The context toolkit: aiding the development of context-enabled applications
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Toward an OSGi-Based Infrastructure for Context-Aware Applications
IEEE Pervasive Computing
Efficiently Managing Context Information for Large-Scale Scenarios
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
A Metamodel Approach to Context Information
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
An ontology-based context management and reasoning process for UbiComp applications
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Domain-based context management for dynamic and evolutionary environments
Proceedings of the 4th on Middleware doctoral symposium
Journal of Ambient Intelligence and Smart Environments
Uma abordagem de MDA para gerenciamento de handover ciente de contexto e embasado por feedback
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
Journal of Ambient Intelligence and Smart Environments
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Context-awareness is a key technology for adaptive software systems. While past and recent research effort investigated the gathering of low-level information, implementation- and domain-driven approaches for context frameworks and conceptual models of context, vertical approaches combining the aspects of modeling, and implementation are still missing. In this paper, we propose a scalable and distributed context service for integrating heterogeneous context sources in large-scale mobile environments based on a layered context model enabling the modeling and support of multiple domain-specific context models. We implemented an adaptive multimedia messaging system on top of a 4G mobile communication testbed which supports the context-dependent selection of codecs and communication modes to validate our approach.