DocumentCode
2682022
Title
Semantics-Based Extraction of Webpage Main Text
Author
Fengjiao, Han ; Zhurong, Zhou
Author_Institution
Coll. of Comput. & Inf. Sci., Southwest Univ., Chongqing, China
fYear
2012
fDate
22-24 Oct. 2012
Firstpage
181
Lastpage
184
Abstract
Extraction of web page main text is one of the most efficient methods to improve search engine. In the traditional method, the extraction of the web page main text use the similarity of DOM sub-tree as a end condition for the DOM tree traversing, while its speed is unsatisfactory on such a complex web page structure. Thus, to raise the traverse speed and accuracy of DOM sub-tree effectively, we propose a method which is Semantics-based Extraction of Web page Main text.
Keywords
Web sites; search engines; semantic Web; text analysis; DOM sub-tree; DOM tree traversing; Webpage main text; complex Webpage structure; search engine; semantics-based extraction; Accuracy; Computers; Data mining; Educational institutions; HTML; Navigation; Semantics; Extraction; Semantics; Webpage;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grids (SKG), 2012 Eighth International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-2561-5
Type
conf
DOI
10.1109/SKG.2012.47
Filename
6391827
Link To Document