Tackling the DMN Challenges with cDMN: A Tight Integration of DMN and Constraint Reasoning | SpringerLink
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Tackling the DMN Challenges with cDMN: A Tight Integration of DMN and Constraint Reasoning

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Rules and Reasoning (RuleML+RR 2020)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12173))

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Abstract

This paper describes an extension to the Decision Model and Notation (DMN) standard, called cDMN. DMN is a user-friendly, table-based notation for decision logic. cDMN aims to enlarge the expressivity of DMN in order to solve more complex problems, while retaining DMN’s goal of being readable by domain experts. We test cDMN by solving the most complex challenges posted on the DM Community website. We compare our own cDMN solutions to the solutions that have been submitted to the website and find that our approach is competitive, both in readability and compactness. Moreover, cDMN is able to solve more challenges than any other approach.

This research received funding from the Flemish Government under the “Onderzoeksprogramma Artificile Intelligentie (AI) Vlaanderen” programme.

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Notes

  1. 1.

    https://dmcommunity.org/.

  2. 2.

    https://cdmn.readthedocs.io/en/latest/community.html.

  3. 3.

    https://gitlab.com/EAVISE/cdmn/cdmn-solver.

  4. 4.

    www.cdmn.be.

References

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Author information

Authors and Affiliations

  1. Department of Computer Science, KU Leuven, De Nayer Campus, Sint-Katelijne-Waver, Belgium

    Bram Aerts, Simon Vandevelde & Joost Vennekens

Authors
  1. Bram Aerts
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  2. Simon Vandevelde
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  3. Joost Vennekens
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Corresponding author

Correspondence to Simon Vandevelde .

Editor information

Editors and Affiliations

  1. School of Computer Science and Informatics, Cardiff University, Cardiff, UK

    Víctor Gutiérrez-Basulto

  2. University of Economics, Prague, Prague, Czech Republic

    Tomáš Kliegr

  3. Norwegian University of Science and Technology, Gjøvik, Norway

    Ahmet Soylu

  4. Department Of Informatics, University of Oslo, Oslo, Norway

    Martin Giese

  5. SINTEF AS, Oslo, Norway

    Dumitru Roman

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Aerts, B., Vandevelde, S., Vennekens, J. (2020). Tackling the DMN Challenges with cDMN: A Tight Integration of DMN and Constraint Reasoning. In: Gutiérrez-Basulto, V., Kliegr, T., Soylu, A., Giese, M., Roman, D. (eds) Rules and Reasoning. RuleML+RR 2020. Lecture Notes in Computer Science(), vol 12173. Springer, Cham. https://doi.org/10.1007/978-3-030-57977-7_2

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  • DOI: https://doi.org/10.1007/978-3-030-57977-7_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57976-0

  • Online ISBN: 978-3-030-57977-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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