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Second International Conference on Semantics, Knowledge, and Grid (SKG'06)
Experiments Study for Scientific Texts Domain Keyword Acquisition
Guilin, Guangxi, China
November 01-November 03
ISBN: 0-7695-2673-X
ASCII Text
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Xiangfeng Luo, Ning Fang, Weimin Xu, Sheng Yu, Kai Yan, Huizhe Xiao, "Experiments Study for Scientific Texts Domain Keyword Acquisition," Semantics, Knowledge and Grid, International Conference on, pp. 45, Second International Conference on Semantics, Knowledge, and Grid (SKG'06), 2006.
 
 
BibTex
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@article{ 10.1109/SKG.2006.50,
author = {Xiangfeng Luo and Ning Fang and Weimin Xu and Sheng Yu and Kai Yan and Huizhe Xiao},
title = {Experiments Study for Scientific Texts Domain Keyword Acquisition},
journal ={Semantics, Knowledge and Grid, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2673-X},
pages = {45},
doi = {http://doi.ieeecomputersociety.org/10.1109/SKG.2006.50},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Semantics, Knowledge and Grid, International Conference on
TI - Experiments Study for Scientific Texts Domain Keyword Acquisition
SN - 0-7695-2673-X
SP
EP
A1 - Xiangfeng Luo,
A1 - Ning Fang,
A1 - Weimin Xu,
A1 - Sheng Yu,
A1 - Kai Yan,
A1 - Huizhe Xiao,
PY - 2006
KW - Domain keyword
KW - Knowledge Acquisition
KW - Semantic Grid
KW - Knowledge Grid
VL - 0
JA - Semantics, Knowledge and Grid, International Conference on
ER -
 
Xiangfeng Luo, Shanghai University, China
Ning Fang, Shanghai University, China
Weimin Xu, Shanghai University, China
Sheng Yu, Shanghai University, China
Kai Yan, Shanghai University, China
Huizhe Xiao, Shanghai University, China
Scientific texts domain keyword is one of the basic elements of the text high-level semantics acquisition, domain ontology building and the knowledge representation in semantic grid, knowledge grid and escience environment. It is also the indispensable foundation and prerequisite work of Web scientific texts automatic classification, clustering and personalized services. TFIDF based TDDF formula is proposed to extract scientific texts domain keyword. The experiments proved that TDDF formula extracting texts domain keyword is superior to the classic TFIDF formula does. Above discussions and achievements can provide certain support not only for the establishment of semantic grid, knowledge grid and escience environment, but also for the Web knowledge acquisition, representation and text information retrieval and so on.
Index Terms:
Domain keyword, Knowledge Acquisition, Semantic Grid, Knowledge Grid
Citation:
Xiangfeng Luo, Ning Fang, Weimin Xu, Sheng Yu, Kai Yan, Huizhe Xiao, "Experiments Study for Scientific Texts Domain Keyword Acquisition," skg, pp.45, Second International Conference on Semantics, Knowledge, and Grid (SKG'06), 2006
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