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Enriching a situation awareness framework for IoT with knowledge base and reasoning components
conference contribution
posted on 2017-01-01, 00:00 authored by N Kolbe, Arkady ZaslavskyArkady Zaslavsky, S Kubler, J Robert, Y Le TraonThe importance of system-level context- and situation awareness 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 inference based on Context Spaces Theory (CST) and Situation Theory (ST). The paper discusses benefits of integrating the proposed situation awareness framework with knowledge base and efficient reasoning techniques taking into account uncertainty and incomplete knowledge about situations. 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.
History
Event
French Association for Context. Conference (10th : 2017 : Paris, France)Volume
LNAI 10257Series
French Association for Context ConferencePagination
41 - 54Publisher
SpringerLocation
Paris, FrancePlace of publication
Cham, SwitzerlandPublisher DOI
Start date
2017-06-20End date
2017-06-23ISSN
0302-9743eISSN
1611-3349ISBN-13
9783319578361Language
engPublication classification
E Conference publication; E1.1 Full written paper - refereedCopyright notice
2017, Springer International Publishing AGEditor/Contributor(s)
P Brézillon, R Turner, C PencoTitle of proceedings
CONTEXT 2017 : Proceedings of the 10th International and Interdisciplinary Conference on Modeling and Using ContextUsage metrics
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