IDEAS home Printed from https://ideas.repec.org/a/igg/jwsr00/v15y2018i1p1-26.html
   My bibliography  Save this article

Automatic Adaptable Intentional Service Generating and Publishing Framework using OWL-S Annotation

Author

Listed:
  • Emna Khanfir

    (MIRACL, ISIMS, Sfax, Tunisia)

  • Raoudha Ben Djemaa

    (MIRACL, ISIMS, Sfax, Tunisia)

  • Ikram Amous

    (MIRACL, ISIMS, Sfax, Tunisia)

Abstract

This article presents a framework for automatic generation and publishing of these service descriptions in a register. This framework is an Adaptable Intentional Web Service-Publishing Framework (AIWS-PF). The authors opted for automatic generation because the service supplier is unaware of this new structure of services. For this reason, they chose to automatically generate the description of intentional adaptable service using semantic annotations and the automatic detection of service intention through Natural Language Processing techniques (NLP). Moreover, the authors proposed an extension of UDDI register so that it saves intentional, contextual and QoS information.

Suggested Citation

  • Emna Khanfir & Raoudha Ben Djemaa & Ikram Amous, 2018. "Automatic Adaptable Intentional Service Generating and Publishing Framework using OWL-S Annotation," International Journal of Web Services Research (IJWSR), IGI Global, vol. 15(1), pages 1-26, January.
    • Handle: RePEc:igg:jwsr00:v:15:y:2018:i:1:p:1-26
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJWSR.2018010101
    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:jwsr00:v:15:y:2018:i:1:p:1-26. 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.