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Enhancing RFID system configuration through semantic modelling

Part of: Ontologies and Standards for Intelligent Systems

Published online by Cambridge University Press:  27 July 2021

Eleni Tsalapati Open the ORCID record for Eleni Tsalapati [Opens in a new window] ,
James Tribe ,
Paul A. Goodall ,
Robert I. Young ,
Thomas W. Jackson  and
Andrew A. West
Eleni Tsalapati
Affiliation:
Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Epinal Way, Loughborough LE11 3TU, UK; e-mail: [email protected], [email protected], [email protected], [email protected], [email protected]
James Tribe
Affiliation:
Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Epinal Way, Loughborough LE11 3TU, UK; e-mail: [email protected], [email protected], [email protected], [email protected], [email protected]
Paul A. Goodall
Affiliation:
Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Epinal Way, Loughborough LE11 3TU, UK; e-mail: [email protected], [email protected], [email protected], [email protected], [email protected]
Robert I. Young
Affiliation:
Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Epinal Way, Loughborough LE11 3TU, UK; e-mail: [email protected], [email protected], [email protected], [email protected], [email protected]
Thomas W. Jackson
Affiliation:
School of Business and Economics, Loughborough University, Epinal Way, Loughborough LE11 3TU, UK; e-mail: [email protected]
Andrew A. West
Affiliation:
Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Epinal Way, Loughborough LE11 3TU, UK; e-mail: [email protected], [email protected], [email protected], [email protected], [email protected]
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Abstract

Radio-Frequency Identification (RFID) system technology is a key element for the realization of the Industry 4.0 vision, as it is vital for tasks such as entity tracking, identification and asset management. However, the plethora of RFID systems’ elements in combination with the wide range of factors that need to be taken under consideration along with the interrelations amongst them, make the problem of identification and design of the right RFID system, based on users’ needs particularly complex. The research outlined in this paper seeks to optimize this process by developing an integrating schema that will encapsulate this information in a form that is both human and machine processible. Human readability will allow a shared understanding of the RFID technology domain; machine readability, automated reasoning engines to perform logical deduction techniques returning implicit information. For this purpose, the novel RFID System Configuration Ontology (RFID SCO) is developed. Hence, non-RFID experts are enabled to identify the most suitable RFID system according to their needs and RFID experts to retrieve all the relevant information required for the efficient design of the corresponding RFID system. The RFID SCO is validated and tested successfully against real-world scenarios provided by domain experts.

Type
Research Article
Information
The Knowledge Engineering Review , Volume 36 , 2021 , e11
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Copyright
© The Author(s), 2021. Published by Cambridge University Press

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