Skip to main content

Exploring Enterprise Architecture Knowledge Graphs in Archi: The EAKG Toolkit

  • Conference paper
  • First Online:
Enterprise Design, Operations, and Computing. EDOC 2022 Workshops (EDOC 2022)

Abstract

This paper presents the EAKG Toolkit that entails a new Knowledge Graph-based representation of enterprise architecture (EA) models and further enables reasoning on EA knowledge. Our developed EAKG Toolkit is unique in the sense that it i) transforms ArchiMate models into a KG representation – the Enterprise Architecture Knowledge Graph (EAKG), ii) visualizes the EAKG for interactive exploration, and iii) extends the EAKG with additional nodes and edges to visually represent detected EA smells.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://pubs.opengroup.org/architecture/archimate3-doc/.

  2. 2.

    neovis.js: https://github.com/neo4j-contrib/neovis.js/.

References

  1. Buschle, M., Holm, H., Sommestad, T., Ekstedt, M., Shahzad, K.: A tool for automatic enterprise architecture modeling. In: Nurcan, S. (ed.) CAiSE Forum 2011. LNBIP, vol. 107, pp. 1–15. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-29749-6_1

    Chapter  Google Scholar 

  2. Florez, H., Sánchez, M., Villalobos, J.: A catalog of automated analysis methods for enterprise models. Springerplus 5(1), 1–24 (2016). https://doi.org/10.1186/s40064-016-2032-9

    Article  Google Scholar 

  3. Frank, U., Strecker, S., Fettke, P., vom Brocke, J., Becker, J., Sinz, E.J.: The research field “modeling business information systems’’ - current challenges and elements of a future research agenda. Bus. Inf. Syst. Eng. 6(1), 39–43 (2014)

    Article  Google Scholar 

  4. Glaser, P.L., Ali, S.J., Sallinger, E., Bork, D.: 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.) EDOC 2022. LNCS, vol. 13585, pp. 57–73. Springer, Cham (2022)

    Chapter  Google Scholar 

  5. Lantow, B., Jugel, D., Wißotzki, M., Lehmann, B., Zimmermann, O., Sandkuhl, K.: Towards a classification framework for approaches to enterprise architecture analysis. In: Horkoff, J., Jeusfeld, M.A., Persson, A. (eds.) PoEM 2016. LNBIP, vol. 267, pp. 335–343. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-48393-1_25

    Chapter  Google Scholar 

  6. Naranjo, D., Sánchez, M., Villalobos, J.: PRIMROSe: a graph-based approach for enterprise architecture analysis. In: Cordeiro, J., Hammoudi, S., Maciaszek, L., Camp, O., Filipe, J. (eds.) ICEIS 2014. LNBIP, vol. 227, pp. 434–452. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-22348-3_24

    Chapter  Google Scholar 

  7. Närman, P., Buschle, M., Ekstedt, M.: An enterprise architecture framework for multi-attribute information systems analysis. Softw. Syst. Model. 13(3), 1085–1116 (2014)

    Article  Google Scholar 

  8. Salentin, J., Hacks, S.: Towards a catalog of enterprise architecture smells. In: Gronau, N., Heine, M., Krasnova, H., Poustcchi, K. (eds.) Internationalen Tagung Wirtschaftsinformatik, Community Tracks, pp. 276–290. GITO Verlag (2020)

    Google Scholar 

  9. Santana, A., Fischbach, K., de Moura, H.P.: Enterprise architecture analysis and network thinking: a literature review. In: Bui, T.X., Jr., R.H.S. (eds.) 49th Hawaii International Conference on System Sciences, pp. 4566–4575. IEEE (2016)

    Google Scholar 

  10. Santana, A., Simon, D., Fischbach, K., de Moura, H.: Combining network measures and expert knowledge to analyze enterprise architecture at the component level. In: 2016 IEEE EDOC Conference, pp. 1–10. IEEE (2016)

    Google Scholar 

  11. Smajevic, M., Bork, D.: From conceptual models to knowledge graphs: a generic model transformation platform. In: International Conference on Model Driven Engineering Languages and Systems Companion, pp. 610–614 (2021)

    Google Scholar 

  12. Smajevic, M., Bork, D.: Towards graph-based analysis of enterprise architecture models. In: Ghose, A., Horkoff, J., Silva Souza, V.E., Parsons, J., Evermann, J. (eds.) ER 2021. LNCS, vol. 13011, pp. 199–209. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-89022-3_17

    Chapter  Google Scholar 

  13. Smajevic, M., Hacks, S., Bork, D.: Using knowledge graphs to detect enterprise architecture smells. In: Serral, E., Stirna, J., Ralyté, J., Grabis, J. (eds.) PoEM 2021. LNBIP, vol. 432, pp. 48–63. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-91279-6_4

    Chapter  Google Scholar 

Download references

Acknowledgements

This work has been partially funded through the Erasmus+ KA220-HED project Digital Platform Enterprise (project no.: 2021-1-RO01-KA220-HED-000027576) and the Austrian Research Promotion Agency via the Austrian Competence Center for Digital Production (contract no. 854187).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dominik Bork .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Glaser, PL., Ali, S.J., Sallinger, E., Bork, D. (2023). Exploring Enterprise Architecture Knowledge Graphs in Archi: The EAKG Toolkit. In: Sales, T.P., Proper, H.A., Guizzardi, G., Montali, M., Maggi, F.M., Fonseca, C.M. (eds) Enterprise Design, Operations, and Computing. EDOC 2022 Workshops . EDOC 2022. Lecture Notes in Business Information Processing, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-031-26886-1_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-26886-1_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-26885-4

  • Online ISBN: 978-3-031-26886-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics