Abstract
To realise an Ambient Intelligence environment, it is paramount that applications can dispose of information about the context in which they operate, preferably in a very general manner. For this purpose various types of information should be assembled to form a representation of the context of the device on which aforementioned applications run. To allow interoperability in an Ambient Intelligence environment, it is necessary that the context terminology is commonly understood by all participating devices. In this paper we propose an adaptable and extensible context ontology for creating context-aware computing infrastructures, ranging from small embedded devices to high-end service platforms. The ontology has been designed to solve several key challenges in Ambient Intelligence, such as application adaptation, automatic code generation and code mobility, and generation of device specific user interfaces.
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Preuveneers, D. et al. (2004). Towards an Extensible Context Ontology for Ambient Intelligence. In: Markopoulos, P., Eggen, B., Aarts, E., Crowley, J.L. (eds) Ambient Intelligence. EUSAI 2004. Lecture Notes in Computer Science, vol 3295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30473-9_15
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DOI: https://doi.org/10.1007/978-3-540-30473-9_15
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