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Model-Based Construction of Enterprise Architecture Knowledge Graphs

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Enterprise Design, Operations, and Computing (EDOC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13585))

Abstract

Enterprise Architecture offers guidelines for the coherent, model-based design and management of enterprises. EA models provide a layered, integrated, and cohesive representation of the enterprise, enabling communication, analysis, and decision making. With the increasing size of EA models, automated analysis becomes essential. However, advanced model analysis is neither incorporated in current EA methods like ArchiMate nor supported by existing EA tools like Archi. Knowledge Graphs (KGs) can effectively organize and represent knowledge and enable reasoning to utilize this knowledge, e.g., for decision support. This paper introduces a model-based Enterprise Architecture Knowledge Graph (EAKG) construction method and shows how starting from ArchiMate models, an initially derived EAKG can be further enriched by EA-specific and graph characteristics-based knowledge. The introduced EAKG entails new representation and reasoning methods applicable to EA knowledge. As a proof of concept, we present the results of a first Design Science Research Cycle aiming to realize an Archi plugin for the EAKG that enables analysis of EA Smells within ArchiMate models.

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Notes

  1. 1.

    https://www.archimatetool.com/, last accessed: 15.08.2022.

  2. 2.

    https://swc-public.pages.rwth-aachen.de/smells/ea-smells/, accessed: 11.05.2022.

  3. 3.

    EAKG Github repository: https://github.com/borkdominik/archi-kganalysis-plugin.

  4. 4.

    Archi plugins: https://www.archimatetool.com/plugins/, accessed 02.05.2022.

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Acknowledgements

This work has been partially funded through the Erasmus+ KA220-HED project “Digital Platform Enterprise” (DEMO) with the project number: 2021-1-RO01-KA220-HED-000027576, the project “Enterprise Architecture Knowledge Graphs" funded by a Career Grant of TU Wien, and the Austrian Research Promotion Agency (FFG) via the Austrian Competence Center for Digital Production (CDP) under the contract number 854187.

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Authors and Affiliations

  1. Business Informatics Group, TU Wien, Vienna, Austria

    Philipp-Lorenz Glaser, Syed Juned Ali & Dominik Bork

  2. Database and Artificial Intelligence Group, TU Wien, Vienna, Austria

    Emanuel Sallinger

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  1. Philipp-Lorenz Glaser
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  2. Syed Juned Ali
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  3. Emanuel Sallinger
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  4. Dominik Bork
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Correspondence to Dominik Bork .

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Editors and Affiliations

  1. Universidade Federal do Espírito Santo, Vitória, Espírito Santo, Brazil

    João Paulo A. Almeida

  2. University of Groningen, Groningen, The Netherlands

    Dimka Karastoyanova

  3. University of Twente, Enschede, The Netherlands

    Giancarlo Guizzardi

  4. Free University of Bozen-Bolzano, Bolzano, Italy

    Marco Montali

  5. Free University of Bozen-Bolzano, Bolzano, Italy

    Fabrizio Maria Maggi

  6. University of Twente, Enschede, The Netherlands

    Claudenir M. Fonseca

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Glaser, PL., Ali, S.J., Sallinger, E., Bork, D. (2022). Model-Based Construction of Enterprise Architecture Knowledge Graphs. In: Almeida, J.P.A., Karastoyanova, D., Guizzardi, G., Montali, M., Maggi, F.M., Fonseca, C.M. (eds) Enterprise Design, Operations, and Computing. EDOC 2022. Lecture Notes in Computer Science, vol 13585. Springer, Cham. https://doi.org/10.1007/978-3-031-17604-3_4

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