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2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03)
Odaies: Ontology-driven Adaptive Web Information Extraction System
Halifax, Canada
October 13-October 17
ISBN: 0-7695-1931-8
ASCII Text
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Ning Zhang, Hong Chen, Yu Wang, Shi-Jun Cheng, Ming-Feng Xiong, "Odaies: Ontology-driven Adaptive Web Information Extraction System," Intelligent Agent Technology, IEEE / WIC / ACM International Conference on, pp. 454, 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03), 2003.
 
 
BibTex
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@article{ 10.1109/IAT.2003.1241120,
author = {Ning Zhang and Hong Chen and Yu Wang and Shi-Jun Cheng and Ming-Feng Xiong},
title = {Odaies: Ontology-driven Adaptive Web Information Extraction System},
journal ={Intelligent Agent Technology, IEEE / WIC / ACM International Conference on},
volume = {0},
year = {2003},
isbn = {0-7695-1931-8},
pages = {454},
doi = {http://doi.ieeecomputersociety.org/10.1109/IAT.2003.1241120},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
TI - Odaies: Ontology-driven Adaptive Web Information Extraction System
SN - 0-7695-1931-8
SP
EP
A1 - Ning Zhang,
A1 - Hong Chen,
A1 - Yu Wang,
A1 - Shi-Jun Cheng,
A1 - Ming-Feng Xiong,
PY - 2003
KW - ontology
KW - information extraction
KW - knowledge discovery
VL - 0
JA - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
ER -
 
Ning Zhang, Peking University, Beijing, China
Hong Chen, Peking University, Beijing, China
Yu Wang, Peking University, Beijing, China
Shi-Jun Cheng, Peking University, Beijing, China
Ming-Feng Xiong, Peking University, Beijing, China
This paper proposes an ontology-driven self-adapting approach in semi-structure web information extracting field, where ontology provides semantic support and plays a central role during the extraction process. It excels traditional wrapper systems at adaptiveness and maintenance. Firstly, we build a domain-dependant ontology. Then we design three templates generating algorithms, which have self-adaptiveness and self-maintenance based on the ontology, to perform the web page information extraction. Experiment results show that our prototype system can achieve 100% recall & 97.64% precision.
Index Terms:
ontology, information extraction, knowledge discovery
Citation:
Ning Zhang, Hong Chen, Yu Wang, Shi-Jun Cheng, Ming-Feng Xiong, "Odaies: Ontology-driven Adaptive Web Information Extraction System," iat, pp.454, 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03), 2003
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