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Knowledge Representation in the Internet of Things: Semantic Modelling and its Applications

Wang, W, De, S, Cassar, G and Moessner, K (2013) Knowledge Representation in the Internet of Things: Semantic Modelling and its Applications Automatika – Journal for Control, Measurement, Electronics, Computing and Communications, 54 (4). pp. 388-400.

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Abstract

Semantic modelling provides a potential basis for interoperating among different systems and applications in the Internet of Things (IoT). However, current work has mostly focused on IoT resource management while not on the access and utilisation of information generated by the “Things”. We present the design of a comprehensive and lightweight semantic description model for knowledge representation in the IoT domain. The design follows the widely recognised best practices in knowledge engineering and ontology modelling. Users are allowed to extend the model by linking to external ontologies, knowledge bases or existing linked data. Scalable access to IoT services and resources is achieved through a distributed, semantic storage design. The usefulness of the model is also illustrated through an IoT service discovery method.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
AuthorsEmailORCID
Wang, WUNSPECIFIEDUNSPECIFIED
De, SUNSPECIFIEDUNSPECIFIED
Cassar, GUNSPECIFIEDUNSPECIFIED
Moessner, KUNSPECIFIEDUNSPECIFIED
Date : 1 October 2013
Identification Number : 10.7305/automatika.54-4.414
Uncontrolled Keywords : Internet of Things, Knowledge Representation, Ontology Engineering, Distributed Service Storage
Additional Information : Copyright © 2013 The Authors. This is an open access article distributed under a Creative Commons License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Depositing User : Symplectic Elements
Date Deposited : 28 Aug 2013 10:47
Last Modified : 09 Jun 2014 13:45
URI: http://epubs.surrey.ac.uk/id/eprint/794745

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