<p class="MsoNormal" style="text-align: left; margin: 0cm 0cm 0pt; layout-grid-mode: char;" align="left"><span class="text"><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;">The behavior of pervasive applications depend not only on their internal state and user interactions but also on contexts sensed during their execution. In this work, we present a collaborative context-aware service platform based on hybrid context management model (enhanced CoCA). It performs reasoning and decisions based on context data, context semantics, and related rules and policies. Such data is organized into a hybrid context management model (HCoM). The platform also introduces a neighborhood collaboration mechanism to facilitate peer collaboration in order to share their resources. We have developed an initial prototype of the platform. Our preliminary test shows that the platform is a promising data independent development environment for pervasive context-aware applications and it possesses good standard of scalability.</span></span><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;"></span></p>
-A growing interest for pervasive applications and an increasing diversity of pervasive computing devices integrated in our surroundings demand incorporating context-awareness in such applications in order to protect users from being disturbed by such services while on their regular duty. The behavior of these applications should depend not only on their internal state and user interactions but also on the context sensed during their execution. Context and context awareness, therefore, are the key components of pervasive computing so as to perform tasks on behalf of users. In this paper, we propose ontology based reusable context model. The model facilitates the context reasoning by providing structure for contexts, rules and their semantics. Initial prototype of the use of the model in a multi-domain platform is created and the result obtained is promising.
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