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Machine Learning-Based Enterprise Modeling Assistance: Approach and Potentials

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The Practice of Enterprise Modeling (PoEM 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 432))

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Abstract

Today, enterprise modeling is still a highly manual task that requires substantial human effort. Human modelers are not only assigned the creative component of the process, but they also need to perform routine work related to comparing the being developed model with the existing ones. Although the huge amount of information available today (big data) makes it possible to analyze more best practices, it also introduces difficulties since a person is often not able to analyze all of it. In this work, we analyze the potential of using machine learning methods for assistance during enterprise modeling. An illustrative case study proves the feasibility and potentials of the proposed approach, which can potentially significantly affect the modern modeling methods, and also has long-term prospects for the creation of new technologies, products, and services.

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Acknowledgements

The paper is due to State Research no. 0073–2019-0005.

Author information

Authors and Affiliations

  1. SPC RAS, St. Petersburg, Russia

    Nikolay Shilov

  2. ITMO University, St. Petersburg, Russia

    Walaa Othman

  3. University of Rostock, Rostock, Germany

    Michael Fellmann & Kurt Sandkuhl

Authors
  1. Nikolay Shilov
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  2. Walaa Othman
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  3. Michael Fellmann
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  4. Kurt Sandkuhl
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Corresponding author

Correspondence to Nikolay Shilov .

Editor information

Editors and Affiliations

  1. KU Leuven, LIRIS, Leuven, Belgium

    Estefanía Serral

  2. Stockholm University, Kista, Sweden

    Janis Stirna

  3. University of Geneva, Carouge, Switzerland

    Jolita Ralyté

  4. Riga Technical University, Riga, Latvia

    Jānis Grabis

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Shilov, N., Othman, W., Fellmann, M., Sandkuhl, K. (2021). Machine Learning-Based Enterprise Modeling Assistance: Approach and Potentials. In: Serral, E., Stirna, J., Ralyté, J., Grabis, J. (eds) The Practice of Enterprise Modeling. PoEM 2021. Lecture Notes in Business Information Processing, vol 432. Springer, Cham. https://doi.org/10.1007/978-3-030-91279-6_2

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  • DOI: https://doi.org/10.1007/978-3-030-91279-6_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-91278-9

  • Online ISBN: 978-3-030-91279-6

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