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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1632))

Abstract

Conversational AI in the form of chatbots is likely to play an important role in modern business processes. In this paper a taxonomy was developed presenting which connections can be drawn between the domain of subject-oriented business process management (S-BPM) and Conversational AI - and whether they are valuable. This taxonomy consists of three major pillars. First, it was considered how chatbots can be expressed using S-BPM. Secondly, an automated specification of chatbots based on subject-oriented process models was examined. Lastly, the support of subject-oriented business process modeling via the guidance of chatbots was considered.

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Notes

  1. 1.

    Further functionalities, such as a model check, are made possible via an add-in. The shapes, macros and the add-in are developed and maintained at the Institute for Information Management in Engineering (IMI) at KIT. The software is available for download here: https://subjective-me.jimdofree.com/visio-modelling/

  2. 2.

    To clarify: In Fig. 5 the components of the bot are described as subjects but the bot - or rather the model - is considered to be an object.

  3. 3.

    The content message “Process Model (bot specification)” could be a model like the one shown in Fig. 5

  4. 4.

    See Table 1

  5. 5.

    The project can be cloned and tested with: https://github.com/itsme-bigv/PassBot1/tree/unstoppableDialog.

  6. 6.

    The library is being developed at the Institute of Information Management in Engineering (IMI) and can be integrated using the package manager nuget: https://www.nuget.org/packages/alps.net.api/

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Kurtz, V., Bönsch, J., Ovtcharova, J. (2022). Understanding and Harnessing the Potential of Conversational AI for S-BPM. In: Elstermann, M., Betz, S., Lederer, M. (eds) Subject-Oriented Business Process Management. Dynamic Digital Design of Everything – Designing or being designed?. S-BPM ONE 2022. Communications in Computer and Information Science, vol 1632. Springer, Cham. https://doi.org/10.1007/978-3-031-19704-8_3

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  • DOI: https://doi.org/10.1007/978-3-031-19704-8_3

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