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The Changing Roles of Humans and Algorithms in (Process) Matching

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Business Process Management Workshops (BPM 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 362))

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Abstract

Historically, matching problems (including process matching, schema matching, and entity resolution) were considered semiautomated tasks in which correspondences are generated by matching algorithms and subsequently validated by human expert(s). The role of humans as validators is diminishing, in part due to the amount and size of matching tasks. Our vision for the changing role of humans in matching is divided into two main approaches, namely Humans Out and Humans In. The former questions the inherent need for humans in the matching loop, while the latter focuses on overcoming human cognitive biases via algorithmic assistance. Above all, we observe that matching requires unconventional thinking demonstrated by advanced machine learning methods to complement (and possibly take over) the role of humans in matching.

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References

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Acknowledgments

We would like thank Prof. Rakefet Ackerman, Dr. Haggai Roitman, Dr. Tomer Sagi, and Dr. Ofra Amir, for their involvement in this research.

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Authors and Affiliations

  1. Technion – Israel Institute of Technology, Technion City, Haifa, Israel

    Roee Shraga & Avigdor Gal

Authors
  1. Roee Shraga
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  2. Avigdor Gal
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Corresponding author

Correspondence to Avigdor Gal .

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Editors and Affiliations

  1. Fondazione Bruno Kessler, Trento, Italy

    Chiara Di Francescomarino

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Remco Dijkman

  3. University of Vienna, Vienna, Austria

    Uwe Zdun

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Shraga, R., Gal, A. (2019). The Changing Roles of Humans and Algorithms in (Process) Matching. In: Di Francescomarino, C., Dijkman, R., Zdun, U. (eds) Business Process Management Workshops. BPM 2019. Lecture Notes in Business Information Processing, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-030-37453-2_10

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  • DOI: https://doi.org/10.1007/978-3-030-37453-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37452-5

  • Online ISBN: 978-3-030-37453-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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