Understanding and Using Context
Personal and Ubiquitous Computing
A Middleware Infrastructure for Active Spaces
IEEE Pervasive Computing
Journal of Parallel and Distributed Computing
A service-oriented middleware for building context-aware services
Journal of Network and Computer Applications
Citron: A Context Information Acquisition Framework for Personal Devices
RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
A survey of middleware for sensor networks: state-of-the-art and future directions
Proceedings of the international workshop on Middleware for sensor networks
CoWSAMI: Interface-aware context gathering in ambient intelligence environments
Pervasive and Mobile Computing
CARISMA: Context-Aware Reflective mIddleware System for Mobile Applications
IEEE Transactions on Software Engineering
Human-Computer Interaction
Context-Awareness in mobile web services
ISPA'04 Proceedings of the Second international conference on Parallel and Distributed Processing and Applications
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With the introduction of interconnected cross-platform middleware, a new area of opportunities for ubiquitous/pervasive computing has emerged. Context aware applications can be enhanced to practically and realistically incorporate multiple facets of human-machine interactions in everyday life that are not limited to a device-centered model for deducing context. In this paper, we propose that they can rather extend this model to a human-centered, device and platform independent model, based on a personal distributed application and data cloud ecosystem. For this to be achieved, webinos, a set of web runtime extensions that enable web applications and services to be used and shared consistently and securely over a broad spectrum of converged and connected devices, is used to provide this ecosystem. The webinos Context Awareness Framework described here is accessible to each webinos-enabled application. After strict policy enforcement, it can collect contextual information, either via an automatic mechanism that intercepts native calls made by webinos applications through the various webinos APIs, via an automatic polling mechanism to these APIs, or via custom, application-specific context schema extensions. It can then distribute the contextual information from its own personal cloud storage mechanism, in the form of simple, manageable and intuitive Context Objects, to and from all webinos-enabled devices owned by the same user, or even other, authorized users.