IDEAS home Printed from https://ideas.repec.org/a/aes/infoec/vxiiy2008i4p65-68.html
   My bibliography  Save this article

Knowledge Management Architecture - Principles and Tendencies

Author

Listed:
  • Corina Ioana CRISTESCU
  • Marian Pompiliu CRISTESCU

Abstract

Algorithmic research is an established knowledge engineering process that has allowed researchers to identify new or significant problems, to better understand existing approaches and experimental results, and to obtain new, effective and efficient solutions. While algorithmic researchers regularly contribute to this knowledge base by proposing new problems and novel solutions, the processes currently used to share this knowledge are inefficient, resulting in unproductive overhead. Most of these publication-centered processes lack explicit high-level knowledge structures to support efficient knowledge management. The authors describe a problem-centered collaborative knowledge management architecture associated with Computational Problem Solving (CPS).

Suggested Citation

  • Corina Ioana CRISTESCU & Marian Pompiliu CRISTESCU, 2008. "Knowledge Management Architecture - Principles and Tendencies," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 0(4), pages 65-68.
  • Handle: RePEc:aes:infoec:v:xii:y:2008:i:4:p:65-68
    as

    Download full text from publisher

    File URL: http://www.revistaie.ase.ro/content/48/CRISTESCU%20Marian%20Pompiliu%20&%20CRISTESCU%20Corina%20Ioana.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:xii:y:2008:i:4:p:65-68. 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.