ECON: An approach to extract content from web news page

Yan Guo, Huifeng Tang, Linhai Song, Yu Wang, Guodong Ding

Research output: Chapter in Book/Report/Conference proceedingConference contribution

28 Scopus citations

Abstract

This paper provides a simple but effective approach, named ECON, to fully-automatically extract content from Web news page. ECON uses a DOM tree to represent the Web news page and leverages the substantial features of the DOM tree. ECON finds a snippet-node by which a part of the content of news is wrapped firstly, then backtracks from the snippet-node until a summary-node is found, and the entire content of news is wrapped by the summary-node. During the process of backtracking, ECON removes noise. Experimental results showed that ECON can achieve high accuracy and fully satisfy the requirements for scalable extraction. Moreover, ECON can be applied to Web news page written in many popular languages such as Chinese, English, French, German, Italian, Japanese, Portuguese, Russian, Spanish, Arabic. ECON can be implemented much easily.

Original languageEnglish (US)
Title of host publicationAdvances in Web Technologies and Applications - Proceedings of the 12th Asia-Pacific Web Conference, APWeb 2010
Pages314-320
Number of pages7
DOIs
StatePublished - 2010
Event12th International Asia Pacific Web Conference, APWeb 2010 - Busan, Korea, Republic of
Duration: Apr 6 2010Apr 8 2010

Publication series

NameAdvances in Web Technologies and Applications - Proceedings of the 12th Asia-Pacific Web Conference, APWeb 2010

Other

Other12th International Asia Pacific Web Conference, APWeb 2010
Country/TerritoryKorea, Republic of
CityBusan
Period4/6/104/8/10

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

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