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

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/51615

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51615

Title:	Applying Semantic Segment Detection to Enhance Web Page Presentation on the Mobile Internet
Authors:	Yang,SJH;Zhang,J;Tsai,STC;Huang,JJS
Contributors:	資訊工程學系
Keywords:	ACCESSIBILITY
Date:	2011
Issue Date:	2012-03-27 18:57:31 (UTC+8)
Publisher:	國立中央大學
Abstract:	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 semantic-retained formats suitable to be displayed on handheld devices.
Relation:	JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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