A context-driven content adaptation planner for improving mobile internet accessibility

Stephen J.H. Yang, Jia Zhang, Angus F.M. Huang, Jeffrey J.P. Tsai, Philip S. Yu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper presents our design and development of a context-driven content adaptation planner, which dynamically transforms requested Web content into a proper format conforming to receiving contexts (e.g., access condition, network connection, and receiving device). Aiming to establish a semantic foundation for content adaptation, we apply description logics (DLs) to formally define context profiles and requirements and automate content adaptation decision. In addition, the computational overhead caused by content adaptation can be moderately decreased through the reduction of the size of adapted content.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Web Services, ICWS 2008
Pages88-95
Number of pages8
DOIs
StatePublished - 2008
EventIEEE International Conference on Web Services, ICWS 2008 - Beijing, China
Duration: 23 Sep 200826 Sep 2008

Publication series

NameProceedings of the IEEE International Conference on Web Services, ICWS 2008

Conference

ConferenceIEEE International Conference on Web Services, ICWS 2008
Country/TerritoryChina
CityBeijing
Period23/09/0826/09/08

Keywords

  • Adaptation rules
  • Content adaptation
  • Context
  • Description logics
  • Mobile Internet

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