A Rule-Based Contextual Reasoning Platform for Ambient Intelligence Environments
- Cite this paper as:
- Moawad A., Bikakis A., Caire P., Nain G., Le Traon Y. (2013) A Rule-Based Contextual Reasoning Platform for Ambient Intelligence Environments. In: Morgenstern L., Stefaneas P., Lévy F., Wyner A., Paschke A. (eds) Theory, Practice, and Applications of Rules on the Web. RuleML 2013. Lecture Notes in Computer Science, vol 8035. Springer, Berlin, Heidelberg
The special characteristics and requirements of intelligent environments impose several challenges to the reasoning processes of Ambient Intelligence systems. Such systems must enable heterogeneous entities operating in open and dynamic environments to collectively reason with imperfect context information. Previously we introduced Contextual Defeasible Logic (CDL) as a contextual reasoning model that addresses most of these challenges using the concepts of context, mappings and contextual preferences. In this paper, we present a platform integrating CDL with Kevoree, a component-based software framework for Dynamically Adaptive Systems. We explain how the capabilities of Kevoree are exploited to overcome several technical issues, such as communication, information exchange and detection, and explain how the reasoning methods may be further extended. We illustrate our approach with a running example from Ambient Assisted Living.
Keywordscontextual reasoning distributed reasoning Ambient Intelligence system development
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