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• W2907341877 abstract "Technological improvements of the Internet and connected devices cause increased user expectations. People want to be offered different services in nearly every aspect of their lives. It is a key point that these services can be reached seamlessly and should be dynamically available conforming to the active daily life of today’s people. This can be achieved by having intelligent environments along with smart appliances and applications. The concept of ambient intelligence arises from this need to react with users at runtime and keep providing real-time services under changing conditions. This chapter introduces a component-oriented ontology-based approach to develop runtime adaptable ambient intelligenceAmbient Intelligence (AmI) systems. In this approach, the adaptability mechanism is enabled through a component-oriented method with variability-related capabilities. The outcome supports the find-and-integrate method from the idea formation to the executable system, and thus reducing the need for heavy processes for development. Intelligence is provided through ontology modeling that supports repeatability of the approach in different domains, especially when used in interaction with component variability. In this context, an example problem exploiting the variability in the density of a smart stadium network is used to illustrate the application of the component-driven approach." @default.
• W2907341877 created "2019-01-11" @default.
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• W2907341877 date "2019-01-01" @default.
• W2907341877 modified "2023-09-27" @default.
• W2907341877 title "Runtime Adaptability of Ambient Intelligence Systems Based on Component-Oriented Approach" @default.
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• W2907341877 doi "https://doi.org/10.1007/978-3-030-04173-1_4" @default.
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