DocumentCode
1970676
Title
Extracting Content from Web Pages Based on RSS
Author
Qingcheng, Li ; Youmeng, Li
Author_Institution
Nankai Univ., Tianjin
Volume
5
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
218
Lastpage
221
Abstract
This paper proposes a new method to content extraction from Web pages based on an index of RSS. Discover the collection of structural similarity web page documents in the RSS feed, and find the page template with the algorithm. By computing the feature of content blocks, obtain the body template. And achieve to a batch extraction from Web page in this collection finally. The method has a strong fault tolerance for the Web documents. And the results showed that it has high accuracy and widely adaptive.
Keywords
Web sites; document handling; information retrieval; RSS; Web documents; Web pages; content extraction; Data mining; Fault tolerance; Feeds; HTML; Information filtering; Information filters; Information processing; Internet; Navigation; Web pages; RSS; Web template; content extraction; web block;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.85
Filename
4722882
Link To Document