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Towards Ontology-driven Information Systems: Redesign and Formalization of the REA Ontology

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  • F. GAILLY
  • G. POELS

Abstract

It is widely recognized that ontologies can be used to support the semantic integration and interoperability of heterogeneous information systems. Resource Event Agent (REA) is a well-known business ontology that was proposed for ontology-driven enterprise system development. However, the current specification is neither sufficiently explicit nor formal, and thus difficult to operationalize for use in ontology-driven business information systems. In this paper REA is redesigned and formalized following a methodology based on the reengineering extension of the METHONTOLOGY framework for ontology development. The redesign is focused on developing a UML representation of REA that improves upon existing representations and that can easily be transformed into a formal representation. The formal representation of REA is developed in OWL. The paper discusses the choices made in redesigning REA and in transforming REA’s UML representation into a OWL representation.

Suggested Citation

  • F. Gailly & G. Poels, 2007. "Towards Ontology-driven Information Systems: Redesign and Formalization of the REA Ontology," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/445, Ghent University, Faculty of Economics and Business Administration.
    • Handle: RePEc:rug:rugwps:07/445
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    File URL: http://wps-feb.ugent.be/Papers/wp_07_445.pdf
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    1. F. Gailly & G. Poels, 2007. "Ontology-driven Business Modelling: Improving the Conceptual Representation of the REA Ontology," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/444, Ghent University, Faculty of Economics and Business Administration.
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    Cited by:

    1. Sohei Ito & Dominik Vymětal & Roman Šperka & Michal Halaška, 2018. "Process mining of a multi-agent business simulator," Computational and Mathematical Organization Theory, Springer, vol. 24(4), pages 500-531, December.
    2. repec:opa:wpaper:0015 is not listed on IDEAS
    3. Guan, Jian & Levitan, Alan S. & Kuhn, John R., 2013. "How AIS can progress along with ontology research in IS," International Journal of Accounting Information Systems, Elsevier, vol. 14(1), pages 21-38.
    4. Dominik Vymetal & Sohei Ito, 2016. "The Formalization of a Generic Trading Company Model Using Software Agents as Active Elements," Working Papers 0029, Silesian University, School of Business Administration.
    5. F. Gailly & G. Poels, 2007. "Ontology-driven Business Modelling: Improving the Conceptual Representation of the REA Ontology," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/444, Ghent University, Faculty of Economics and Business Administration.

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    More about this item

    Keywords

    Business Ontologies; Interoperability; Ontology Engineering; UML; OWL;
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