Web content adaptation for mobile device: A fuzzy-based approach

Jeff J.S. Huang; Stephen J.H. Yang; Zac S.C. Chen; Frank C.C. Wu

Web content adaptation for mobile device: A fuzzy-based approach

Jeff J.S. Huang, Stephen J.H. Yang, Zac S.C. Chen, Frank C.C. Wu

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

While HTML will continue to be used to develop Web content, how to effectively and efficiently transform HTML-based content automatically into formats suitable for mobile devices remains a challenge. In this paper, we introduce a concept of coherence set and propose an algorithm to automatically identify and detect coherence sets based on quantified similarity between adjacent presentation groups. Experimental results demonstrate that our method enhances Web content analysis and adaptation on the mobile Internet.

Original language	English
Pages (from-to)	102-122
Number of pages	21
Journal	Knowledge Management and E-Learning
Volume	4
Issue number	1
State	Published - Mar 2012

Keywords

Coherence set
Content adaptation
Mobile content delivery

Cite this

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AB - While HTML will continue to be used to develop Web content, how to effectively and efficiently transform HTML-based content automatically into formats suitable for mobile devices remains a challenge. In this paper, we introduce a concept of coherence set and propose an algorithm to automatically identify and detect coherence sets based on quantified similarity between adjacent presentation groups. Experimental results demonstrate that our method enhances Web content analysis and adaptation on the mobile Internet.

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KW - Mobile content delivery

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Web content adaptation for mobile device: A fuzzy-based approach

Abstract

Keywords

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