Reference : A Rule-based Contextual Reasoning Platform for Ambient Intelligence environments

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/5921

Title :	A Rule-based Contextual Reasoning Platform for Ambient Intelligence environments
Language :	English
Author, co-author :	Moawad, Assaad [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Bikakis, Antonis [> >]
	Caire, Patrice [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Nain, Grégory [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Le Traon, Yves [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	1-Jul-2013
Main document title :	Theory, Practice, and Applications of Rules on the Web
Publisher :	springer
Collection and collection volume :	8035
Pages :	158-172
Peer reviewed :	Yes
Audience :	International
Event name :	7th International Symposium, RuleML 2013
Event date :	July 2013
Event place (city) :	seattle, WA,
Event country :	USA
Keywords :	[en] contextual reasoning, ; system development ; Ambient Intelligence, ; distributed reasoning,
Abstract :	[en] 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 rea- son with imperfect context information. Previously we introduced Con- textual Defeasible Logic (CDL) as a contextual reasoning model that addresses most of these challenges using the concepts of context, map- pings 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 com- munication, 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.
Permalink :	http://hdl.handle.net/10993/5921

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