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Overview of Generation Methods for Business Process Models

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Knowledge Science, Engineering and Management (KSEM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11776))

Abstract

Business process models are a way of knowledge representation which is widely exploited in various areas of economy and industry. They illustrate workflows executed manually by people, as well as automated sequences of tasks processed by computer software. Manual creation of a workflow model is a complex activity which requires a significant workload. This is caused by the necessity to collect and transform input data from different sources. As a solution to this problem, several techniques have been elaborated to extract knowledge from different representations in order to generate a correct business process model. In this paper, an overview and classification of such techniques which include generating process models from representations such as: natural language text, various notations, other models or logs obtained from an information system is put forward.

The paper is supported by the AGH UST research grant.

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Authors and Affiliations

  1. AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059, Krakow, Poland

    Piotr Wiśniewski, Krzysztof Kluza, Krystian Jobczyk, Bernadetta Stachura-Terlecka & Antoni Ligęza

Authors
  1. Piotr Wiśniewski
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  2. Krzysztof Kluza
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  3. Krystian Jobczyk
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  4. Bernadetta Stachura-Terlecka
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  5. Antoni Ligęza
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Corresponding author

Correspondence to Krzysztof Kluza .

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Editors and Affiliations

  1. University of Piraeus, Piraeus, Greece

    Christos Douligeris

  2. University of Vienna, Vienna, Austria

    Dimitris Karagiannis

  3. University of Piraeus, Piraeus, Greece

    Dimitris Apostolou

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Wiśniewski, P., Kluza, K., Jobczyk, K., Stachura-Terlecka, B., Ligęza, A. (2019). Overview of Generation Methods for Business Process Models. In: Douligeris, C., Karagiannis, D., Apostolou, D. (eds) Knowledge Science, Engineering and Management. KSEM 2019. Lecture Notes in Computer Science(), vol 11776. Springer, Cham. https://doi.org/10.1007/978-3-030-29563-9_6

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  • DOI: https://doi.org/10.1007/978-3-030-29563-9_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29562-2

  • Online ISBN: 978-3-030-29563-9

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