IDEAS home Printed from https://ideas.repec.org/a/ddj/fseeai/y2010i1p101-108.html
   My bibliography  Save this article

The Role of Ontologies for Designing Accounting Information Systems

Author

Listed:
  • Adrian LUPASC
  • Ioana LUPASC

    (Dunarea de Jos University of Galati, Romania)

  • Gheorghe NEGOESCU

    (Ovidius University of Constanta, Romania)

Abstract

The accounting ontologies were conceptualized as a framework for building accounting information systems in a shared data environment, within enterprises or between different enterprises. The model’s base feature was an object pattern consisting of two mirror-image that represented conceptual the input and output components of a business process. The REA acronym derives from that pattern’s structure, which consisted of economic resources, economic events, and economic agents. The REA model was proposed as a means for an organization to capture the signification of economic exchanges between two business partners. The REA ontology provides an alternative for modelling an enterprise’s economic resources, economic events, economic agents, and their relationships. Resources are considerate organization assets that are able to generate revenue for implicated parties. Events provide a source of detailed data in this approach. Agents participate in events and can affect some resources. They can be an individual or organization inside or outside the organization that is capable of controlling economic resources and interacting with other agents. The objective of this work is to offer an understandable of this framework and to explain how this model can help us via the identification of the afferent concepts.

Suggested Citation

  • Adrian LUPASC & Ioana LUPASC & Gheorghe NEGOESCU, 2010. "The Role of Ontologies for Designing Accounting Information Systems," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 101-108.
  • Handle: RePEc:ddj:fseeai:y:2010:i:1:p:101-108
    as

    Download full text from publisher

    File URL: http://www.ann.ugal.ro/eco/Doc2010/Lupasc_Lupasc_Negoescu.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alzamil, Zamil & Appelbaum, Deniz & Nehmer, Robert, 2020. "An ontological artifact for classifying social media: Text mining analysis for financial data," International Journal of Accounting Information Systems, Elsevier, vol. 38(C).
    2. Litherland, Kate & Carmichael, Patrick & Martínez-García, Agustina, 2013. "Ontology-based e-assessment for accounting: Outcomes of a pilot study and future prospects," Journal of Accounting Education, Elsevier, vol. 31(2), pages 162-176.

    More about this item

    Keywords

    REA ontology; accounting information systems; business process; economic exchange;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    Statistics

    Access and download statistics

    Corrections

    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:ddj:fseeai:y:2010:i:1:p:101-108. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gianina Mihai (email available below). General contact details of provider: https://edirc.repec.org/data/fegalro.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.