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Context-aware applications are becoming commonplace in everyday life thanks to recent advances in mobile devices, sensor capabilities and wireless communication networks. However, making the manipulation of context information efficient is still an important issue. Taking into account the quality of context data becomes a corner stone of an efficient context management. In this paper, we argue for...
The research presented in this paper has as main purpose the conception of a mechanism to control the adaptations the context of component-based applications in Ubiquitous Computing, considering the context produced by monitored information, semantic information and inferences from these informations. The premise is to culminate in a model of adaptation, which can be used both by middleware services,...
Contextual Information is proving to be not only an additional exploitable information source for improving entity and situational estimates in certain Information Fusion systems, but can also be the entire focus of estimation for such systems as those directed to Ambient Intelligence (AI) and Context-Aware(CA) applications. This paper will discuss the role(s) of Contextual Information (CI) in a wide...
Context data-driven approach refers to the process of collecting and storing context data from a wide range of context sources as sensors and Web services. This approach differs from existing context-aware applications, where context models and applications are closely related and ignore how the context is derived from sources and interpreted. In this paper, we propose a context data model based on...
Context-aware application should behave suitably according to the changing context of the pervasive computing environment. Several programming paradigms and languages have been proposed to facilitate development of context-aware application, but they are either lack of sufficient flexibility or somewhat complex to program. A table-driven programming paradigm is proposed in this paper to overcome shortcomings...
It is sometimes necessary to operate on data having different sets of attributes. It can be caused by the fact that the data come from different sources or that we collected different amount of information about different real-world entities. In such cases a unification of the data to be stored into tables causes either data loss or too frequent changes in the table/database layout. Therefore we propose...
Context-aware applications rely on models of the physical world. Within the Nexus project, we envision a World Wide Space which provides the conceptual and technological framework for integrating and sharing such context models in an open, global platform of context providers. In our ongoing research we tackle important challenges in such a platform including distributed processing of streamed context...
Context modelling approaches differ in what concepts can be captured by application designers, in the expressive power of the context models, in the support they can provide for reasoning about context, and in the way they facilitate software engineering of context-aware applications. In this paper we respond to the challenge of CoMoRea'09 and show how the Context Modelling Language (CML) and the...
Context-awareness is a key issue in pervasive computing. Context-aware applications are prone to the context consistency problem, where applications are confronted with conflicting contexts and cannot decide how to adapt themselves. In pervasive computing environments, users are often willing to accept certain degree of context inconsistency, as long as it can reduce the consistency maintenance cost,...
In smart living spaces, a reliable context-aware application must adapt to the variable environment and should function to complete the user's requirements. Therefore, if a context-aware application is to achieve the user's requirements smoothly, it must understand the environment status according to trustworthy context information. However, the context information influenced by the environment status...
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