Skip to main content
SpringerLink
Log in

A Domain Model for the IST Infrastructure

  • Conference paper
Interoperability of Enterprise Software and Applications

Summary

A model driven engineering (MDE) approach is positioned w.r.t. collaborations of multiple agents acquiring information society technology (IST) capabilities. Our focus is on the stakeholders of work systems, their adaptive cycles, and their aligned assets, computation independent models in particular. When referring to the state-of-the-art in the software application interoperability area, three “missing” fragments of the domain model for the IST Infrastructure are explored: a Total Asset Methodology (TAM), an Extended Generic Activity Model (EGAM), and a concept for TOken-based eXecution In Knowledge Spaces (TOXIKS).

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abramov V.A., J.B.M. Goossenaerts, P. De Wilde, L. Correia (2005) Ontological stratification in an ecology of infohabitants. In: E. Arai, J. Goossenaerts, F. Kimura, K. Shirase, (eds.) Knowledge and Skill Chains in Engineering and Manufacturing: Information Infrastructure in the Era of Global Communications, Springer, pp 101–109.

    Google Scholar 

  2. Ackoff, R.L. (1970) A Concept of Corporate Planning, Wiley-Interscience.

    Google Scholar 

  3. Aerts, A.T.M., J.B.M. Goossenaerts, D.K. Hammer & J.C. Wortmann, 2004, “Architectures in context: on the evolution of business, application software, and ICT platform architectures,” Information & Management, vol. 41, no. 6.

    Google Scholar 

  4. Alter, S (2003) 18 reasons why IT-reliant work-systems should replace the “IT-artifact” as the core subject matter of the IS field. Communications of the Association for Information Systems, Vol. 12, 2003, pp. 366–395.

    Google Scholar 

  5. Arai, E., J. Goossenaerts, F. Kimura, K. Shirase, editors (2005) Knowledge and Skill Chains in Engineering and Manufacturing: Information Infrastructure in the Era of Global Communications, Springer.

    Google Scholar 

  6. Berkers, F., Goossenaerts, J., Hammer, D.K., Wortmann, J.C., 2001, Human Models and Data in the Ubiquitous Information Infrastructure. In: H. Arisawa, Y. Kambayashi, V. Kumar, H.C. Mayr, I. Hunt (eds) Conceptual Modeling for New Information Systems Technologies. LNCS 2465, Springer Verlag, pp 91–104

    Google Scholar 

  7. Boehm, B., Egyed, A., Kwan, J., Port, D., Shah, A., Madachy, R. (1998) Applying the WinWin Spiral Model: a Case Study, IEEE Computer, July 1998, pp 33–44.

    Google Scholar 

  8. Bunge, M. (1983). Epistemology & Methodology I: Exploring the World, Treatise on Basic Philosophy Vol. 5, Reidel, Boston.

    Google Scholar 

  9. Dick, J., J. Chard, 2003, Requirements-driven and Model-driven Development: Combining the Benefits of Systems Engineering, Telelogic White Paper, www.telelogic.com

    Google Scholar 

  10. DoDAF (2004) DoD Architecture Framework Working Group: DoD Architecture Framework Version 1.0, Volume 1: Definitions and Guidelines, 9 February 2004.

    Google Scholar 

  11. Goossenaerts, J.B.M. (2004) Interoperability in the Model Accelerated Society (2004) in: P. Cunningham and M. Cunningham (2004) eAdoptation and the Knowledge Economy: Issues, Applications, Case Studies. IOS Press Amsterdam, pages 225–232.

    Google Scholar 

  12. Goossenaerts, J.B.M. (2005) Architecting an ubiquitous and model driven information infrastructure. In: E. Arai, J. Goossenaerts, F. Kimura, K. Shirase, (eds.) Knowledge and Skill Chains in Engineering and Manufacturing: Information Infrastructure in the Era of Global Communications, Springer.

    Google Scholar 

  13. IEEE. IEEE Recommended Practice for Architectural Description of Software-Intensive Systems. IEEE Std 1471-2000.

    Google Scholar 

  14. Kruchten, P., Architectural Blueprints-The “4+1” View Model of Software Architecture, IEEE Software, November 1995, 12(6)

    Google Scholar 

  15. Lechner, U. (2002) Peer-to-Peer beyond File Sharing. In: Unger, H., Boehme, T., & Mikler, A. Innovative Internet Computing Systems, LNCS 2346, pp. 229–249, Springer Verlag.

    Google Scholar 

  16. Maybury, M. (2001) Collaborative Virtual Environments for Analysis and Decision Support, Communications of the ACM, Dec. 2001, 44(12) pp. 51–54

    Google Scholar 

  17. McCarthy, I., K. Ridgway, M. Leseure, Fieller, N. (2000) Organisational diversity, evolution and cladistic classifications, Omega, The International Journal of Management Science, 28, pages 77–95

    Google Scholar 

  18. Park, J. & Ram, S. (2004) Information Systems Interoperability: What lies beneath? ACM Transactions on Information Systems, 22(4) pp. 595–632

    Article  Google Scholar 

  19. Parsons, J. & Wand, Y. (2000) Emancipating Instances from the Tyranny of Classes in Information Modeling, ACM Transactions on Database Systems, 25(2) pp 228–268

    Article  Google Scholar 

  20. Virkkunen, J. & K. Kuutti, “Understanding organizational learning by focusing on “activity systems”,” Accounting, Management and Information Technologies, vol. 10, no. 4, pp. 291–319, Oct. 2000.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept. of Technology Management, Eindhoven University of Technology, POBox 513, 5600 MB, Eindhoven, The Netherlands

    Jan B. M. Goossenaerts

Authors
  1. Jan B. M. Goossenaerts
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Centre Universitaire d’Informatique, Department of Information Systems, Université de Genève, 24 rue du Général-Dufour, CH-1211, Genève 4, Switzerland

    Dimitri Konstantas (Prof. Dr. Eng.) & Michel Léonard (Prof. Dr.) (Prof. Dr. Eng.) &  (Prof. Dr.)

  2. Laboratoire d’Automatique et de Productique, Signal et Images, Université Bordeaux 1, 351, cours de la Libération, 33405, Talence cedex, France

    Jean-Paul Bourrières (Prof. Dr.) (Prof. Dr.)

  3. Bâtiment LORIA, Université Henri Poincaré Nancy 1, BP 239, 54506, Vandoeuvre Lès Nancy cedex, France

    Nacer Boudjlida (Prof. Dr.) (Prof. Dr.)

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag London Limited

About this paper

Cite this paper

Goossenaerts, J.B.M. (2006). A Domain Model for the IST Infrastructure. In: Konstantas, D., Bourrières, JP., Léonard, M., Boudjlida, N. (eds) Interoperability of Enterprise Software and Applications. Springer, London. https://doi.org/10.1007/1-84628-152-0_33

Download citation

  • DOI: https://doi.org/10.1007/1-84628-152-0_33

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-151-8

  • Online ISBN: 978-1-84628-152-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation