Supporting Pervasive Computing Applications With Active Context Fusion and Semantic Context Delivery

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Executive Summary

Future pervasive computing applications are envisioned to adapt the applications' behaviors by utilizing various contexts of an environment and its users. Such context information may often be ambiguous and also heterogeneous, which make the delivery of unambiguous context information to real applications extremely challenging. Thus, a significant challenge facing the development of realistic and deployable context-aware services for pervasive computing applications is the ability to deal with these ambiguous contexts. In this paper, the authors propose a resource optimized quality assured context mediation framework based on efficient context-aware data fusion and semantic-based context delivery.

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