| Abstract |
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Services need to adapt themselves to their computing
environment and the situation of the user to be Context-Aware Services (CASs). For their adaptation, they are in
need of specific context information, that often has to be
derived from other pieces of low-level context information.
The process of retrieving context information is highly dynamic
since appropriate context sources are often unknown
at design time and need to be discovered and understood
at runtime. This paper proposes the CoCo concept (Context
Composition) that consists of key infrastructural components
supporting the process of context retrieval and context
composition, and a graph-oriented language describing
the steps that need to be executed to compose context information.
CoCo needs an information model specifying the
semantics of the information. CoCo is able to automate the
process of context retrieving — even in heterogenous environments
— to simplify the development and deployment of
CASs and to increase their robustness.
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 Additional Information
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Citation:
Thomas Buchholz, Michael Krause, Claudia Linnhoff-Popien, Michael Schiffers,
"CoCo: Dynamic Composition of Context Information,"
mobiquitous,
pp. 335-343,
First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous'04),
2004
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