IDEAS home Printed from https://ideas.repec.org/p/rom/confkm/30.html
   My bibliography  Save this paper

Text Mining Technology To Support Enterprise Knowledge Management

Author

Listed:
  • Domenico CONSOLI

    (Universit? Politecnica delle Marche, Ancona, Italy)

Abstract

A successful flexible enterprise must have an organization knowledge-based. In an era characterized by change, globalization and competition, knowledge is without doubt the most important asset for a company to gain a competitive advantage. Nowadays, in the enterprise, there is a huge amount of unstructured information especially in textual documents. The Text Mining technology, in the Knowledge Management platform, is the most important tool to manage continually this information.

Suggested Citation

  • Domenico CONSOLI, 2009. "Text Mining Technology To Support Enterprise Knowledge Management," Proceedings of the 4th International Conference on Knowledge Management: Projects, Systems and Technologies,Bucharest, November 6-7 2009 30, Faculty of Economic Cybernetics, Statistics and Informatics, Academy of Economic Studies and National Defence University "Carol I", DEPARTMENT FOR MANAGEMENT OF THE DEFENCE RESOURCES AND EDUCATION.
    • Handle: RePEc:rom:confkm:30
    as

    Download full text from publisher

    File URL: https://ccasp.ase.ro/KM2009/30.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    knowledge management; text mining; unstructured information; enterprise information system.;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

    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:rom:confkm:30. 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: Mogos Radu (email available below). General contact details of provider: https://edirc.repec.org/data/feasero.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.