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The area of context-aware computing has received much attention in the last decade. However, many systems to determine a user's context are focused on integrating a confined set of sensors into their decision-making algorithms, and lack extensibility for new and novel sources of context information. This limitation however has often resulted in monolithic software systems, reasoning on the user's context from a static set of predefined rules. Therefore, most of these systems cannot adapt to the user during runtime, and have not found wide adoption in reality. Unlike the existing approaches, the authors present a concept for a context-aware system circumventing these limitations by providing generic abstraction layers among its components.
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