IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789812819079_0013.html
   My bibliography  Save this book chapter

Making Folksonomy Machine-Understandable

In: Challenges In Information Technology Management

Author

Listed:
  • PRABODH SHRESTHA

    (Information Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle Baltimore, MD 21250, USA)

  • LEVA ZHOU

    (Information Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle Baltimore, MD 21250, USA)

Abstract

A recent surge of interest in social tagging, also known as folksonomy, challenges the formal and structured knowledge representation in the Semantic Web. Social tagging is attractive in its low barrier to entry and personal and community aspects. However, the benefits of social tagging come at the cost of reduced machine-understandable and reduce effectiveness in information retrieval and organization. To address the above limitations, we propose a framework, UNITAG, to enhance existing social tagging systems with semantic information. It is shown that the framework facilitates information sharing in folksonomy while retaining the usability of folksonomy.

Suggested Citation

  • Prabodh Shrestha & Leva Zhou, 2008. "Making Folksonomy Machine-Understandable," World Scientific Book Chapters, in: Man-Chung Chan & Ronnie Cheung & James N K Liu (ed.), Challenges In Information Technology Management, chapter 13, pages 83-90, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812819079_0013
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789812819079_0013
    Download Restriction: Ebook Access is available upon purchase.
    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789812819079_0013
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:wsi:wschap:9789812819079_0013. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    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.