Research Note: Ontology-Based Structuring of Conceptual Data Modeling Patterns | IGI Global Scientific Publishing
Research Note: Ontology-Based Structuring of Conceptual Data Modeling Patterns

Research Note: Ontology-Based Structuring of Conceptual Data Modeling Patterns

Wim Laurier (Ghent University, Ghent, Belgium, Faculté ESPO, Université Saint-Louis, Brussels, Belgium) and Geert Poels (Department of Management Information Science and Operations Management, Faculty of Economics and Business Administration, Ghent University, Ghent, Belgium)
Copyright: © 2012 |Volume: 23 |Issue: 3 |Pages: 15
ISSN: 1063-8016|EISSN: 1533-8010|EISBN13: 9781466614956|DOI: 10.4018/jdm.2012070103
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MLA

Laurier, Wim, and Geert Poels. "Research Note: Ontology-Based Structuring of Conceptual Data Modeling Patterns." JDM vol.23, no.3 2012: pp.50-64. https://doi.org/10.4018/jdm.2012070103

APA

Laurier, W. & Poels, G. (2012). Research Note: Ontology-Based Structuring of Conceptual Data Modeling Patterns. Journal of Database Management (JDM), 23(3), 50-64. https://doi.org/10.4018/jdm.2012070103

Chicago

Laurier, Wim, and Geert Poels. "Research Note: Ontology-Based Structuring of Conceptual Data Modeling Patterns," Journal of Database Management (JDM) 23, no.3: 50-64. https://doi.org/10.4018/jdm.2012070103

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Abstract

This research note shows that the scope of conceptual data modeling patterns can be identified, clarified, and explicitly represented by positioning them into an ontology-based framework. A clear and explicit definition of scope could help deciding which patterns match which parts of the domain to be represented. The authors demonstrate their argument by positioning existing conceptual data modeling patterns into a two-dimensional structuring framework that is constructed using two ontology-derived ‘benchmark’ patterns: an enterprise pattern for representing transactions (derived from the REA domain ontology) and an abstraction pattern for representing reality at different levels of abstraction (derived from the UFO foundational ontology). By means of an application scenario dealing with the conceptual design of a transactional enterprise database, the authors illustrate how the framework can be used to evaluate the relevancy and completeness of candidate patterns with respect to the problem at hand.

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