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Towards a Taxonomy of Cognitive RPA Components

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Business Process Management: Blockchain and Robotic Process Automation Forum (BPM 2020)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 393))

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Abstract

Robotic Process Automation (RPA) is a discipline that is increasingly growing hand in hand with Artificial Intelligence (AI) and Machine Learning enabling the so-called cognitive automation. In such context, the existing RPA platforms that include AI-based solutions classify their components, i.e. constituting part of a robot that performs a set of actions, in a way that seems to obey market or business decisions instead of common-sense rules. To be more precise, components that present similar functionality are identified with different names and grouped in different ways depending on the platform that provides the components. Therefore, the analysis of different cognitive RPA platforms to check their suitability for facing a specific need is typically a time-consuming and error-prone task. To overcome this problem and to provide users with support in the development of an RPA project, this paper proposes a method for the systematic construction of a taxonomy of cognitive RPA components. Moreover, such a method is applied over components that solve selected real-world use cases from the industry obtaining promising results .

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Notes

  1. 1.

    https://www.automationanywhere.com.

  2. 2.

    https://www.uipath.com.

  3. 3.

    https://www.automationanywhere.com.

  4. 4.

    https://www.edureka.co/blog/rpa-developer-roles-and-responsibilities/.

  5. 5.

    http://iwt2.org.

  6. 6.

    https://www.servinform.es/wp-content/uploads/2020/02/Servinform-AIRPA-Publicidad-web-corporativa.pdf.

  7. 7.

    A similar procedure for classification was successfully applied previously in the context of Machine Learning knowledge [13].

  8. 8.

    https://docs.uipath.com/activities.

  9. 9.

    https://docs.automationanywhere.com/bundle/enterprise-v2019/page/enterprise-cloud/topics/aae-client/bot-creator/using-the-workbench/cloud-commands-panel.html.

  10. 10.

    https://digitalexchange.blueprism.com/dx/search.

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Acknowledgements

This research has been supported by the Pololas project (TIN2016-76956-C3-2-R) of the Spanish Ministry of Economy and Competitiveness, the Trop@ project (CEI-12-TIC021) of the Junta de Andalucía, and the AIRPA (P011-19/E09) project of the Centro para el Desarrollo Tecnológico Industrial (CDTI) of Spain.

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Authors and Affiliations

  1. Departamento de Lenguajes y Sistemas Informáticos, Escuela Técnica Superior de Ingeniería Informática, Avenida Reina Mercedes, s/n, 41012, Sevilla, Spain

    Antonio Martínez-Rojas, Irene Barba & José González Enríquez

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  1. Antonio Martínez-Rojas
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  2. Irene Barba
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  3. José González Enríquez
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Correspondence to José González Enríquez .

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Editors and Affiliations

  1. University of Gothenburg, Gothenburg, Sweden

    Aleksandre Asatiani

  2. Universidad de Sevilla, Sevilla, Spain

    José María García

  3. Tampere University, Tampere, Finland

    Nina Helander

  4. Universidad de Sevilla, Sevilla, Spain

    Andrés Jiménez-Ramírez

  5. Kiel University, Kiel, Germany

    Agnes Koschmider

  6. WU Vienna, Vienna, Austria

    Jan Mendling

  7. Politecnico di Milano, Milan, Italy

    Giovanni Meroni

  8. Utrecht University, Utrecht, The Netherlands

    Hajo A. Reijers

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Martínez-Rojas, A., Barba, I., Enríquez, J.G. (2020). Towards a Taxonomy of Cognitive RPA Components. In: Asatiani, A., et al. Business Process Management: Blockchain and Robotic Process Automation Forum. BPM 2020. Lecture Notes in Business Information Processing, vol 393. Springer, Cham. https://doi.org/10.1007/978-3-030-58779-6_11

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  • DOI: https://doi.org/10.1007/978-3-030-58779-6_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58778-9

  • Online ISBN: 978-3-030-58779-6

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