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Context-aware systems observe the user’s current context and apply this information to the user’s benefit. When implementing context-awareness, several issues need to be considered and this paper concentrates on presenting the context information to the user. The key components needed to construct the context are identified, and a model, which allows using different visualization techniques for...

The existing personalization systems typically base their services on general user models that ignore the issue of context-awareness. This position paper focuses on developing mechanisms for cross-context reasoning of the user models, which can be applied for the context-aware per-sonalization. The reasoning augments the sparse user models by inferring the missing information from other context...

The Intelligent Systems Group’s mission is to carry out leading edge long-term research on intelligent systems technology. We concentrate on mobile and context-aware systems, data mining methods and secure programming. Our aim is to increase systematically our methodological understanding and to develop components for an intelligent environment that gives versatile services to its inhabitants.

In this paper, we examine the Multiagent Systems Engineering (MaSE) methodology and its applicability to developing organization-based multiagent systems, which are especially relevant to context aware systems. We discuss the inherent shortcomings of MaSE and then present our approach to modeling the concepts required for organizations including goals, roles, agents, capabilities, and the assig...