Advertisement

A Hidden Power of Ontology Charts from Affordances to Environmental States

  • José CordeiroEmail author
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 527)

Abstract

Ontology Charts are a powerful model element in Organisational Semiotics used to depict a stable and precise view of a business system. They show affordances and ontological dependencies as, respectively, nodes and links between them. Spite their apparent simplicity, they are many times hard to create. In this paper we refer to some common issues regarding the creation of Ontology Charts. Nevertheless, they have a hidden power of defining anchors for a stable information system supported by the affordance concept. In NOMIS – a NOrmative Modelling of Information Systems – affordances are transformed to states and environmental states and used as stable state paths within an information system. This paper shows how this transformation takes place and some advantages and possibilities of using it.

Keywords

Information systems Information systems modelling Human-centred information systems Organisational Semiotics Ontology Charts NOMIS NOMIS views States Environmental States Business processes Goal and context modelling 

References

  1. 1.
    Stamper, R.: Signs, information, norms and systems. In: Holmqvist, B., et al. (eds.) Signs of Work. Walter de Gruyter, Berlin (1996)Google Scholar
  2. 2.
    Liu, K.: Semiotics in Information Systems Engineering. Cambridge University Press, Cambridge (2000)CrossRefGoogle Scholar
  3. 3.
    Cordeiro, J.: Normative approach to information systems modelling. Ph.D. thesis. The University of Reading, UK (2011)Google Scholar
  4. 4.
    Stamper, R., Althans, K., Backhouse, J.: MEASUR: method for eliciting, analysing and specifying user requirements. In: Olle, T.W., Verrijn-Stuart, A.A., Bhabuta, L. (eds.) Computer Assistance During the System Life Cycle, Proceedings of the IFIP WG 8.1 Working Conference on Computerized Assistance During the Information Systems Life Cycle, CRIS 1988, Egham, England, 19–22 September 1988, North Holland, pp. 67–115 (1988)Google Scholar
  5. 5.
    Gibson, J.: The Ecological Approach to Visual Perception. Houghton Mifflin, Boston (1979)Google Scholar
  6. 6.
    Stamper, R.: New directions for systems analysis and design. In: Filipe, J. (ed.) Enterprise Information Systems. Springer, Dordrecht (2000).  https://doi.org/10.1007/978-94-015-9518-6_2CrossRefGoogle Scholar
  7. 7.
    Dietz, J.: Enterprise Ontology: Theory and Methodology. Springer, Berlin (2006). https://link.springer.com/book/10.1007%2F3-540-33149-2CrossRefGoogle Scholar
  8. 8.
    Holt, A.: Organized Activity and Its Support by Computer. Kluwer Academic Publishers, Dordrecht (1997)CrossRefGoogle Scholar
  9. 9.
    Buckingham, R.A., Hirschheim, R.A., Land, F.F., Tully, C.J.: Information systems curriculum: a basis for course design. In: Information Systems Education: Recommendations and Implementation. Cambridge University Press, Cambridge (1987)Google Scholar
  10. 10.
    Cordeiro, J., Filipe, J., Liu, K.: Towards a human oriented approach to information systems development. In: Proceedings of the 3rd International Workshop on Enterprise Systems and Technology, Sofia, Bulgaria (2009)Google Scholar
  11. 11.
    Cordeiro, J., Filipe, J.: Comparative analysis of ontology charting with other modelling techniques. In: Proceedings of the 8th International Workshop on Organisational Semiotics, Toulouse (2005)Google Scholar
  12. 12.
    Bonacin, R., Baranauskas, M.C.C., Liu, K.: From ontology charts to class diagrams - semantic analysis aiding systems design. In: Proceedings of the 6th International Conference on Enterprise Information Systems, ICEIS 2004, Porto, Portugal. vol. 1, pp. 389–395 (2004)Google Scholar
  13. 13.
    Cordeiro, J., Liu, K.: UML 2 profiles for ontology charts and diplans - issues on meta-modelling. In: Proceedings of the 2nd International Workshop on Enterprise Modelling and Information Systems Architectures, St. Goar, Germany (2007)Google Scholar
  14. 14.
    Tsaramirsis, G., Poernomo, I.: Prototype generation from ontology charts. In: Fifth International Conference on Information Technology. New Generations, Las Vegas, NV, pp. 1177–1178 (2008)Google Scholar
  15. 15.
    Tsaramirsis, G., Yamin, M.: Generation of UML2 use cases from MEASUR’s ontology charts: a MDA approach. In: Lano, K., Zandu, R., Maroukian, K. (eds.) Model-Driven Business Process Engineering, pp. 67–76, Shariqah, United Arab Emirates, Bentham Science Publishers Ltd. (2014). ISBN 978-1-60805-893-8Google Scholar
  16. 16.
    Cordeiro, J.: Developing information systems with NOMIS – a model-driven system development approach. In: Proceedings of the Seventh International Symposium on Business Modeling and Software Design, Barcelona, Spain (2017)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2018

Authors and Affiliations

  1. 1.Setúbal School of TechnologyPolytechnic Institute of SetúbalSetúbalPortugal

Personalised recommendations