IDEAS home Printed from https://ideas.repec.org/a/igg/jirr00/v1y2011i1p1-18.html
   My bibliography  Save this article

XKFitler: A Keyword Filter on XML Stream

Author

Listed:
  • Weidong Yang

    (Fudan University, China)

  • Fei Fang

    (Fudan University, China)

  • Nan Li

    (Fudan University, China)

  • Zhongyu (Joan) Lu

    (University of Huddersfield, UK)

Abstract

Most existing XML stream processing systems adopt full structured query languages, such as XPath or XQuery, but they are difficult for ordinary users to learn and use. Keyword search is a user-friendly information discovery technique that has been extensively studied for text documents. This paper presents an XML stream filter system called XKFitler, which is the first system for supporting keyword search over XML stream. In XKFitler, the concepts of XLCA (eXclusive Lowest Common Ancestor) and XLCA Connecting Tree (XLCACT) are used to define the search semantic and results of keywords, and present an approach to filter XML stream according to keywords. The prototype XKFilter is implemented in the experiments.

Suggested Citation

  • Weidong Yang & Fei Fang & Nan Li & Zhongyu (Joan) Lu, 2011. "XKFitler: A Keyword Filter on XML Stream," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 1(1), pages 1-18, January.
    • Handle: RePEc:igg:jirr00:v:1:y:2011:i:1:p:1-18
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2011010101
    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:jirr00:v:1:y:2011:i:1:p:1-18. 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.