Sandra Haseloff

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Information logistics aims to optimize information supply with regard to various dimensions according to users’ demands. One of the dimensions which significantly affect information demands and their optimized fulfillment is the situation of entities or, in other words, the dimension of context. The pieces of information that are relevant to a user and the(More)
Context prediction is the task of inferring information about the progression of an observed context time series based on its previous behaviour. Prediction methods can be applied at several abstraction levels in the context processing chain. In a theoretical analysis as well as by means of experiments we show that the nature of the input data, the quality(More)
The ability to predict future contexts significantly expands the possibilities of context-aware computing applications. However, an incorrect prediction may also mislead the application and may result in inappropriate application behaviour. We study influences on the prediction accuracy and propose a novel approach to context prediction in ubiquitous(More)
The popularization of mobile devices in the last years has led to the development of an increasing number of services. However the technical limitations of mobile devices call for services that require minimal interactions with the user and adapt their behaviors to the user’s expectations. Context-awareness has proven to facilitate personalization of(More)