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Using Ontology and Standard Middleware for integrating IoT based in the Industry 4.0⁎⁎This work was conducted during a scholarship supported by the International Cooperation Program PROBRAL CAPES/DAAD at the University of Muenster. Financed by CAPES Brazilian Federal Agency for Support and Evaluation of Graduate Education within the Ministry of Education of Brazil
Adoption of semantic technologies in the context of automation systems is growing. Semantic technologies can contribute and intensify the machine-to-machine communication, and it has been allowing each time more the collaboration between human and machines. In this sense, semantic technologies have...
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Published in: | IFAC-PapersOnLine 2018, Vol.51 (10), p.169-174 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Adoption of semantic technologies in the context of automation systems is growing. Semantic technologies can contribute and intensify the machine-to-machine communication, and it has been allowing each time more the collaboration between human and machines. In this sense, semantic technologies have been contributing to adoption of Cyber Physical Systems in the Industry 4.0. In this context, there are plenty of data being generated that has to be integrated between the system components. However, it is important to provide a manner to integrate these objects in an easy and understandable way for the users. This paper presents how it is possible to map industrial elements into a semantic model in order to support services and, also, to allow the communication of these elements with the physical/real system through an IoT middleware. For this proposal, an ontology has been developed as well as an extension of a consolidate IoT middleware to support using these models. The proposed ideas are being evaluated with some industrial case studies and some of the preliminary results are described in the paper. |
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ISSN: | 2405-8963 2405-8963 |
DOI: | 10.1016/j.ifacol.2018.06.256 |