IDEAS home Printed from https://ideas.repec.org/a/aes/infoec/v17y2013i3p75-86.html
   My bibliography  Save this article

Source Code Plagiarism Detection Method Using Protégé Built Ontologies

Author

Listed:
  • Ion SMEUREANU
  • Bogdan IANCU

Abstract

Software plagiarism is a growing and serious problem that affects computer science universities in particular and the quality of education in general. More and more students tend to copy their thesis’s software from older theses or internet databases. Checking source codes manually, to detect if they are similar or the same, is a laborious and time consuming job, maybe even impossible due to existence of large digital repositories. Ontology is a way of describing a document’s semantic, so it can be easily used for source code files too. OWL Web Ontology Language could find its applicability in describing both vocabulary and taxonomy of a programming language source code. SPARQL is a query language based on SQL that extracts saved or deducted information from ontologies. Our paper proposes a source code plagiarism detection method, based on ontologies created using Protégé editor, which can be applied in scanning students' theses' software source code.

Suggested Citation

  • Ion SMEUREANU & Bogdan IANCU, 2013. "Source Code Plagiarism Detection Method Using Protégé Built Ontologies," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 17(3), pages 75-86.
    • Handle: RePEc:aes:infoec:v:17:y:2013:i:3:p:75-86
    as

    Download full text from publisher

    File URL: http://revistaie.ase.ro/content/67/07%20-%20Smeureanu,%20Iancu.pdf
    Download Restriction: no
    ---><---

    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:aes:infoec:v:17:y:2013:i:3:p:75-86. 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: Paul Pocatilu (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.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.