IDEAS home Printed from https://ideas.repec.org/a/igg/jswis0/v6y2010i1p19-38.html
   My bibliography  Save this article

Enhancing Folksonomy-Based Content Retrieval with Semantic Web Technology

Author

Listed:
  • Rachanee Ungrangsi

    (Shinawatra University, Thailand)

  • Chutiporn Anutariya

    (Shinawatra University, Thailand)

  • Vilas Wuwongse

    (Asian Institute of Technology, Thailand)

Abstract

While Flickr, a widely-known photo sharing system, allows users to describe their own photos with tags (aka. folksonomy tags) for indexing purposes, its tag-based photo retrieval function is severely hampered by the inherent nature of folksonomy tags. This paper presents SemFlickr, an application which enhances the search in Flickr with its semantic query suggestion feature. SemFlickr employs SQORE, an ontology retrieval system, to retrieve relevant ontologies from the Semantic Web and then derives query term suggestions from those ontologies. To ensure that the highly related photos will appear at the top of the results, SemFlickr takes the ontological relations among the given query terms to assign tag scores and then generates its ranked results. Experimental outcomes are encouraging and reveal a number of useful insights for developing applications that integrate the Semantic Web and Web 2.0 together.

Suggested Citation

  • Rachanee Ungrangsi & Chutiporn Anutariya & Vilas Wuwongse, 2010. "Enhancing Folksonomy-Based Content Retrieval with Semantic Web Technology," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 6(1), pages 19-38, January.
    • Handle: RePEc:igg:jswis0:v:6:y:2010:i:1:p:19-38
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jswis.2010010102
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jswis0:v:6:y:2010:i:1:p:19-38. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.