Modeling Context Information in Pervasive Computing Systems

TLDR: In this article, the development of appropriate context modeling concepts for pervasive computing, which can form the basis for such a context management infrastructure is discussed, and the model overcomes problems associated with previous context models, including their lack of formality and generality, and tackles issues such as wide variations in information quality, the existence of complex relationships amongst context information and temporal aspects of context.

Abstract: As computing becomes more pervasive, the nature of applications must change accordingly. In particular, applications must become more flexible in order to respond to highly dynamic computing environments, and more autonomous, to reflect the growing ratio of applications to users and the corresponding decline in the attention a user can devote to each. That is, applications must become more context-aware. To facilitate the programming of such applications, infrastructure is required to gather, manage, and disseminate context information to applications. This paper is concerned with the development of appropriate context modeling concepts for pervasive computing, which can form the basis for such a context management infrastructure. This model overcomes problems associated with previous context models, including their lack of formality and generality, and also tackles issues such as wide variations in information quality, the existence of complex relationships amongst context information and temporal aspects of context.