IDEAS home Printed from https://ideas.repec.org/a/igg/jiit00/v8y2012i1p1-9.html
   My bibliography  Save this article

Applying Semantic Web Technologies to Ontology Alignment

Author

Listed:
  • Hayden Wimmer

    (University of Maryland - Baltimore County (UMBC), USA)

  • Victoria Yoon

    (Virginia Commonwealth University, USA)

  • Roy Rada

    (University of Maryland - Baltimore County (UMBC), USA)

Abstract

Ontologies are the backbone of intelligent computing on the World Wide Web but also crucial in many decision support situations. Many sophisticated tools have been developed to support working with ontologies, including prominently exploiting the vast array of existing ontologies. A system called ALIGN is developed that demonstrates how to use freely available tools to facilitate ontology alignment. First two ontologies are built with the ontology editor Protégé and represented in OWL. ALIGN then accesses these ontologies via Java’s JENA framework and SPARQL queries. The efficacy of the ALIGN prototype is demonstrated on a drug-drug interaction problem. The prototype could readily be applied to other domains or be incorporated into decision support tools.

Suggested Citation

  • Hayden Wimmer & Victoria Yoon & Roy Rada, 2012. "Applying Semantic Web Technologies to Ontology Alignment," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 8(1), pages 1-9, January.
  • Handle: RePEc:igg:jiit00:v:8:y:2012:i:1:p:1-9
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jiit.2012010101
    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:jiit00:v:8:y:2012:i:1:p:1-9. 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.