2019
DOI: 10.1007/978-3-030-04173-1_4
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Runtime Adaptability of Ambient Intelligence Systems Based on Component-Oriented Approach

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Cited by 3 publications
(3 citation statements)
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“…The ontology‐based system can be used in conjunction with a variability‐guided system 30 or stand‐alone. In other words, it can operate as a system integrated into the feature model or OVM mentioned in Section 6.1, or it can exist as a stand‐alone system where all the domain information will be added to the ontology model so that the properties of the variability‐guided part are also embedded into the ontology.…”
Section: Suggested Vision For Gateway Developmentmentioning
confidence: 99%
See 1 more Smart Citation
“…The ontology‐based system can be used in conjunction with a variability‐guided system 30 or stand‐alone. In other words, it can operate as a system integrated into the feature model or OVM mentioned in Section 6.1, or it can exist as a stand‐alone system where all the domain information will be added to the ontology model so that the properties of the variability‐guided part are also embedded into the ontology.…”
Section: Suggested Vision For Gateway Developmentmentioning
confidence: 99%
“…One of our previous work is about the runtime adaptability of AmI systems. We describe how a component‐oriented AmI system reacts to changing conditions at runtime in Reference 30. Runtime adaptability is performed by a runtime configurator based on an ontology‐based mechanism.…”
Section: Introductionmentioning
confidence: 99%
“…Sometimes, componentbased approaches also depend on other paradigms for modeling the problem and the solution spaces. For example, the development of ambient intelligent systems [8] is guided by domain-specific notions and constructs that quickly map to existing components.…”
Section: Related Workmentioning
confidence: 99%