A classification for content adaptation system

Md Fudzee, M. and Abawajy, Jemal 2008, A classification for content adaptation system, in The 10th International Conference on Information Integration and Web-based Applications & Services : iiWAS 2008, ACM - Association for Computing Machinery, New York, N.Y., pp. 426-429.

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Title A classification for content adaptation system
Author(s) Md Fudzee, M.
Abawajy, JemalORCID iD for Abawajy, Jemal orcid.org/0000-0001-8962-1222
Conference name International Conference on Information Integration and Web-based Applications & Services (10th : 2008 : Linz, Austria)
Conference location Linz, Austria
Conference dates 24-26 November, 2008
Title of proceedings The 10th International Conference on Information Integration and Web-based Applications & Services : iiWAS 2008
Editor(s) Kotsis, Gabriele
Taniar, David
Pardede, Eric
Khalil, Ismail
Publication date 2008
Conference series Information Integration and Web-based Applications and Services Conference
Start page 426
End page 429
Total pages 4
Publisher ACM - Association for Computing Machinery
Place of publication New York, N.Y.
Summary Content adaptation is an attractive solution for the ever growing desktop based Web content delivered to the user via heterogeneous devices, in order to provide acceptable experience while surfing the Web. Bridging the mismatch between the rich content and the user device's resources (display, processing, navigation, network bandwidth, media support) without user intervention requires a proactive behavior. While content adaptation poses multitude of benefits, without proper strategies, adaptation will not be truly optimized. There have been many projects focused on content adaptation that have been designed with different goals and approaches. In this paper, we introduce a comprehensive classification for content adaptation system. The classification is used to group the approaches applied in the implementation of existing content adaptation system. Survey on some content adaptation systems also been provided. We also present the research spectrum in content adaptation and discuss the challenges.
ISBN 9781605583495
Language eng
Field of Research 080604 Database Management
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
HERDC collection year 2008
Copyright notice ©2008, Association for Computing Machinery (ACM)
Persistent URL http://hdl.handle.net/10536/DRO/DU:30018237

Document type: Conference Paper
Collection: School of Engineering and Information Technology
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