JISE


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Journal of Information Science and Engineering, Vol. 27 No. 2, pp. 697-713


Applying Semantic Segment Detection to Enhance Web Page Presentation on the Mobile Internet

STEPHEN J. H. YANG1,+, JIA ZHANG2, STELLA T. C. TSAI1 AND JEFF J. S. HUANG1
1Department of Computer Science and Information Engineering 
National Central University 
Chungli, 320 Taiwan 
2Department of Computer Science 
Northern Illinois University 
DeeKalb, IL 60115-2828, U.S.A.

    To facilitate wide adoption of handheld devices for mobile Internet access, it is important to enable the “develop once and use everywhere” concept. This means that a Web page can be developed in HTML for presentation on desktop machines, and then be automatically adapted and displayed on any devices including handheld devices. In this paper, we present a mediator Web service that automatically adapts a Web page into suitable formats based on receiving devices. Our underpinning is a hierarchical semantic meta model associated with a semantic ontology. They guide in partitioning a Web page into semantically coherent segments, which refer to atomic units encapsulating semantically coherent elements in a Web page. Our experimental results demonstrate that our semantic segment detection algorithm helps in transforming Web pages into semanticretained formats suitable to be displayed on handheld devices.

Keywords: mobile internet, handheld devices, semantic segment, web page adaptation, page adaptation

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