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IoT-Lite: A Lightweight Semantic Model for the Internet of Things

Bermudez-Edo, M, Elsaleh, Tarek, Barnaghi, Payam and Taylor, K (2017) IoT-Lite: A Lightweight Semantic Model for the Internet of Things In: 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 18 - 21 July 2016, Toulouse, France.

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Abstract

Over the past few years the semantics community has developed ontologies to describe concepts and relationships between different entities in various application domains, including Internet of Things (IoT) applications. A key problem is that most of the IoT related semantic descriptions are not as widely adopted as expected. One of the main concerns of users and developers is that semantic techniques increase the complexity and processing time and therefore they are unsuitable for dynamic and responsive environments such as the IoT. To address this concern, we propose IoT-Lite, an instantiation of the semantic sensor network (SSN) ontology to describe key IoT concepts allowing interoperability and discovery of sensory data in heterogeneous IoT platforms by a lightweight semantics. We propose 10 rules for good and scalable semantic model design and follow them to create IoT-Lite. We also demonstrate the scalability of IoT-Lite by providing some experimental analysis, and assess IoT-Lite against another solution in terms of round time trip (RTT) performance for query-response times.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Bermudez-Edo, MUNSPECIFIEDUNSPECIFIED
Elsaleh, TarekT.Elsaleh@surrey.ac.ukUNSPECIFIED
Barnaghi, PayamP.Barnaghi@surrey.ac.ukUNSPECIFIED
Taylor, KUNSPECIFIEDUNSPECIFIED
Date : 16 January 2017
Identification Number : 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0035
Copyright Disclaimer : © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Uncontrolled Keywords : Internet of Things; Semantics; Linked Sensor Data; Knowledge Management
Related URLs :
Depositing User : Melanie Hughes
Date Deposited : 12 Jul 2017 10:20
Last Modified : 12 Jul 2017 10:20
URI: http://epubs.surrey.ac.uk/id/eprint/841613

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