IDEAS home Printed from https://ideas.repec.org/a/igg/jitwe0/v11y2016i1p22-43.html
   My bibliography  Save this article

A Similarity Measure across Ontologies for Web Services Discovery

Author

Listed:
  • Aissa Fellah

    (EEDIS Laboratory, DjillaliLiabes University of Sidi Bel Abbes, Sidi Bel Abbes, Algeria)

  • Mimoun Malki

    (LabRI-SBA Laboratory, Ecole Supérieure en Informatique de Sidi Bel-Abbes, Sidi Bel Abbes, Algeria)

  • Atilla Elci

    (Department of Electrical-Electronics Engineering, Aksaray University, Merkez, Turkey)

Abstract

Given the critical and difficult nature of discovering Web services in the development process of service oriented architectures, several studies have been proposed to solve this problem. There is a real need to work for matching semantic Web services which use different ontologies. In responding to this need, measuring semantic similarity between SWS may be reduced to the calculation of similarity between ontological concepts. This work is a contribution to achieve semantic interoperability for Web services in a multi-ontology environment, for which the authors present a generic framework for Web services discovery. Here their focus is on the semantic similarity measure-based core of their framework and the authors present a novel algorithm for concepts matching between different ontologies. Results of the experiments confirm the viability of the semantic similarity measure.

Suggested Citation

  • Aissa Fellah & Mimoun Malki & Atilla Elci, 2016. "A Similarity Measure across Ontologies for Web Services Discovery," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 11(1), pages 22-43, January.
    • Handle: RePEc:igg:jitwe0:v:11:y:2016:i:1:p:22-43
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJITWE.2016010102
    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:jitwe0:v:11:y:2016:i:1:p:22-43. 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.