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Issue title: Semantic Web of Things for Industry 4.0
Guest editors: Dhaval Thakker, Pankesh Patel, Muhammad Intizar Ali and Tejal Shah
Article type: Research Article
Authors: de Roode, Mikea; * | Fernández-Izquierdo, Albab | Daniele, Lauraa | Poveda-Villalón, Maríab | García-Castro, Raúlb
Affiliations: [a] The Netherlands Organisation for Applied Scientific Research, TNO, Netherlands. E-mails: mike.deroode@tno.nl, laura.daniele@tno.nl | [b] Ontology Engineering Group, Universidad Politécnica de Madrid, Spain. E-mails: albafernandez@fi.upm.es, mpoveda@fi.upm.es, rgarcia@fi.upm.es
Correspondence: [*] Corresponding author. E-mail: mike.deroode@tno.nl.
Abstract: The IoT landscape is characterized by a fragmentation of standards, platforms and technologies, often scattered among different vertical domains. To prevent the market to continue to be fragmented and power-less, a protocol-independent semantic layer can serve as enabler of interoperability among the various smart devices from different manufacturers that co-exist in a specific industry domain, but also across different domains. To that end, the SAREF ontology was created in 2015 with the intention to interconnect data, enabling the communication between IoT devices that use different protocols and standards. A number of industrial sectors consequently expressed their interest to extend SAREF into their domains in order to fill the gaps of the semantics not yet covered by their communication protocols. Therefore, the SAREF4INMA ontology was recently created to extend SAREF for describing the Smart Industry & Manufacturing domain. SAREF4INMA is based on several standards and IoT initiatives, as well as on real use cases, and includes classes, properties and instances specifically created to cover the industry and manufacturing domain. This work describes the approach followed to develop this ontology, specifies its requirements and also includes a practical example of how to use it.
Keywords: Industry 4.0, ontology, standard, SAREF, SAREF4INMA
DOI: 10.3233/SW-200402
Journal: Semantic Web, vol. 11, no. 6, pp. 911-926, 2020
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