DocumentCode :
1845221
Title :
Enhanced Gestalt Theory Guided Web Page Segmentation for Mobile Browsing
Author :
Yang, Xin ; Shi, Yuanchun
Volume :
3
fYear :
2009
fDate :
15-18 Sept. 2009
Firstpage :
46
Lastpage :
49
Abstract :
This paper proposes a novel Web page segmentation method for mobile browsing, aiming to break a Web page into visually and semantically coherent units fitted to the limited screen size of mobile devices. We intend to simulate human’s perceptive process guided by four general laws in Gestalt theory, namely: proximity, similarity, closure and simplicity. We also present an application of adapting Web pages to mobile terminals based on segmentation. Experimental results show that the proposed method is efficient and can greatly improve segmentation accuracy.
Keywords :
Computer science; Costs; Data mining; HTML; Intelligent agent; Machine learning algorithms; Mobile computing; Personal communication networks; Psychology; Web pages; gestalt theory; mobile browsing; web page segmentation;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on
Conference_Location :
Milan, Italy
Print_ISBN :
978-0-7695-3801-3
Electronic_ISBN :
978-1-4244-5331-3
Type :
conf
DOI :
10.1109/WI-IAT.2009.227
Filename :
5285093
Link To Document :
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