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An Overview of Methods for Acquiring and Generating Decision Models

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Knowledge Science, Engineering and Management (KSEM 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12817))

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Abstract

Decisions are of significant value to organizations. Furthermore, these business decisions are often represented in various knowledge sources, and manually modeling them is costly, tedious, and time-consuming. As decision modeling has seen a surge of interest since the introduction of the Decision Model and Notation (DMN) standard, research interest has also increased regarding automatically extracting decision models. This paper discusses an overview and classification of such techniques, including generating decision models from various knowledge sources such as natural language text, legacy code, other models, or event logs.

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Author information

Authors and Affiliations

  1. Leuven Institute for Research on Information Systems (LIRIS), KU Leuven, Leuven, Belgium

    Vedavyas Etikala & Jan Vanthienen

Authors
  1. Vedavyas Etikala
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  2. Jan Vanthienen
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Correspondence to Vedavyas Etikala .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Han Qiu

  2. Ibaraki University, Hitachi, Japan

    Cheng Zhang

  3. University of Kentucky, Lexington, KY, USA

    Zongming Fei

  4. Texas A&M University – Commerce, Commerce, TX, USA

    Meikang Qiu

  5. Princeton University, Princeton, NJ, USA

    Sun-Yuan Kung

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Etikala, V., Vanthienen, J. (2021). An Overview of Methods for Acquiring and Generating Decision Models. In: Qiu, H., Zhang, C., Fei, Z., Qiu, M., Kung, SY. (eds) Knowledge Science, Engineering and Management. KSEM 2021. Lecture Notes in Computer Science(), vol 12817. Springer, Cham. https://doi.org/10.1007/978-3-030-82153-1_17

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  • DOI: https://doi.org/10.1007/978-3-030-82153-1_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-82152-4

  • Online ISBN: 978-3-030-82153-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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