Enriching a Situation Awareness Framework for IoT with Knowledge Base and Reasoning Components

Kolbe, Niklas; Zaslavsky, Arkady; Kubler, Sylvain; Robert, Jérémy; Le Traon, Yves

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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.

2017 • In Modeling and Using Context

Peer reviewed

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https://hdl.handle.net/10993/31792

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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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Bibliography

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