Advertisement

Ontological Modeling for Industrial Enterprise Engineering

  • Alena V. Fedotova
  • Vadim V. Tabakov
  • Michael V. Ovsyannikov
  • Jens Bruening
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 874)

Abstract

The problems of creating enterprise ontologies for Enterprise Engineering are addressed in this paper. The main purpose of the research is development of a system of industrial enterprise ontologies. First of all, some definitions and viewpoints on Enterprise Engineering are discussed. A brief overview of the most well-known foreign projects of enterprise ontological engineering is given. The bottom-up and top-down ontology design approach are considered. A set of ontologies for a typical industrial enterprise has been built, which ensures the coordination of various enterprises activities. The main classes and subclasses of the enterprise ontology are given.

Keywords

Enterprise engineering Ontological modeling 

Notes

Acknowledgment

The reported study was funded by RFBR according to the research project № 18-07-01311, 17-07-01374.

References

  1. 1.
    ISO Concepts and Rules for Enterprise Models: International Standard 14258. www.mel.nist.gov/sc5wg1/std-dft.htm. Accessed 09 Mar 2017
  2. 2.
    Martin, J.: The Great Transition: Using the Seven Principles of Enterprise Engineering to Align People, Technology and Strategy. American Management Association, New York (1995)Google Scholar
  3. 3.
    Telnov, Y.F.: Evolution of the paradigm “enterprise engineering”. In: Enterprise Engineering and Knowledge Management. Collection of Scientific Works of the XVIth Scientific and Practical Conference EE & KM-2013, Moscow, MESI, 25–26 April 2013, pp. 294–298. MESI, Moscow (2013)Google Scholar
  4. 4.
    Liles, D., Johnson, M.E., Meade, L.M., Ryan, D.: Enterprise engineering: a discipline? In: Society for Enterprise Engineering Conference Proceedings, vol. 6 (1195)Google Scholar
  5. 5.
    Dietz, J.: Enterprise Ontology – Theory and Methodology. Springer, Berlin (2006)CrossRefGoogle Scholar
  6. 6.
    Dietz, J., Hoogervorst, J., et al.: The discipline of enterprise engineering. Int. J. Organ. Des. Eng. 3(1), 86–114 (2013)Google Scholar
  7. 7.
    Vernadat, F.: Enterprise Modeling and Integration: Principles and Applications. Chapman and Hall, London (1996)Google Scholar
  8. 8.
    Guryanova, M.A., Efimenko, I.V., Khoroshevsky, V.F.: Ontological modeling of the enterprises economy and industries of modern Russia: Part 2. World research and development: an analytical review. Preprint WP7/2011/08 (Part 2). State University Higher School of Economics, Moscow (2011)Google Scholar
  9. 9.
  10. 10.
    Uschold, M., King, M., Morales, S., Zorgios, Y.: The Enterprise ontology. Knowl. Eng. Rev. 13(1), 31–89 (1998)CrossRefGoogle Scholar
  11. 11.
    Fox, M.S., Barbuceanu, M., Gruninger, M.: An organization ontology for enterprise modeling: preliminary concepts for linking structure and behavior. Comput. Ind. 29, 123–134 (1995)CrossRefGoogle Scholar
  12. 12.
    Reiter, R.: The frame problem in the situation calculus: a simple solution (sometimes) and a completeness result for goal regression. In: Lifshitz, V. (ed.) Artificial Intelligence and Mathematical Theory of Computation, pp. 359–380. Academic Press Professional, San Diego Inc. (1991)CrossRefGoogle Scholar
  13. 13.
    Tarassov, V.B.: Special session on intelligent agents and virtual organizations in enterprise. In: Binder, Z. (ed.) Proceedings of the 2nd IFAC/IFIP/IEEE Conference on Management and Control of Production and Logistics 2000 MCPL’2000, Grenoble, France, 5–8 July 2000, vol. 2, pp. 475–478. Elsevier Science Publishers, Amsterdam (2001)CrossRefGoogle Scholar
  14. 14.
    Jamshidi, M. (ed.): System of Systems Engineering: Innovations for the Twenty-First Century. Wiley, New York (2008)Google Scholar
  15. 15.
    Evgenev, G.B.: Systemology of engineering knowledge. BMSTU, Moscow (2001)Google Scholar
  16. 16.
    Tarassov, V.B., Fedotova, A.V., Karabekov, B.S.: Granular meta-ontology, fuzzy and linguistic ontologies: enabling mutual understanding of cognitive agents. In: Proceedings of the 5th International Conference on Control, Automation and Artificial Intelligence CAAI2015, Phuket, Thailand, 23–24 August 2015, pp. 253–261. DEStech Publications Inc., Lancaster (2015)Google Scholar
  17. 17.
    Kovalev S.M., Tarassov V.B., Koroleva M.N., et al.: Towards intelligent measurement in railcar on-line diagnostics: from measurement ontologies to hybrid information granulation system. In: Abraham, A., Kovalev, S., Tarassov, V., et al. (eds.) Proceedings of the 2nd International Scientific Conference «Intelligent Information Technologies for Industry» IITI 2017, Varna, 14–16 September 2017 Advances in Intelligent Systems and Computing, vol. 679, pp. 169–181. Springer International Publishing, Cham (2018)Google Scholar
  18. 18.
    Tarassov, V.B., Fedotova, A.V., Stark, R., Karabekov, B.S.: Granular meta-ontology and extended allen’s logic: some theoretical background and application to intelligent product lifecycle management systems. In: Proceedings of the 4th International Conference on Intelligent Systems and Applications INTELLI’2015, St. Julians, Malta, 11–16 October 2015, pp. 86–93. IARIA XPS Press, Copenhagen (2015)Google Scholar
  19. 19.
    Petrochenkov, A.B., Bochkarev, S.V., Ovsyannikov, M.V., Bukhanov, S.A.: Construction of an ontological model of the life cycle of electrotechnical equipment. Russ. Electr. Eng. 86(6), 320–325 (2015)CrossRefGoogle Scholar
  20. 20.
    Fedotova, A.V., Davydenko, I.T., Pförtner, A.: Design intelligent lifecycle management systems based on applying of semantic technologies. In: Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” IITI 2016, Sochi, Russia, 16–21May 2016, vol. 1, pp. 251–260. Springer International Publishing, Cham (2016)CrossRefGoogle Scholar
  21. 21.
    Guarino, N.: Formal ontology and information systems. In: Guarino, N. (ed.) Proceedings of the 1st International Conference on Formal Ontologies in Information Systems, FOIS’98, Trento, Italy, 6–8 June 1998, pp. 3–15, IOS Press, Amsterdam (1998)Google Scholar
  22. 22.
    Valkman, Y.R., Tarasov, V.B.: From the ontology of designing to cognitive semiotics. Ontol. Des. 8(1), 8–34 (2018)CrossRefGoogle Scholar
  23. 23.
  24. 24.
    Enterprise Ontology. https://archive.org/details/EnterpriseOntology. Accessed 07 Apr 2018
  25. 25.
    Kuzenov, V.V., Ryzhkov, S.V.: Radiation-hydrodynamic modeling of the contact boundary of the plasma target placed in an external magnetic field. Appl. Phys. 3, 26–30 (2014)Google Scholar
  26. 26.
    Kuzenov, V.V., Ryzhkov, S.V.: Numerical modeling of laser target compression in an external magnetic field. Math. Model. Comput. Simul. 10, 255–264 (2018)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Alena V. Fedotova
    • 1
  • Vadim V. Tabakov
    • 2
  • Michael V. Ovsyannikov
    • 1
  • Jens Bruening
    • 3
  1. 1.Bauman Moscow State Technical UniversityMoscowRussia
  2. 2.Institute of World Economy and International Relations of the Russian Academy of SciencesMoscowRussia
  3. 3.Bremen UniversityBremenGermany

Personalised recommendations