IDEAS home Printed from
   My bibliography  Save this article

Modeling the Data Entities used in the Financial Diagnosis through Onthologies


  • Ph.D Obancea Georgiana Daniela
  • Ph.D Professor Ilie Tamas


The field of economy and finance is a conceptually rich domain where information is complex, huge in volume and a highly valuable business product by itself. The correct perception of the financial condition of a company is dependent upon the quality of its information processing system and also an important role has the analyst’s expertise. Monitoring and correcting inappropriate conditions become critical tasks, particularly to small and medium companies, where the presence of an expert is not affordable. A system capable of spotting the condition and suggesting alternative actions to control anomalies brings important advantages to the company. Effective financial diagnosis requires accurate, timely and relevant information. The ideal system will be one able not only to analyze the financial problems, but also to suggest the solutions. In order to accomplish these tasks, the artificial intelligence technologies offer a valid solution. In this research, we propose some possibilities to identify and integrate the data structures involved in the financial diagnosis, through the use of onthologies.

Suggested Citation

  • Ph.D Obancea Georgiana Daniela & Ph.D Professor Ilie Tamas, 2009. "Modeling the Data Entities used in the Financial Diagnosis through Onthologies," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 47-54.
  • Handle: RePEc:ers:journl:v:xii:y:2009:i:4:p:47-54

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    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:ers:journl:v:xii:y:2009:i:4:p:47-54. 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: (Marios Agiomavritis). 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.