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

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Semantic Agent Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 344))

Abstract

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.

Invited chapter.

We would like to thank Frans Decuyper (FMET) and Guido Dedene (Katholieke Universiteit Leuven) for their support and input.

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References

  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)

    Chapter  Google Scholar 

  2. Cardoso, J.: The semantic web vision: Where are we? IEEE Intelligent Systems, 22–26 (September/October 2007)

    Google Scholar 

  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. 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)

    Chapter  Google Scholar 

  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. De Leenheer, P.: Ontology Elicitation. In: Liu, L., Ôzsu, T. (eds.) Encyclopedia of Database Systems. Springer, Heidelberg (2009)

    Google Scholar 

  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. Gasevic, D., Djuric, D., Devedzic, V.: Model Driven Architecture and Ontology Development, 2nd edn. Springer, Heidelberg (2009)

    Google Scholar 

  9. Halpin, T.: Metaschemas for ER, ORM and UML data models: A comparison. J. Database Manag. 13(2), 20–30 (2002)

    Article  Google Scholar 

  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. 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. Maes, R.: Reconsidering information management through a generic framework. PrimaVera Working Paper 99-15 (1999)

    Google Scholar 

  13. Spyns, P., Meersman, R., Jarrar, M.: Data modelling versus ontology engineering. SIGMOD Record 31(4), 12–17 (2002)

    Article  Google Scholar 

  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)

    Chapter  Google Scholar 

  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 

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De Leenheer, P., de Moor, A., Christiaens, S. (2011). SBVR-Driven Information Governance: A Case Study in the Flemish Public Administration. In: Elçi, A., Koné, M.T., Orgun, M.A. (eds) Semantic Agent Systems. Studies in Computational Intelligence, vol 344. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18308-9_4

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  • DOI: https://doi.org/10.1007/978-3-642-18308-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18307-2

  • Online ISBN: 978-3-642-18308-9

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