2009
DOI: 10.1007/978-3-642-04170-9_13
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Modelling User-Centric Pervasive Adaptive Systems – The REFLECT Ontology

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Cited by 7 publications
(4 citation statements)
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“…Reflective computing uses psycho-physiological measurements to determine emotional, cognitive and physical user states that are further used to tune the system reaction. It is based on high-level modeling described in the reflective ontology (described elsewhere in detail [9]). The generic framework allows for high-level programming and deployment of a number of reflective applications featuring multiple levels of adaptation and pervasive behavior.…”
Section: Resultsmentioning
confidence: 99%
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“…Reflective computing uses psycho-physiological measurements to determine emotional, cognitive and physical user states that are further used to tune the system reaction. It is based on high-level modeling described in the reflective ontology (described elsewhere in detail [9]). The generic framework allows for high-level programming and deployment of a number of reflective applications featuring multiple levels of adaptation and pervasive behavior.…”
Section: Resultsmentioning
confidence: 99%
“…It is theoretically based on the reflect computing that further relies on biocybernetic loop as a basic processing principle. For system modeling purposes, the reflective ontology has been defined as a comprehensive classification methodology that identifies major concepts, entities and their rules, roles and relations [9]. All that created a theoretical background for design and development of the corresponding REFLECT framework, a middleware for pervasive adaptive applications.…”
Section: Reflective Approachmentioning
confidence: 99%
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“…The reflective ontology has been specified [Kock et al 2009] for this purpose: to classify the problem space, construct major entities, and describe the relations between structures. For the ontology description the UML (Unified Modeling Language) is used [Kogut 2002] as a widely accepted method for high-level software modeling.…”
Section: Reflective Ontologymentioning
confidence: 99%