Abstract
One of the most important challenges to be confronted in Ambient Intelligent (AmI) systems is to automate routine tasks on behalf of users. In this work, we confront this challenge presenting a novel approach based on models at runtime. This approach proposes a context-adaptive task model that allows routine tasks to be specified in an understandable way for users, facilitating their participation in the specification. These tasks are described according to context, which is specified in an ontology-based context model. Both the context model and the task model are also used at runtime. The approach provides a software infrastructure capable of automating the routine tasks as they were specified in these models by interpreting them at runtime.
This work has been developed with the support of MEC under the project SESAMO TIN2007-62894 and co financed by FEDER, in the grants’ program FPU.
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Serral, E., Valderas, P., Pelechano, V. (2010). Automating Routine Tasks in AmI Systems by Using Models at Runtime. In: de Ruyter, B., et al. Ambient Intelligence. AmI 2010. Lecture Notes in Computer Science, vol 6439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16917-5_1
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DOI: https://doi.org/10.1007/978-3-642-16917-5_1
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