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Entity Configuration and Context-Aware reasoNer (CAN) towards Enabling an Internet of Things Controller
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2016 (English)In: Intelligent Systems and Applications: Extended and Selected Results from the SAI Intelligent Systems Conference (IntelliSys) 2015 / [ed] Yaxin Bi, Supriya Kapoor, Rahul Bhatia, Springer, 2016, 237-258 p.Chapter in book (Refereed)
Abstract [en]

The Internet of Things (IoT) paradigm has so far been investigating into designing and developing protocols and architectures to provide connectivity anytime and anywhere for anything. IoT is currently fast forwarding towards embracing a paradigm shift namely Internet of Everything (IoE) where making intelligent decisions and providing services remains a challenge. Context plays an integral role in reasoning the collected data and to provide context-aware services and is gaining growing attention in the IoT paradigm. To this end, a Context-Aware reasoNer (CAN) has been proposed and designed in this chapter. The proposed CAN is a generic enabler and is designed to provide services based on context reasoning. Discovering and filtering entities, i.e. entity configuration, become pivotal in analysing context reasoning to provide right services to right context entities in right time. This chapter leverages the concept of entity configuration and CAN towards enabling an IoT controller. The chapter further demonstrates use cases and future research directions towards generic CAN development and facilitating context-aware services to IoE.

Place, publisher, year, edition, pages
Springer, 2016. 237-258 p.
Series
Studies in Computational Intelligence, ISSN 1860-949X ; 650
Keyword [en]
context, context-aware, Internet of Things, reasoning
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-135413DOI: 10.1007/978-3-319-33386-1_12ISBN: 978-3-319-33384-7 (print)ISBN: 978-3-319-33386-1 (print)OAI: oai:DiVA.org:su-135413DiVA: diva2:1045197
Available from: 2016-11-08 Created: 2016-11-08 Last updated: 2016-12-23Bibliographically approved

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CiteExportLink to record
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