An information extraction system for heterogeneous Web source

Ting Zhou; Cheng Jie Sun; Lei Lin; Bing Quan Liu

doi:10.1109/ICMLC.2010.5580698

An information extraction system for heterogeneous Web source

Ting Zhou^*
, Cheng Jie Sun
, Lei Lin
, Bing Quan Liu

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Information Extraction is the task of identifying information in texts and converting it into a predefined format. In this paper, we build an information integration system which focuses on the information of computer science teachers in Chinese universities. The target of the system is to automatically extract the useful information from heterogeneous sources and re-organize them into structured format. The system includes 4 main modules: web pages retrieval module, web pages' structure classification module, information extraction module and information updating module. We have successfully applied the system to deal with 107 universities in China which shows the effect of the proposed system.

Original language	English
Title of host publication	2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
Publisher	IEEE Computer Society
Pages	3287-3292
Number of pages	6
ISBN (Print)	9781424465262
DOIs	https://doi.org/10.1109/ICMLC.2010.5580698
State	Published - 2010
Externally published	Yes

Publication series

Name	2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
Volume	6

Keywords

Information Extraction
Topical crawler
Web mining
Web page structure classification

Access to Document

10.1109/ICMLC.2010.5580698

Cite this

Zhou, T., Sun, C. J., Lin, L., & Liu, B. Q. (2010). An information extraction system for heterogeneous Web source. In 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010 (pp. 3287-3292). Article 5580698 (2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010; Vol. 6). IEEE Computer Society. https://doi.org/10.1109/ICMLC.2010.5580698

@inproceedings{66a15409576345d5b2717fcb53ee419f,

title = "An information extraction system for heterogeneous Web source",

abstract = "Information Extraction is the task of identifying information in texts and converting it into a predefined format. In this paper, we build an information integration system which focuses on the information of computer science teachers in Chinese universities. The target of the system is to automatically extract the useful information from heterogeneous sources and re-organize them into structured format. The system includes 4 main modules: web pages retrieval module, web pages' structure classification module, information extraction module and information updating module. We have successfully applied the system to deal with 107 universities in China which shows the effect of the proposed system.",

keywords = "Information Extraction, Topical crawler, Web mining, Web page structure classification",

author = "Ting Zhou and Sun, \{Cheng Jie\} and Lei Lin and Liu, \{Bing Quan\}",

year = "2010",

doi = "10.1109/ICMLC.2010.5580698",

language = "英语",

isbn = "9781424465262",

series = "2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010",

publisher = "IEEE Computer Society",

pages = "3287--3292",

booktitle = "2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010",

address = "美国",

}

An information extraction system for heterogeneous Web source. / Zhou, Ting; Sun, Cheng Jie ; Lin, Lei et al.
2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010. IEEE Computer Society, 2010. p. 3287-3292 5580698 (2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010; Vol. 6).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Sun, Cheng Jie

AU - Lin, Lei

AU - Liu, Bing Quan

PY - 2010

Y1 - 2010

N2 - Information Extraction is the task of identifying information in texts and converting it into a predefined format. In this paper, we build an information integration system which focuses on the information of computer science teachers in Chinese universities. The target of the system is to automatically extract the useful information from heterogeneous sources and re-organize them into structured format. The system includes 4 main modules: web pages retrieval module, web pages' structure classification module, information extraction module and information updating module. We have successfully applied the system to deal with 107 universities in China which shows the effect of the proposed system.

AB - Information Extraction is the task of identifying information in texts and converting it into a predefined format. In this paper, we build an information integration system which focuses on the information of computer science teachers in Chinese universities. The target of the system is to automatically extract the useful information from heterogeneous sources and re-organize them into structured format. The system includes 4 main modules: web pages retrieval module, web pages' structure classification module, information extraction module and information updating module. We have successfully applied the system to deal with 107 universities in China which shows the effect of the proposed system.

KW - Information Extraction

KW - Topical crawler

KW - Web mining

KW - Web page structure classification

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AN - SCOPUS:78149351110

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EP - 3292

BT - 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010

PB - IEEE Computer Society

ER -

An information extraction system for heterogeneous Web source

Abstract

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Keywords

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