A Framework for Context Modeling in Adaptive Web Applications

نویسندگان

  • Michael Hinz
  • Stefan Pietschmann
  • Zoltán Fiala
چکیده

Modern Web systems that provide content to heterogeneous user groups using different devices have to deal with varying context information to support context-awareness. Accomplishing this requirement necessitates sensing, processing, and representing that information. Still, up to now there is a lack of reusable solutions for efficient context management. Therefore, this paper presents a component-based extensible framework for modeling context information that can be effectively used for adapting Web applications. The framework allows for faster development and deployment of contextaware adaptive Web applications and provides a set of modeling components supporting important application domains such as location-based services, device independence, and personalization. Furthermore, in order to support the addition of further context modeling techniques, it provides generic extension mechanisms.

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تاریخ انتشار 2006