IDEAS home Printed from
   My bibliography  Save this article

Web Content Mining Framework for Discovering University Formations’ Compatibility with the Market Needs


  • Camelia Elena CIOLAC

    () (The Bucharest Academy of Economic Studies, Romania)

  • Florica LUBAN

    () (The Bucharest Academy of Economic Studies, Romania)

  • Razvan Catalin DOBREA

    () (The Bucharest Academy of Economic Studies, Romania)


This paper aims to provide a decision tool for both academia and business in order to better reach convergence between the qualifications offered and demanded for fresh graduates. The study discovers the IT market’s request of capabilities by applying web-mining techniques on the main Romanian job web portals. Then, the study gathers information about the specific qualifications provided to students in both undergraduate and master computer science programs in five representative Romanian universities. Based on these findings, we propose a model to evaluate the degree of alignment of these two sets. The model is useful for all stakeholders: universities, companies including small and medium size enterprises, as a tool of career planning and it can be adapted to assess the best mobility program for students, as further discussed in the paper.

Suggested Citation

  • Camelia Elena CIOLAC & Florica LUBAN & Razvan Catalin DOBREA, 2010. "Web Content Mining Framework for Discovering University Formations’ Compatibility with the Market Needs," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 11(5), pages 1001-1016, December.
  • Handle: RePEc:rom:rmcimn:v:11:y:2010:i:5:p:1001-1016

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Salas-Velasco, Manuel, 2009. "Beyond lectures and tutorials: Formal on-the-job training received by young European university graduates," Research in Economics, Elsevier, vol. 63(3), pages 200-211, September.
    Full references (including those not matched with items on IDEAS)

    More about this item


    knowledge discovery; web content mining; e-recruitment; software agents; IT education.;

    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
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity


    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:rom:rmcimn:v:11:y:2010:i:5:p:1001-1016. 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: (Marian Nastase). 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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.