Skip to main content

Linguistic Structures in the Light of the Digital Transformation: Addressing the Conflict Between Reference and Change

  • 1407 Accesses

Abstract

Information systems are at the core of the digital transformation. To cope with the dynamics of new, emerging markets and ever changing requirements, it is often argued that agile approaches to software development are mandatory. Some even demand to develop information systems without conceptual models, because they were likely to be outdated even before the software is implemented. While such a proposal is not acceptable for serious reasons, conceptual modelling is indeed facing a remarkable challenge in times of change. On the one hand, economics demand for reuse and interoperability, hence, for stable references. On the other hand, freezing structures is likely to compromise a software system’s adaptability. Based on an analysis of this conflict and further challenges, it will be shown how languages for conceptual modelling can be designed to support both, the need for reference and the demand for change.

Keywords

  • Conceptual modelling
  • Modelling languages
  • Reuse
  • Flexibility
  • Abstraction
  • Learning

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-030-06234-7_5
  • Chapter length: 14 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   129.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-06234-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book
USD   169.99
Price excludes VAT (USA)
Fig. 1
Fig. 2
Fig. 3

Notes

  1. 1.

    “Through models we take the reality of the past and the possibilities of the future into the present.”

References

  • Atkinson, C., & Kühne, T. (2001). The Essence of multilevel metamodeling. In «UML» 2001—the unified modeling language. Modeling languages, concepts, and tools (pp. 19–33). Berlin, London, New York: Springer.

    CrossRef  Google Scholar 

  • Bateson, G. (1972). Steps to an ecology of mind. Chicago: University of Chicago Press.

    Google Scholar 

  • Beck, K. (2000). Extreme programming explained: Embrace change. Boston: Addison-Wesley.

    Google Scholar 

  • Becker, J., Algermissen, L., Niehaves, B., & Delfmann, P. (2005). Business process reference models for reorganizing public administrations-a case study. Schriftenreihe Informatik, Electronic Government, 134–142.

    Google Scholar 

  • Becker, J., Delfmann, P., & Knackstedt, R. (2007). Adaptive reference modeling: Integrating configurative and generic adaptation techniques for information models. In Reference modeling: Efficient information systems design through reuse of information models (pp. 27–58).

    Google Scholar 

  • Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. New York, London: W.W. Norton & Company.

    Google Scholar 

  • Clark, T., Sammut, P., & Willans, J. (2008). Superlanguages: Developing languages and applications with XMF. London: Middlesex University London.

    Google Scholar 

  • Davidson, C., Goldberg, D., & Jones, Z. (2010). The future of thinking: Learning institutions in a digital age. Cambridge, MA: MIT Press.

    CrossRef  Google Scholar 

  • Derrida, J. (1976). Of grammatology. Baltimore: Johns Hopkins University Press.

    Google Scholar 

  • Dijkstra, E. W. (1972). The humble programmer. Communications of the ACM, 15(10), 859–866.

    CrossRef  Google Scholar 

  • Domingos, P. (2017). The master algorithm: How the quest for the ultimate learning machine will remake our world. Penguin Books Ltd.

    Google Scholar 

  • Evans, J., & Rzhetsky, A. (2010). Machine science. Science, 329(5990), 399–400.

    CrossRef  Google Scholar 

  • Fettke, P., & Loos, P. (2007). Reference modeling for business systems analysis. Hershey: Idea Group.

    CrossRef  Google Scholar 

  • Fowler, M., & Beck, K. (2010). Refactoring: Improving the design of existing code. Boston: Addison-Wesley.

    Google Scholar 

  • Frank, U. (2014). Multilevel modeling: Toward a new paradigm of conceptual modeling and information systems design. Business & Information Systems Engineering, 6(6), 319–337.

    CrossRef  Google Scholar 

  • Hellmann, S., Lehmann, J., & Auer, S. (2008). Learning of OWL class descriptions on very large knowledge bases. In Proceedings of the 2007 International Conference on Posters and Demonstrations (Vol. 401, pp. 102–103).

    Google Scholar 

  • Hoppenbrouwers, S. J. B. A. (2003). Freezing language: Conceptualisation processes across ICT-supported organisations.

    Google Scholar 

  • Kant, I. (1998). Critique of pure reason. In P. Guyer & A. Wood (Eds.), The Cambridge Edition of the Works of Immanuel Kant. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511804649.

  • King, R. D., Rowland, J., Oliver, S. G., Young, M., Aubrey, W., Byrne, E., et al. (2009). The automation of science. Science, 324(5923), 85–89.

    CrossRef  Google Scholar 

  • Luhmann, N. (1967). Soziologische Aufklärung. Soziale Welt: Zeitschrift Für Sozialwissenschaftliche Forschung, 18(2/3), 97–123.

    Google Scholar 

  • Mahr, B. (2015). Modelle und ihre Befragbarkeit: Grundlagen einer allgemeinen Modelltheorie. Erwägen Wissen Ethik, 26(3), 329–342.

    Google Scholar 

  • Meyer, B. (2014). Agile!: The good, the hype and the ugly. Springer.

    Google Scholar 

  • Pentland, A. (2015). Social Physics - how social networks can make us smarter. Penguin LCC US.

    Google Scholar 

  • Rorty, R. (2000). Universality and truth. Rorty and his critics (pp. 1–30). Oxford: Blackwell.

    Google Scholar 

  • Völker, J., & Niepert, M. (2011). Statistical schema induction. In Proceedings of the 8th Extended Semantic Web Conference on the Semantic Web: Research and Applications-Volume Part I (pp. 124–138). Heidelberg: Springer Verlag.

    Google Scholar 

  • Wartofsky, M. (1979). Models: Representation and the scientific understanding (R. Cohen, Ed.). Sprinter Netherlands.

    Google Scholar 

  • Wittgenstein, L. (1973). Philosophical investigations. Wiley-Blackwell.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ulrich Frank .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Verify currency and authenticity via CrossMark

Cite this chapter

Frank, U. (2019). Linguistic Structures in the Light of the Digital Transformation: Addressing the Conflict Between Reference and Change. In: Bergener, K., Räckers, M., Stein, A. (eds) The Art of Structuring. Springer, Cham. https://doi.org/10.1007/978-3-030-06234-7_5

Download citation