DocumentCode
2825375
Title
Research and Implementation on Multi-Cues Based Page Segmentation Algorithm
Author
Hu Yan ; Miao Miao
Author_Institution
Comput. Sci. & Technol. Sch., Wuhan Univ. of Technol., Wuhan, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
In view of that the exiting segmentation algorithms use only one kind of cue, but while users viewing the Web page, human brain can handle many cues and segment the pages subconsciously. So this paper considers many kinds of cues, simulates the process of user-perception, analyzes the structure of Web pages and proposes the multi-cues based page segmentation algorithm. After the segmentation, semantic information is added to every semantic block.
Keywords
Internet; information retrieval; Web page; human brain; multicues based page segmentation algorithm; semantic block; semantic information; user perception; Algorithm design and analysis; Brain modeling; Computer science; Content based retrieval; Data mining; HTML; Humans; Information retrieval; Internet; Web pages;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5363822
Filename
5363822
Link To Document