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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Modeling Context-Awareness in a Pervasive Computing Middleware Using Ontologies and Data Quality Profiles
verfasst von : Sandra Rodríguez-Valenzuela, Juan A. Holgado-Terriza, Plamen Petkov, Markus Helfert
Erschienen in: Evolving Ambient Intelligence
Verlag: Springer International Publishing
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Context-awareness is one of the most relevant research areas in Pervasive Computing scope. However, in more complex environments, loosely coupled data and dynamic behavior of the environment can become a source of serious problems. These problems can spread throughout whole proactive behavior and in this way make them difficult to handle. In this paper we argue that there is a lack of research done about the data quality and quality of awareness particularly in this kind of composite systems. We investigate on how to build the semantic layer of the DOHA middleware due to reach the goal of context-awareness. To achieve that we are using a data quality approach and data profiles. In addition, we use ontologies as information representation method and to carry over the information about the profiles to the pervasive environment. By doing so, we assure proper representation of the real world and we are improving semantic data and context-awareness in such environments.