Using Description Logics for the Provision of Context-Driven Content Adaptation Services

  • Authors:

  • Stephen J.H. Yang;Jia Zhang;Jeff J.S. Huang;Jeffrey J.P. Tsai

  • Affiliations:

  • National Central University, Taiwan;Northern Illinois University, USA;National Central University, Taiwan;The University of Illinois at Chicago, USA

  • Venue:
  • International Journal of Systems and Service-Oriented Engineering
  • Year:
  • 2010

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Abstract

This article presents our design and development of a description logics-based planner for providing contextdriven content adaptation services. This approach 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 to formally define context profiles and requirements. We also propose a formal Object Structure Model as the basis of content adaptation management for higher reusability and adaptability. To automate content adaptation decision, our content adaptation planner is driven by a stepwise procedure equipped with algorithms and techniques to enable rule-based context-driven content adaptation over the mobile Internet. Experimental results prove the effectiveness and efficiency of our content adaptation planner on saving transmission bandwidth, when users are using handheld devices. By reducing the size of adapted content, we moderately decrease the computational overhead caused by content adaptation.