Structured Context Prediction: A Generic Approach

Abstract : Context-aware applications and middleware platforms are evolving into major driving factors for pervasive systems. The ability to also make accurate assumptions about future contexts further enables such systems to proactively adapt to upcoming situations. However, the provision of a reusable system component to facilitate the development of such future-context-aware applications is still challenging - as it requires to be generic but, at the same time, as efficient and accurate as possible. To address these requirements, this paper presents the approach of Structured Context Prediction which constitutes a framework to facilitate the application of existing prediction methods. It allows application developers to integrate domain-specific knowledge by creating a customized prediction model at design time and to select, implement and combine prediction methods for the intended purpose. Feasibility is evaluated by applying a prototype system component to two mobile application scenarios, showing that both high accuracy and efficiency are possible.
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Matthias Meiners, Sonja Zaplata, Winfried Lamersdorf. Structured Context Prediction: A Generic Approach. 10th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS) / Held as part of International Federated Conference on Distributed Computing Techniques (DisCoTec), Jun 2010, Amsterdam, Netherlands. pp.84-97, ⟨10.1007/978-3-642-13645-0_7⟩. ⟨hal-01061629⟩

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