Abstract
Enterprises are complex systems comprising three fundamental components: a physical sub-system, a decision sub-system, and an information sub-system. Humans in the enterprises are not just resources but the first consumers and providers of data, information, and knowledge. The present research considers enterprise as a technical system embedding social component. Socio-cyber-physical systems naturally embody this idea. The research considers such systems as an enterprise component that combines the cyber aspects of computing and communications with the dynamics and physics of physical enterprise. The enterprise interoperability problem is treated as the problem of service interoperability in socio-cyber-physical systems at the service level and process level of an enterprise. The research proposes ontologies of enterprise and socio-cyber-physical system, a task-oriented service interoperability model, and a service communication mechanism.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Romero, D., & Vernadat, F. (2016). Enterprise information systems state of the art. Computers in Industry, 79(C), 3–13.
Weichhart, G., Guédria, W., & Naudet, Y. (2016). Supporting interoperability in complex adaptive enterprise systems: A domain specific language approach. Data & Knowledge Engineering, 105(Sept.), 90–106.
Frazzon, E. M., Hartmann, J., Makuschewitz, T., & Scholz-Reiter, B. (2013). Towards socio-cyber-physical systems in production networks. Procedia CIRP, 7, 49–54.
Chen, D. (2006). Enterprise interoperability framework. In Proceedings of the Open Interop Workshop on Enterprise Modelling and Ontologies for Interoperability. CEUR Workshop Proceedings. http://ceur-ws.org/Vol-200/19.pdf.
Liu, Z., Yang, D.-S., Wen, D., Zhang, W.-M., & Mao, W. (2011). Cyber-physical-social systems for command and control. IEEE Intelligent Systems, 26(4), 92–96.
Smirnov, A., Levashova, T., Shilov, N., & Sandkuhl, K. (2014) Ontology for cyber-physical-social systems self-organisation. In Proceedings of the 16th Conference of Open Innovations Association FRUCT (pp.101–107). IEEE.
Grigoriev, L., & Kudryavtsev, D. (2011) The ontology-based business architecture engineering framework. In H. Fujita & T. Gavrilova (Eds.), New trends in software methodologies, tools and techniques: Vol. 231 Frontiers in artificial intelligence and applications (pp. 233–252). IOS Press, Amsterdam.
Nardi, J. C., de Almeida Falbo, R., Guizzardi, G., Pires, L. P., Sinderen, M. J., Guarino, N., et al. (2015). A commitment-based reference ontology for services. Information Systems, 54(December) 263–288.
Dey, A. K. (2001). Understanding and using context. Personal and Ubiquitous Computing, 5(1), 4–7.
Zimmermann, A., Lorenz, A., & Oppermann, R. (2007). An operational definition of context. In B. Kokinov et al. (Eds.) CONTEXT 2007: 4635. LNAI (pp. 558–571). Springer-Verlag, Berlin, Heidelberg.
Baumgartner, N., Gottesheim, W., Mitsch, S., & Retschitzegger, W. (2010). BeAware!-Situation awareness, the ontology-driven way: Editorial. Data & Knowledge Engineering, 69(11), 1181–1193.
Sanfilippo, E. M., Borgo, S., & Masolo, C. (2014). Events and activities: Is there an ontology behind BPMN? In P. Garbacz & O. Kutz (Eds.), Formal ontology in information systems (pp. 147–156). Amsterdam: IOS Press.
Berrueta, D., Brickley, D., Decker, S., et al. (2010). SIOC core ontology specification. http://rdfs.org/sioc/spec/. Last accessed January 15 2018.
Smirnov, A., Shilov, N., Levashova, T., & Kashevnik, A. (2008). Context-aware operational decision support in decentralised environments: A methodology. In K. Engemann & G. Lasker (Eds.), Advances in decision technology and intelligent information systems (Vol. IX, pp. 26–30). Windsor, Canada: The International Institute for Advanced Studies in Systems Research and Cybernetics.
Guarino, N. (1997). Understanding, building and using ontologies. International Journal Human-Computer Studies, 46(2/3), 293–310.
IEEE 1872–2015 Standard Ontologies for Robotics and Automation. IEEE Standard, 60 (2015). DOI: https://doi.org/10.1109/ieeestd.2015.7084073.
Acknowledgements
The projects funded through grants 16–29–04349, 16–29–12866, 17–29–07073, 17–07–00247, and 17–07–00248 of the Russian Foundation for Basic Research, the research Program 29 “Actual problems of robotics” of the Presidium of the Russian Academy of Sciences, and Grant 074-U01 of the Government of Russian Federation provided support for the research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Smirnov, A., Levashova, T., Kashevnik, A. (2019). Enterprise Ontology for Service Interoperability in Socio-Cyber-Physical Systems. In: Popplewell, K., Thoben, KD., Knothe, T., Poler, R. (eds) Enterprise Interoperability VIII. Proceedings of the I-ESA Conferences, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-13693-2_17
Download citation
DOI: https://doi.org/10.1007/978-3-030-13693-2_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-13692-5
Online ISBN: 978-3-030-13693-2
eBook Packages: EngineeringEngineering (R0)