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A Capability-Based Method for Modeling Resilient Data Ecosystems

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Domain-Specific Conceptual Modeling

Abstract

Modern information systems rely on data analytics and use various data sources to steer information processing and process execution activities. Capability-driven development is a method for the design and delivery of this kind of information systems. This chapter elaborates a method extension for capability-based modeling of data ecosystems for the purpose of ensuring their resilience. The ecosystem perspective is adopted because there is a need to understand the interactions among the various parties involved in capability delivery. The ecosystem model allows to analyze the impact on reliability and other properties of data providers on capability delivery resilience. The meta-model is elaborated together with a set of rules for analyzing the ecosystem model. The model is perceived as a property graph, and the network theory is used for the analysis. The ADOxx meta-modeling platform is used to implement the modeling tool, which is integrated with a graph database, where the model analysis is performed. The method and the tool are demonstrated using an example of a winter road maintenance ecosystem.

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Acknowledgment

This research is funded in parts by the Ministry of Education and Science, Republic of Latvia, project ARTSS, project No. VPP-COVID-2020/1-0009.

Tool Download: https://www.omilab.org/artss

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Authors and Affiliations

  1. Management Information Technology, Riga Technical University, Riga, Latvia

    Jānis Grabis, Līva Deksne & Evita Roponena

  2. Department of Computer and Systems Sciences, Stockholm University, Kista, Sweden

    Janis Stirna

Authors
  1. Jānis Grabis
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  2. Līva Deksne
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  3. Evita Roponena
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  4. Janis Stirna
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Corresponding author

Correspondence to Jānis Grabis .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science, Research Group Knowledge Engineering, University of Vienna, Vienna, Austria

    Dimitris Karagiannis

  2. College of Engineering, Chonbuk National University, Jeonju, Korea (Republic of)

    Moonkun Lee

  3. School of Business, University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland

    Knut Hinkelmann

  4. OMiLAB gGmbH, Berlin, Germany

    Wilfrid Utz

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Grabis, J., Deksne, L., Roponena, E., Stirna, J. (2022). A Capability-Based Method for Modeling Resilient Data Ecosystems. In: Karagiannis, D., Lee, M., Hinkelmann, K., Utz, W. (eds) Domain-Specific Conceptual Modeling. Springer, Cham. https://doi.org/10.1007/978-3-030-93547-4_15

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  • DOI: https://doi.org/10.1007/978-3-030-93547-4_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-93546-7

  • Online ISBN: 978-3-030-93547-4

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