There is a high interest on context-aware computing expressed by the pervasive computing corninunit)! which considers context as a key to design more adaptive applications. Due to this interest, a huge amount of contributions have been made in the $eld as we can notice from the increasing amount of publications on context and context-aware computing, However; the user interested in integrating conte.rt in its specijic application will rapidlji find himself in a jungle of various tools and techniques. This paper aims at structuring this infomation by providing a survey on the main context-aware categorization, acquisition and modeling techniques. "Main" refers to the most promising techniques in terms of their genericity in a way that they can be used in various application domains. This work tends to provide a guide for the pervasive computing community in order to select the best technique to use in a speciJc application or -more interesting-to justifj, the development of a new one.
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