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Enriching a Situation Awareness Framework for IoT with Knowledge Base and Reasoning Components
Kolbe, Niklas; Zaslavsky, Arkady; Kubler, Sylvain et al.
2017In Modeling and Using Context
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Keywords :
Context space theory; Situation awareness; Situation theory; Ontology; O-MI/O-DF; Context adaptation
Abstract :
[en] Theimportanceofsystem-levelcontext-andsituationaware- ness increases with the growth of the Internet of Things (IoT). This paper proposes an integrated approach to situation awareness by providing a semantically rich situation model together with reliable situation infer- ence based on Context Spaces Theory (CST) and Situation Theory (ST). The paper discusses benefits of integrating the proposed situation aware- ness framework with knowledge base and efficient reasoning techniques taking into account uncertainty and incomplete knowledge about situa- tions. The paper discusses advantages and impact of proposed context adaptation in dynamic IoT environments. Practical issues of two-way mapping between IoT messaging standards and CST are also discussed.
Disciplines :
Computer science
Author, co-author :
Kolbe, Niklas ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Zaslavsky, Arkady
Kubler, Sylvain ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Robert, Jérémy ;  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)
External co-authors :
yes
Language :
English
Title :
Enriching a Situation Awareness Framework for IoT with Knowledge Base and Reasoning Components
Publication date :
July 2017
Event name :
The Tenth International and Interdisciplinary Conference on Modeling and Using Context
Event date :
from 20-06-2017 to 23-06-2017
Main work title :
Modeling and Using Context
Peer reviewed :
Peer reviewed
European Projects :
H2020 - 688203 - bIoTope - Building an IoT OPen innovation Ecosystem for connected smart objects
Funders :
CE - Commission Européenne [BE]
Available on ORBilu :
since 23 July 2017

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