Reference : R-CoRe: A Rule-based Contextual Reasoning Platform for AmI

	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/10993/10080

Title :	R-CoRe: A Rule-based Contextual Reasoning Platform for AmI
Language :	English
Author, co-author :	Moawad, Assaad [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Bikakis, Antonis [University College London - UCL > Department of Information Studies]
	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 :	Jul-2013
Main document title :	Joint Proceedings of the 7th International Rule Challenge, the Special Track on Human Language Technology and the 3rd RuleML Doctoral Consortium hosted at the 8th International Symposium on Rules (RuleML2013)
Collection and collection volume :	Vol-1004
Peer reviewed :	Yes
On invitation :	No
Audience :	International
ISBN :	ISSN 1613-0073
Event name :	RuleML@ChallengeEnriched 2013
Event date :	July 11 -13, 2013
Keywords :	[en] contextual reasoning ; distributed reasoning ; Ambient Intelligence ; system development
Abstract :	[en] In this paper we present R-CoRe; a rule-based contextual reasoning platform for Ambient Intelligence environments. R-CoRe integrates Contextual Defeasible Logic (CDL) and Kevoree, a component-based software platform for Dynamically Adaptive Systems. Previously, we explained how this integration enables to overcome several reasoning and technical issues that arise from the imperfect nature of context knowledge, the open and dynamic nature of Ambient Intelligence environments, and the restrictions of wireless communications. Here, we focus more on technical aspects related to the architecture of R-Core, and demonstrate its use in Ambient Assisted Living.
Funders :	The present research is supported by the National Research Fund, Luxembourg, CoPAInS project (code: CO11/IS/1239572)
Name of the research project :	R-AGR-0688-1 > C11/IS/1239572 : COPAINS > 01/01/2012 - 31/12/2014 > LE TRAON Yves
Permalink :	http://hdl.handle.net/10993/10080

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