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Ontologies for Industry 4.0

Abstract

The current fourth industrial revolution, or ‘Industry 4.0’ (I4.0), is driven by digital data, connectivity, and cyber systems, and it has the potential to create impressive/new business opportunities. With the arrival of I4.0, the scenario of various intelligent systems interacting reliably and securely with each other becomes a reality which technical systems need to address. One major aspect of I4.0 is to adopt a coherent approach for the semantic communication in between multiple intelligent systems, which include human and artificial (software or hardware) agents. For this purpose, ontologies can provide the solution by formalizing the smart manufacturing knowledge in an interoperable way. Hence, this paper presents the few existing ontologies for I4.0, along with the current state of the standardization effort in the factory 4.0 domain and examples of real-world scenarios for I4.0.

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This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

References

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Agrawal, H., Chafle, G., Goyal, S., Mittal, S. & Mukherjea, S. 2008. An enhanced extract-transform-load system for migrating data in telecom billing. In IEEE International Conference on Data Engineering, 12771286.
Akbari, A., Setayeshmehr, A., Borsi, H., Gockenbach, E. & Fofana, I. 2010. Intelligent agent-based system using dissolved gas analysis to detect incipient faults in power transformers. IEEE Electrical Insulation Magazine 26(6), 2740.
Arena, D., Kiritsis, D., Ziogou, C. & Voutetakis, S. 2017. Semantics-driven knowledge representation for decision support and status awareness at process plant floors. In IEEE International Conference on Engineering, Technology and Innovation, 902908.
Atkinson, C., Cuske, C. & Dickopp, T. 2006. Concepts for an ontology-centric technology risk management architecture in the banking industry. In IEEE International Enterprise Distributed Object Computing Conference Workshops, 2121.
Bagaria, V., Rasalkar, D., Ilyas, J. & Bagaria, S. 2011. Medical applications of rapid prototyping - A new horizon. InTech Open Access.
Bayat, B., Bermejo-Alonso, J., Carbonera, J. L., Facchinetti, T., Fiorini, S., Goncalves, P., Jorge, V. A. M., Habib, M., Khamis, A., Melo, K., Nguyen, B., Olszewska, J. I., Paull, L., Prestes, E., Ragavan, V., Saeedi, S., Sanz, R., Seto, M., Spencer, B., Vosughi, A. & Li, H. 2016. Requirements for building an ontology for autonomous robots. Industrial Robot: An International Journal 43(5), 469480.
Bermejo-Alonso, J., Chibani, A., Goncalves, P., Li, H., Jordan, S., Olivares, A., Olszewska, J. I., Prestes, E., Fiorini, S. R. & Sanz, R. 2018. Collaboratively working towards ontology-based standards for robotics and automation. In IEEE International Conference on Intelligent Robots and Systems (IROS).
Bildstein, A. & Feng, J. 2018. Using ontologies for representing classifications of an information flow based matching framework for smart manufacturing. In IEEE International Conference on Engineering, Technology and Innovation, 18.
Brodsky, A., Krishnamoorthy, M., Bernstein, W. Z. and Nachawati, M. O. 2016. A system and architecture for reusable abstractions of manufacturing processes. In IEEE International Conference on Big Data, 20042013.
Bunte, A., Diedrich, A. & Niggemann, O. 2016. Integrating semantics for diagnosis of manufacturing systems. In IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 18.
Burke, R., Mussomeli, A., Laaper, S., Hartigan, M. & Sniderman, B. 2015. Smart Factory: Connecting Data, Machines, People and Processes. Technical report. Deloitte Insights.
Cagnin, R. L., Guilherme, I. R., Queiroz, J., Paulo, B. & Neto, M. F. O. 2018. A multi-agent system approach for management of industrial IoT devices in manufacturing processes. In IEEE International Conference on Industrial Informatics (INDIN), 3136.
Calzado, J., Lindsay, A., Chen, C., Samuels, G. & Olszewska, J. I. 2018. SAMI: interactive, multi-sense robot architecture. In IEEE International Symposium on Intelligent Engineering Systems, 317322.
Cecil, J., Albuhamood, S. & Cecil-Xavier, A. 2018. An Industry 4.0 cyber-physical framework for micro devices assembly. In IEEE International Conference on Automation Science and Engineering, 427432.
Cheah, Y.-N., Khoh, S. B. & Ooi, G. B. 2011. An ontological approach for program management lessons learned: case study at motorola penang design centre. In IEEE International Conference on Industrial Engineering and Engineering Management, 16121616.
Cheng, H., Zeng, P., Xue, L., Shi, Z., Wang, P. & Yu, H. 2016. Manufacturing ontology development based on Industry 4.0 demonstration production line. In IEEE International Conference on Trustworthy Systems and their Applications, 4247.
Civerchia, F., Bocchino, S., Salvadori, C., Rossi, E., Maggiani, L. & Petracca, M. 2017. Industrial Internet of Things monitoring solution for advanced predictive maintenance applications. Journal of Industrial Information Integration 7 (Supplement C), 412.
Da Xu, L., He, W. & Li, S. 2014. Internet of Things in industries: a survey. IEEE Transactions on Industrial Informatics 10(4), 22332243.
Daly, M., Grow, F., Peterson, M., Rhodes, J. & Nagel, R. 2015. Development of an automated ontology generator for analyzing customer concerns. In IEEE Systems and Information Engineering Design Symposium, 8590.
Davies, R. 2015. Smart Factory Market. Briefing September 2015, PE 568.337, European Parliament. Members’ Research Service.
de Moura Leite, A. F. C., Canciglieri, M. B., Szejka, A. L. & Canciglieri, O. Jr 2017. The reference view for semantic interoperability in integrated product development process: the conceptual structure for injecting thin walled plastic products. Journal of Industrial Information Integration 7(Supplement C), 1323.
Disi, E. O. and Zualkernan, I. A. 2009. Compliance-oriented process maps and SLA ontology to facilitate Six Sigma define phase for SLA compliance processes. In IEEE International Conference on Management and Service Science, 14.
Dobrev, M., Gocheva, D. & Batchkova, I. 2008. An ontological approach for planning and scheduling in primary steel production. In IEEE International Conference on Intelligent Systems, 6.146.19.
Drath, R. & Horch, A. 2014. Industrie 4.0: hit or hype? [industry forum]. IEEE Industrial Electronics Magazine 8(2), 5658.
Du, R., Li, Y., Shang, F. & Wu, Y. 2010. Study on ontology-based knowledge construction of petroleum exploitation domain. In IEEE International Conference on Artificial Intelligence and Computational Intelligence, 4246.
Engel, G., Greiner, T. & Seifert, S. 2018. Ontology-assisted engineering of cyber-physical production systems in the field of process technology. IEEE Transactions on Industrial Informatics 14(6), 27922802.
Fang, Y., Jiaming, Z., Yaohui, L. & Mei, G. 2016. Semantic description and link construction of smart tourism linked data based on big data. In IEEE International Conference on Cloud Computing and Big Data Analysis, 3236.
Feng, L., Chen, G., Chen, C., Chen, L. & Peng, J. 2018. Ontology faults diagnosis model for the hazardous chemical storage device. In IEEE International Conference on Cognitive Informatics and Cognitive Computing, 269274.
Fiorini, S. R., Bermejo-Alonso, J., Goncalves, P., Pignaton de Freitas, E., Olivares Alarcos, A., Olszewska, J. I., Prestes, E., Schlenoff, C., Ragavan, S. V., Redfield, S., Spencer, B. & Li, H. 2017. A suite of ontologies for robotics and automation. IEEE Robotics and Automation Magazine 24(1), 811.
Flatt, H., Koch, N., Rocker, C., Gunter, A. & Jasperneite, J. 2015. A context-aware assistance system for maintenance applications in smart factories based on augmented reality and indoor localization. In IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 14.
Grangel-Gonzalez, I., Halilaj, L., Auer, S., Lohmann, S., Lange, C. & Collarana, D. 2016. An RDF-based approach for implementing Industry 4.0 components with administration shells. In IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 18.
Guo, R. & Wu, J. 2012. Design and implementation of domain ontology-based oilfield non-metallic pipe information retrieval system. In IEEE International Conference on Computer Science and Information Processing, 813816.
Haidegger, T., Galambos, P. & Rudas, I. 2019. Robotics 4.0 - Are we there yet? In IEEE International Symposium on Intelligent Engineering Systems, 17.
Hassani, A., Medvedev, A., Haghighi, P. D., Ling, S., Indrawan-Santiago, M., Zaslavsky, A. & Jayaraman, P. P. 2018. Context-as-a-Service Platform: exchange and share context in an IoT ecosystem. In IEEE International Conference on Pervasive Computing and Communications Workshops, 385390.
Haupert, J., Bergweiler, S., Poller, P. & Hauck, C. 2014. IRAR: smart intention recognition and action recommendation for cyber-physical industry environments. In IEEE International Conference on Intelligent Environments, 124131.
Hermann, M., Pentek, T. & Otto, B. 2014. Industry 4.0: The New Industrial Revolution How Europe will Succeed. Technical report. Think Act.
Hermann, M., Pentek, T. & Otto, B. 2016. Design principles for industrie 4.0 scenarios. In IEEE Hawaii International Conference on System Sciences, 39283937.
Hildebrandt, C., Scholz, A., Fay, A., Schroder, T., Hadlich, T., Diedrich, C., Dubovy, M., Eck, C. & Wiegand, R. 2017. Semantic modeling for collaboration and cooperation of systems in the production domain. In IEEE International Conference on Emerging Technologies and Factory Automation, 18.
Hooi, Y. K., Hassan, M. F. & Ci, T. 2012. Interoperation of elements in process safety management via ontology-oriented architecture. In IEEE International Conference on Computer and Information Science, 995999.
Hoppe, T., Eisenmann, H., Viehl, A. & Bringmann, O. 2017. Shifting from data handling to knowledge engineering in aerospace industry. In IEEE International Systems Engineering Symposium, 16.
IEEE-SA, 2015. IEEE Standard Ontologies for Robotics and Automation. Available at: https://standards.ieee.org/standard/1872-2015.html [Accessed 22-October-2019].
Ivaschenko, A., Khorina, A. & Sitnikov, P. 2018. Accented visualization by augmented reality for smart manufacturing aplications. In IEEE Industrial Cyber-Physical Systems, 519522.
Ivezic, N. & Ljubicic, M. 2016. Towards a road-mapping ontology for open innovation in smart manufacturing. In IEEE International Conference on Collaboration Technologies and Systems, 7780.
Izhar, T. A. T. & Apduhan, B. O. 2017. Configuring the relationships of organizational goals based on ontology framework. In IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, 16.
Jayarathna, H. M. H. R. & Hettige, B. 2013. Agricom: a communication platform for agriculture sector. In IEEE International Conference on Industrial and Information Systems, 439444.
Jiang, P., Peng, Y. & Mair, Q. 2004. Concept mining for distributed alliance in multi-agent based virtual enterprises. In IEEE International Conference on Cybernetics and Intelligent Systems, 448453.
Jirkovsky, V., Obitko, M. & Marik, V. 2017. Understanding data heterogeneity in the context of cyber-physical systems integration. IEEE Transactions on Industrial Informatics 13(2), 660667.
Jost, J., Kirks, T. & Mattig, B. 2017. Multi-agent systems for decentralized control and adaptive interaction between humans and machines for industrial environments. In IEEE International Conference on System Engineering and Technology, 95100.
Kannengiesser, U. & Muller, H. 2013. Towards agent-based smart factories: a subject-oriented modeling approach. In IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 8386.
Kao, Y.-C. & Chen, M.-S. An agent-based distributed smart machine tool service system. In IEEE International Symposium on Computer, Communication, Control and Automation, 4144.
Kattepur, A., Dey, S. & Balamuralidhar, P. 2018. Knowledge based hierarchical decomposition of Industry 4.0 robotic automation tasks. In Annual Conference of the IEEE Industrial Electronics Society, 36653672.
Keller, R. M. 2016. Ontologies for aviation data management. In IEEE/AIAA Digital Avionics Systems Conference, 19.
Kim, S. & Lee, K. 2013. Design of the integrated monitoring framework based on ontology for analyzing the customer feedback. In IEEE International Conference on Information Science and Applications, 14.
Koetter, F., Blohm, M., Kochanowski, M., Goetzer, J., Graziotin, D. & Wagner, S. 2019. Motivations, classification and model trial of conversational agents for insurance companies. In International Conference on Agents and Artificial Intelligence, 1930.
Koppensteiner, G., Hametner, R., Paris, R., Passani, A. M. & Merdan, M. 2011. Knowledge driven mobile robots applied in the disassembly domain. In IEEE International Conference on Automation, Robotics and Applications, 5256.
Kossmann, M., Gillies, A., Odeh, M. & Watts, S. 2009. Ontology-driven requirements engineering with reference to the aerospace industry. In IEEE International Conference on the Applications of Digital Information and Web Technologies, 95103.
Kourtis, G., Kavakli, E. & Sakellariou, R. 2019. A rule-based approach founded on description logics for Industry 4.0 smart factories. IEEE Transactions on Industrial Informatics 15(9), 48884899.
Lee, J., Bagheri, B. & Kao, H.-A. 2015. A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters 3(Supplement C), 1823.
Lehmann, J., Heussner, A., Shamiyeh, M. & Ziemer, S. 2018. Extracting and modeling knowledge about aviation for multilingual semantic applications in Industry 4.0. In IEEE International Conference on Enterprise Systems, 5660.
Li, P. & Niggemann, O. 2018. A data provenance based architecture to enhance the reliability of data analysis for Industry 4.0. In IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 13751382.
Liandong, Z. & Qifeng, W. 2009. Knowledge discovery and modeling approach for manufacturing enterprises. In IEEE International Symposium on Intelligent Information Technology Application, 291294.
Liao, K., Liu, Q. & Zhao, X. 2009. Ontology-based model of mobile knowledge service for the inspection of construction project. In IEEE International Conference on Management and Service Science, 15.
Liu, J., Wang, Y., Morris, J. & Kristiansen, H. 2005a. Development of ontology for the anisotropic conductive adhesive interconnect technology in electronics applications. In IEEE International Symposium on Advanced Packaging Materials: Processes, Properties and Interfaces, 193208.
Liu, J., Wang, Y., Morris, J. & Kristiansen, H. 2005b. Ontology for the anisotropic conductive adhesive interconnect technology for electronics packaging applications. In IEEE Conference on High Density Microsystem Design and Packaging and Component Failure Analysis, 117.
Lorenzi, F., Loh, S. & Abel, M. 2011. PersonalTour: a recommender system for travel packages. In IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 333336.
MacDonald, P. 2016. Future trends in engineering: global urbanisation and the fourth industrial revolution. http://www.engineersjournal.ie/2016/06/14/ [Accessed 6-October-2017].
Macia-Perez, F., Gilart-Iglesias, V., Ferrandiz-Colmeiro, A., Berna-Martinez, J. V. & Gea-Martinez, J. 2009. Semantic-driven manufacturing process management automation. In IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 18.
Markets and Markets, . 2016. Industry 4.0: Digitalisation for Productivity and Growth. Technical report, Report Code: SE 3068. Markets and Markets.
Martin-Montes, A., Burbano, M. & Leon, C. 2017. Efficient services in the Industry 4.0 and intelligent management network. In IEEE International Symposium on Industrial Electronics, 14951500.
Matzler, S. & Wollschlaeger, M. 2017. Interchange format for the generation of functional elements forindustrie 4.0 components. In Annual Conference of the IEEE Industrial Electronics Society, 54535459.
Merdan, M., Koppensteiner, G., Zoitl, A. & Hegny, I. 2008. Intelligent-agent based approach for assembly automation. In IEEE Conference on Soft Computing in Industrial Applications, 1319.
Meridou, D. T., Kapsalis, A. P., Papadopoulou, M.-E. C., Karamanis, E. G., Patrikakis, C. Z., Venieris, I. S. & Kaklamani, D.-T. I. 2015. An ontology-based smart production management system. IT Professional 17(6), 3646.
Mozzaquatro, B. A., Melo, R., Agostinho, C. & Jardim-Goncalves, R. 2016. An ontology-based security framework for decision-making in industrial systems. In IEEE International Conference on Model-Driven Engineering and Software Development, 779788.
Muller, T., Hagenmeyer, V., Schmidt, A., Scholz, S. & Elkaseer, A. 2018. A knowledge-based decision support system for micro and nano manufacturing process chains. In Euromicro Conference on Software Engineering and Advanced Applications, 314320.
Natarajan, S., Ghosh, K. & Srinivasan, R. 2011. An evaluation of a hierarchical multi agent based process monitoring system for chemical plants. In IEEE International Conference on Networking, Sensing and Control, 151156.
Nilsson, J. & Sandin, F. 2018. Semantic interoperability in Industry 4.0: survey of recent developments and outlook. In IEEE International Conference on Industrial Informatics, 127132.
Nordrum, A. & Clark, K. 2017. Everything you need to know about 5G. IEEE Spectrum.
Olszewska, J. I. 2011. Spatio-temporal visual ontology. In EPSRC Workshop on Vision and Language (VL).
Olszewska, J. I. 2017. Clock-model-assisted agent’s spatial navigation. In International Conference on Agents and ArtificialIntelligence, 687692.
Olszewska, J. I. & Allison, A. K. 2018. ODYSSEY: Software development life cycle ontology. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development, 303311.
Olszewska, J. I., Barreto, M., Bermejo-Alonso, J., Carbonera, J., Chibani, A., Fiorini, S., Goncalves, P., Habib, M., Khamis, A., Olivares, A., Freitas, E. P., Prestes, E., Ragavan, S. V., Redfield, Sanz, R., Spencer, B. & Li, H. 2017. Ontology for autonomous robotics. In IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 189194.
Olszewska, J. I., Houghtaling, M., Goncalves, P. J.S., Fabiano, N., Haidegger, T., Carbonera, J. L., Patterson, W. R., Ragavan, S. V., Fiorini, S. R. & Prestes, E. 2019. Robotic ontological standard development life cycle in action. Journal of Intelligent and Robotic Systems, 120.
Persson, C. & Wallin, E. O. 2017. Engineering and business implications of ontologies: a proposal for a minimum viable ontology. In IEEE Conference on Automation Science and Engineering, 864869.
Phutthisathian, A., Maneerat, N., Varakulsiripunth, R., Takahashi, K. & Kato, Y. 2013. An ontology-based multi agent automotive parts transportation management system. In IEEE Region 10 Humanitarian Technology Conference, 9699.
Prestes, E., Carbonera, J. L., Fiorini, S. R., Jorge, V. A. M., Abel, M., Madhavan, R., Locoro, A., Goncalves, P., Barreto, M. E., Habib, M., Chibani, A., Gerard, S., Amirat, Y. & Schlenoff, C. 2013. Towards a core ontology for robotics and automation. Robotics and Autonomous Systems 61(11), 11931204.
Rappaport, T. S., Sun, S., Mayzus, R., Zhao, H., Azar, Y., Wang, K., Wong, G. N., Schulz, J. K. & Samimi, M. 2013. Millimiter wave mobile communications for 5G cellular: it will work! IEEE Access 1, 335349.
Ray, P. P. 2016. Internet of robotics things: concept, technologies, and challenges. IEEE Access 4, 94899500.
Rosen, R., von Wichert, G., Lo, G. & Bettenhausen, K. D. 2015. About the importance of autonomy and digital twins for the future of manufacturing. IFAC Symposium on Information Control Problems in Manufacturing 48(3), 567572.
Saidur, R. 2010. A review on electrical motors energy use and energy savings. Renewable and Sustainable Energy Reviews 14(3), 877898.
Salminen, V. & Pillai, B. 2007. Interoperability requirement challenges: future trends. In IEEE International Symposium on Collaborative Technologies and Systems, 265270.
Santos, G., Silva, F., Teixeira, B., Vale, Z. & Pinto, T. 2018. Power systems simulation using ontologies to enable the interoperability of multi-agent systems. In IEEE Power Systems Computation Conference, 17.
Smirnov, A., Sandkuhl, K. & Shilov, N. 2010. SOA-based product knowledge management for collaborative engineering in virtual enterprises. In IEEE International Technology Management Conference, 18.
Sorli, M., Mendikoa, I., Perez, J., Soares, A., Urosevic, L., Stokic, D., Moreira, J. & Corvacho, H. 2006. Knowledge-based collaboration in construction industry. In IEEE International Technology Management Conference, 18.
Tang, H., Li, D., Wang, S. & Dong, Z. 2018. CASOA: an architecture for agent-based manufacturing system in the context of Industry 4.0. IEEE Access 6, 1274612754.
Teixeira, B., Silva, F., Pinto, T., Santos, G., Praca, I. & Vale, Z. 2017. TOOCC: enabling heterogeneous systems interoperability in the study of energy systems. In IEEE Power and Energy Society General Meeting, 15.
Veera Ragavan, S. K. & Shanmugavel, M. 2016. Engineering cyber-physical systems - mechatronics wine in new bottles? In IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 15.
Vinoth, P. & Sankar, P. 2016. Bringing intelligent inferences through a semantic structure markup system with the support of chemical ontologies. In IEEE International Conference on Advances in Computer Applications, 6065.
Vukmirovic, M., Szymczak, M., Ganzha, M. & Paprzycki, M. 2006. Utilizing ontologies in an agent-based airline ticket auctioning system. In IEEE International Conference on Information Technology Interfaces, 385390.
Wally, B., Huemer, C. & Mazak, A. 2017. Aligning business services with production services: the case of REA and ISA-95. In IEEE Conference on Service-Oriented Computing and Applications, 917.
Wan, J., Chen, B., Imran, M., Tao, F., Li, D., Liu, C. & Ahmad, S. 2018a. Toward dynamic resources management for IoT-based manufacturing. IEEE Communications Magazine 56(2), 5259.
Wan, J., Yin, B., Li, D., Celesti, A., Tao, F. & Hua, Q. 2018b. An ontology-based resource reconfiguration method for manufacturing cyber-physical systems. IEEE/ASME Transactions on Mechatronics 23(6), 25372546.
Wan, J., Tang, S., Li, D., Imran, M., Zhang, C., Liu, C. & Pang, Z. 2019. Reconfigurable smart factory for drug packing in healthcare Industry 4.0. IEEE Transactions on Industrial Informatics 15(1), 507516.
Wang, G., Wong, T. N. & Wang, X. H. 2010. A negotiation protocol to support agent argumentation and ontology interoperability in MAS-based virtual enterprises. In IEEE International Conference on Information Technology: New Generations, 448453.
Wang, J., Sun, Y., Zhang, W., Thomas, I., Duan, S. & Shi, Y. 2016. Large-scale online multitask learning and decision making for flexible manufacturing. IEEE Transactions on Industrial Informatics 12(6), 21392147.
Wiesner, A., Saxena, A. & Marquardt, W. 2010. An ontology-based environment for effective collaborative and concurrent process engineering. In IEEE International Conference on Industrial Engineering and Engineering Management, 25182522.
Wollschlaeger, M., Sauter, T. & Jasperneite, J. 2017. The future of industrial communication: automation networks in the era of the Internet of Things and Industry 4.0. IEEE Industrial Electronics Magazine 11(1), 1727.
Xie, C., Cai, H., Xu, L., Jiang, L. & Bu, F. 2017. Linked semantic model for information resource service towards cloud manufacturing. IEEE Transactions on Industrial Informatics 13(6), 33383349.
Xu, X. 2012. From cloud computing to cloud manufacturing. Robotics and Computer-Integrated Manufacturing 28(1), 7586.
Xu, X. & Hua, Q. 2017. Industrial big data analysis in smart factory: current status and research strategies. IEEE Access 5, 1754317551.
Xue, X. & Chang, J. 2012. The research on context-aware-based intelligent service system for miners. In IEEE International Conference on Services Computing, 478485.
Yusupova, N., Smetanina, O., Agadullina, A. & Rassadnikova, E. 2017. The development of ontologies to support the decisions in production systems management. In Russia and Pacific Conference on Computer Technology and Applications, IEEE, 188193.
Zhang, C., Zhou, G. & Lu, Q. 2017. Decision support oriented ontological modeling of product knowledge. In IEEE Information Technology, Networking, Electronic and Automation Control Conference, 3943.
Zhang, J., Ahmad, B., Vera, D. & Harrison, R. 2018. Automatic data representation analysis for reconfigurable systems integration. In IEEE International Conference on Industrial Informatics, 10331038.
Zhang, Y., Li, L., Nicho, J., Ripperger, M., Fumagalli, A. & Veeraraghavan, M. 2019. Gilbreth 2.0: an industrial cloud robotics pick-and-sort application. In IEEE International Conference on Robotic Computing, 3845.
Zheng, X., Martin, P., Brohman, K. & Xu, L. D. 2014. Cloud service negotiation in Internet of Things environment: a mixed approach. IEEE Transactions on Industrial Informatics 10(2), 15061515.

Ontologies for Industry 4.0

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