IDEAS home Printed from https://ideas.repec.org/a/bjz/ajisjr/656.html
   My bibliography  Save this article

Semantics and OWL in UDDI Registry: Improving the Discovery Process of Web Services

Author

Listed:
  • Elira Hoxha
  • Dhimitri Tole
  • Kreshnik Vukatana

Abstract

The discovery process of web services becomes a problem in terms of finding the most appropriate service in that huge set of various items published throughout the web. In this paper we will describe some of the existing mechanisms, which come as proposals for improving the discovery process of web services. By using one of these approaches, we will propose a semantic-based architecture, composed of many collaborating elements and then we will show a part of the implementation of the matching algorithm, between the user request and the published services. This matching is based on the ontological description of services and will be done by using the owl semantic specification.

Suggested Citation

  • Elira Hoxha & Dhimitri Tole & Kreshnik Vukatana, 2014. "Semantics and OWL in UDDI Registry: Improving the Discovery Process of Web Services," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 3, March.
  • Handle: RePEc:bjz:ajisjr:656
    DOI: 10.5901/ajis.2014.v3n1p341
    as

    Download full text from publisher

    File URL: https://www.richtmann.org/journal/index.php/ajis/article/view/2095
    Download Restriction: no

    File URL: https://www.richtmann.org/journal/index.php/ajis/article/view/2095/2082
    Download Restriction: no

    File URL: https://libkey.io/10.5901/ajis.2014.v3n1p341?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Walter Binder & Ion Constantinescu & Boi Faltings, 2007. "A Flexible Directory Query Language for the Efficient Processing of Service Composition Queries," International Journal of Web Services Research (IJWSR), IGI Global, vol. 4(1), pages 59-79, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Graham, M.A. & Mukherjee, A. & Chakraborti, S., 2012. "Distribution-free exponentially weighted moving average control charts for monitoring unknown location," Computational Statistics & Data Analysis, Elsevier, vol. 56(8), pages 2539-2561.

    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:bjz:ajisjr:656. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Richtmann Publishing Ltd (email available below). General contact details of provider: https://www.richtmann.org/journal/index.php/ajis .

    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.