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2005 International Conference on Cyberworlds (CW'05)
Automatic Classification of Web Information Based on Site Structure
Singapore
November 23-November 25
ISBN: 0-7695-2378-1
ASCII Text
x 
 
Gao Kening, Yang Leiming, Zhang Bin, Chai Qiaozi, Ma Anxiang, "Automatic Classification of Web Information Based on Site Structure," Cyberworlds, International Conference on, pp. 552-558, 2005 International Conference on Cyberworlds (CW'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/CW.2005.24,
author = {Gao Kening and Yang Leiming and Zhang Bin and Chai Qiaozi and Ma Anxiang},
title = {Automatic Classification of Web Information Based on Site Structure},
journal ={Cyberworlds, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2378-1},
pages = {552-558},
doi = {http://doi.ieeecomputersociety.org/10.1109/CW.2005.24},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Cyberworlds, International Conference on
TI - Automatic Classification of Web Information Based on Site Structure
SN - 0-7695-2378-1
SP552
EP558
A1 - Gao Kening,
A1 - Yang Leiming,
A1 - Zhang Bin,
A1 - Chai Qiaozi,
A1 - Ma Anxiang,
PY - 2005
KW - null
VL - 0
JA - Cyberworlds, International Conference on
ER -
 
Gao Kening, Northeastern University , Shenyang, China
Yang Leiming, Northeastern University , Shenyang, China
Zhang Bin, Northeastern University , Shenyang, China
Chai Qiaozi, Northeastern University , Shenyang, China
Ma Anxiang, Northeastern University , Shenyang, China
How to classify automatically web information that grows explosive is becoming an imminent problem needed to be resolved. Based on site structure, we propose, in this paper, a new mechanism of automatic classification of web information, which downloads web pages within a web site, records the hyperlinks among web pages, catches the site structure, extracts the classifying system of the site itself, and then links categorizing information with the correspondent position in the site structure. Therefore automatic classification of web information can be realized through matching the positions of categorizing information with the positions of web pages. Experiments show that such classification based on site structure works more accurately and efficiently.
Citation:
Gao Kening, Yang Leiming, Zhang Bin, Chai Qiaozi, Ma Anxiang, "Automatic Classification of Web Information Based on Site Structure," cw, pp.552-558, 2005 International Conference on Cyberworlds (CW'05), 2005
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