SBVR-Driven Information Governance: A Case Study in the Flemish Public Administration

  • Pieter De Leenheer
  • Aldo de Moor
  • Stijn Christiaens
Part of the Studies in Computational Intelligence book series (SCI, volume 344)


Databases persistently store data and provide standardised access to it for communities consisting of human as well as software agents. However, adequate information governance in such a bi-sortal setting requires more than that. Despite the rigorous formal structure that may have been imposed on a data set, if it cannot be disclosed to third parties, their value is practically zero. The ICT-outsourcing partnership between the Flemish Ministry of Education and Training (FMET) and EDS-Telindus, now HP, appreciated the subtle difference between data and information, and the need for more maturity regarding the governance of their vast (meta-)data landscape. This is shown by initiatives such as the development of a Data Warehouse and an Information Governance Organization.


Unify Modeling Language Business Intelligence Fact Type Business Context Swot Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Akkermans, H., Gordijn, J.: Ontology Engineering, Scientific Method and the Research Agenda. In: Staab, S., Svátek, V. (eds.) EKAW 2006. LNCS (LNAI), vol. 4248, pp. 112–125. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  2. 2.
    Cardoso, J.: The semantic web vision: Where are we? IEEE Intelligent Systems, 22–26 (September/October 2007)Google Scholar
  3. 3.
    Cranefeld, S.: UML and the Semantic Web. In: Proc. of the Semantic Web Working Symposium, pp. 113–130. Stanford University, CA (2001)Google Scholar
  4. 4.
    De Leenheer, P., de Moor, A., Meersman, R.: Context Dependency Management in Ontology Engineering: A Formal Approach. In: Spaccapietra, S., Atzeni, P., Fages, F., Hacid, M.-S., Kifer, M., Mylopoulos, J., Pernici, B., Shvaiko, P., Trujillo, J., Zaihrayeu, I. (eds.) Journal on Data Semantics VIII. LNCS, vol. 4380, pp. 26–56. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  5. 5.
    De Leenheer, P., Mens, T.: Ontology evolution: State of the art and future directions. In: Hepp, M., De Leenheer, P., de Moor, A., Sure, Y. (eds.) Ontology Management for the Semantic Web, Semantic Web Services, and Business Applications. Springer, Heidelberg (2008)Google Scholar
  6. 6.
    De Leenheer, P.: Ontology Elicitation. In: Liu, L., Ôzsu, T. (eds.) Encyclopedia of Database Systems. Springer, Heidelberg (2009)Google Scholar
  7. 7.
    De Leenheer, P., Christiaens, S., Meersman, R.: Business semantics management: a case study for competency-centric HRM. Journal of Computers For Industry (2010) (forthcoming) Google Scholar
  8. 8.
    Gasevic, D., Djuric, D., Devedzic, V.: Model Driven Architecture and Ontology Development, 2nd edn. Springer, Heidelberg (2009)Google Scholar
  9. 9.
    Halpin, T.: Metaschemas for ER, ORM and UML data models: A comparison. J. Database Manag. 13(2), 20–30 (2002)CrossRefGoogle Scholar
  10. 10.
    Hepp, M., De Leenheer, P., de Moor, A., Sure, Y. (eds.): Ontology Management for the Semantic Web, Semantic Web Services, and Business Applications. Springer, Heidelberg (2008)Google Scholar
  11. 11.
    Kankanhalli, A., Tan, B.C.Y., Wei, K.-K.: Contributing Knowledge to Electronic Knowledge Repositories: an Empirical Investigation. InMIS Quartely 29(1), 113–143 (2005)Google Scholar
  12. 12.
    Maes, R.: Reconsidering information management through a generic framework. PrimaVera Working Paper 99-15 (1999)Google Scholar
  13. 13.
    Spyns, P., Meersman, R., Jarrar, M.: Data modelling versus ontology engineering. SIGMOD Record 31(4), 12–17 (2002)CrossRefGoogle Scholar
  14. 14.
    Trog, D., Tang, Y., Meersman, R.: Towards ontological commitments with Ω-RIDL markup language. In: Paschke, A., Biletskiy, Y. (eds.) RuleML 2007. LNCS, vol. 4824, pp. 92–106. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  15. 15.
    Verheijen, G., Van Bekkum, J.: NIAM, an information analysis method. In: Proc. of the IFIP TC-8 Conference on Comparative Review of Information System Methodologies (CRIS 1982). North-Holland, Amsterdam (1982)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Pieter De Leenheer
    • 1
    • 2
  • Aldo de Moor
    • 2
    • 3
  • Stijn Christiaens
    • 2
  1. 1.Vrije Universiteit AmsterdamAmsterdam
  2. 2.Collibra nv/saBrussel
  3. 3.CommunitySenseTilburg

Personalised recommendations