IDEAS home Printed from
   My bibliography  Save this paper

Enterprise Ontology-Based Structuring of Conceptual Data Modeling Patterns




  • G. POELS
  • -


This paper presents two ‘building block’ patterns for constructing conceptual data models for enterprises. These patterns compose a structuring framework for positioning existing conceptual data modeling patterns, facilitating their use and integration in models. The first ‘building block’ pattern is based on the REA enterprise ontology and captures common concepts of enterprise reality. The second pattern is based on the UFO foundational ontology and captures common abstraction mechanisms used in conceptual data modeling. The paper demonstrates the use of the proposed patterns by analyzing a catalogue of conceptual data modeling patterns, which presents a digest of patterns frequently observed in practice. The paper also illustrates how the proposed patterns can guide modelers in integrating patterns from this catalogue in conceptual data models for enterprises.

Suggested Citation

  • W. Laurier & G. Poels & -, 2009. "Enterprise Ontology-Based Structuring of Conceptual Data Modeling Patterns," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/621, Ghent University, Faculty of Economics and Business Administration.
  • Handle: RePEc:rug:rugwps:09/621

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    Conceptual data model; enterprise model; pattern; enterprise ontology; abstraction mechanism;

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rug:rugwps:09/621. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Nathalie Verhaeghe). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.