Reference : R-CoRe: A Rule-based Contextual Reasoning Platform for AmI
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/10080
R-CoRe: A Rule-based Contextual Reasoning Platform for AmI
English
Moawad, Assaad mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Bikakis, Antonis mailto [University College London - UCL > Department of Information Studies]
Caire, Patrice mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Nain, Grégory mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Le Traon, Yves mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Jul-2013
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)
Vol-1004
Yes
No
International
ISSN 1613-0073
RuleML@ChallengeEnriched 2013
July 11 -13, 2013
[en] contextual reasoning ; distributed reasoning ; Ambient Intelligence ; system development
[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.
The present research is supported by the National Research Fund, Luxembourg, CoPAInS project (code: CO11/IS/1239572)
http://hdl.handle.net/10993/10080

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