IDEAS home Printed from https://ideas.repec.org/a/igg/jswis0/v7y2011i2p45-64.html
   My bibliography  Save this article

Using Similarity-Based Approaches for Continuous Ontology Development

Author

Listed:
  • Maryam Ramezani

    (SAP Research, Germany)

Abstract

This paper presents novel algorithms for learning semantic relations from an existing ontology or concept hierarchy. The authors suggest recommendation of semantic relations for supporting continuous ontology development, i.e., the development of ontologies during their use in social semantic bookmarking, semantic wiki, or other Web 2.0 style semantic applications. This paper assists users in placing a newly added concept in a concept hierarchy. The proposed algorithms are evaluated using datasets from Wikipedia category hierarchy and provide recommendations.

Suggested Citation

  • Maryam Ramezani, 2011. "Using Similarity-Based Approaches for Continuous Ontology Development," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 7(2), pages 45-64, April.
  • Handle: RePEc:igg:jswis0:v:7:y:2011:i:2:p:45-64
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jswis.2011040103
    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:7:y:2011:i:2:p:45-64. 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.