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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 Traon
The 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 10257

Series

French Association for Context Conference

Pagination

41 - 54

Publisher

Springer

Location

Paris, France

Place of publication

Cham, Switzerland

Start date

2017-06-20

End date

2017-06-23

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319578361

Language

eng

Publication classification

E Conference publication; E1.1 Full written paper - refereed

Copyright notice

2017, Springer International Publishing AG

Editor/Contributor(s)

P Brézillon, R Turner, C Penco

Title of proceedings

CONTEXT 2017 : Proceedings of the 10th International and Interdisciplinary Conference on Modeling and Using Context

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