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Modelling and Execution of Data-Driven Processes with JSON-Nets

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Enterprise, Business-Process and Information Systems Modeling (BPMDS 2023, EMMSAD 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 479))

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Abstract

Modern business environments are governed by a wide range of data in various data formats. Despite the importance of integrating the data and control-flow perspective, existing business process modelling languages have only limited capability to precisely describe data-driven processes. In this paper, we propose a new approach called JSON-Nets, a variant of high-level Petri nets, that utilizes JSON technologies to integrate complex data objects in executable process models. We introduce JSON-Nets using an illustrative example and provide a formal specification, as well as a prototypical implementation of a modelling tool to evaluate our conception.

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Acknowledgements

We wish to thank the anonymous referees for many valuable comments on an earlier version of this paper.

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Authors and Affiliations

  1. Karlsruhe Institute of Technology (KIT), Institute of Applied Informatics and Formal Description Methods (AIFB), Kaiserstr. 89, 76133, Karlsruhe, Germany

    Andreas Fritsch, Selina Schüler, Martin Forell & Andreas Oberweis

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  1. Andreas Fritsch
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  2. Selina Schüler
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  3. Martin Forell
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  4. Andreas Oberweis
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Correspondence to Andreas Fritsch .

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Editors and Affiliations

  1. University of Mannheim, Mannheim, Germany

    Han van der Aa

  2. TU Wien, Vienna, Austria

    Dominik Bork

  3. TU Wien, Vienna, Austria

    Henderik A. Proper

  4. Munich University of Applied Sciences, Munich, Germany

    Rainer Schmidt

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Fritsch, A., Schüler, S., Forell, M., Oberweis, A. (2023). Modelling and Execution of Data-Driven Processes with JSON-Nets. In: van der Aa, H., Bork, D., Proper, H.A., Schmidt, R. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2023 2023. Lecture Notes in Business Information Processing, vol 479. Springer, Cham. https://doi.org/10.1007/978-3-031-34241-7_3

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  • DOI: https://doi.org/10.1007/978-3-031-34241-7_3

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