Modeling Context Information in Pervasive Compututing Systems

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Modeling Context Information in Pervasive Compututing Systems (2002)

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by Karen Henricksen , Jadwiga Indulska , Andry Rakotonirainy

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167 - 14 self

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@INPROCEEDINGS{Henricksen02modelingcontext,
    author = {Karen Henricksen and Jadwiga Indulska and Andry Rakotonirainy},
    title = {Modeling Context Information in Pervasive Compututing Systems},
    booktitle = {},
    year = {2002},
    pages = {167--180},
    publisher = {Springer}
}

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Abstract

As computing becomes more pervasive, the nature of applications must change accordingly.I n 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. 1 Mot1 at1 The emergence of new types of mobile and embedded computingdevices and developments inwireles networking are driving asO'5W in the domain of computing from the workplace and home o#ce to otherfacets of everyday life.This trend will lead to these####/) often termed pervas# e computing, in which cheap, interconnected computingdevices areubiquitous and capable ofs#W ortingusin in a range oftas)/ Itis now widely acknowledged that these#O/# of pervas# e computing technologies will require a radicaldesca ssca and that itis not st# ficient tosV(O/ extrapolate fromexis#)W des#) computing technologies [1, 2]. In particular, pervas# e computingdemands applications that are capable of operating in highly dynamic environments and of placing fewerdemands ...

Keyphrases

context information pervasive compututing system interconnected computingdevices capable ofs ortingusin pervas computingdemands application wide variation temporal aspect pervas computing pervasive computing development inwireles radicaldesca ssca complex relationship everyday life corresponding decline information quality range oftas previous context model st ficient tosv dynamic environment appropriate context modeling concept new type home ce context management infrastructure

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