Shanghai University, China
Huizhe Xiao, Shanghai University, China
Weimin Xu, Shanghai University, China
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.
Citation:
Xiangfeng Luo, Ning Fang, Zhe Yang, Huizhe Xiao, Weimin Xu, "Scientific Text Topics Discovery for e-science Semantic Grid Environment," gcc, pp.440-447, Fifth International Conference on Grid and Cooperative Computing (GCC'06), 2006
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