IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v17y2015i4d10.1007_s10796-014-9525-2.html
   My bibliography  Save this article

Service discovery acceleration with hierarchical clustering

Author

Listed:
  • Zijie Cong

    (University Rey Juan Carlos)

  • Alberto Fernandez

    (University Rey Juan Carlos)

  • Holger Billhardt

    (University Rey Juan Carlos)

  • Marin Lujak

    (University Rey Juan Carlos)

Abstract

This paper presents an efficient Web Service Discovery approach based on hierarchical clustering. Conventional web service discovery approaches usually organize the service repository in a list manner, therefore service matchmaking is performed with linear complexity. In this work, services in a repository are clustered using hierarchical clustering algorithms with a distance measure from an attached matchmaker. Service discovery is then performed over the resulting dendrogram (binary tree). In comparison with conventional approaches that mostly perform exhaustive search, we show that service-clustering method brings a dramatic improvement on time complexity with an acceptable loss in precision.

Suggested Citation

  • Zijie Cong & Alberto Fernandez & Holger Billhardt & Marin Lujak, 2015. "Service discovery acceleration with hierarchical clustering," Information Systems Frontiers, Springer, vol. 17(4), pages 799-808, August.
    • Handle: RePEc:spr:infosf:v:17:y:2015:i:4:d:10.1007_s10796-014-9525-2
    DOI: 10.1007/s10796-014-9525-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-014-9525-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-014-9525-2?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Carlos Iván Chesñevar & Eva Onaindia & Sascha Ossowski & George Vouros, 2015. "Special issue on agreement technologies," Information Systems Frontiers, Springer, vol. 17(4), pages 707-711, August.
    2. Zong-chang Yang, 2021. "Vector Gravitation Clustering Networks," Information Systems Frontiers, Springer, vol. 23(3), pages 695-707, June.
    3. Martin Garriga & Alan De Renzis & Ignacio Lizarralde & Andres Flores & Cristian Mateos & Alejandra Cechich & Alejandro Zunino, 2018. "A structural-semantic web service selection approach to improve retrievability of web services," Information Systems Frontiers, Springer, vol. 20(6), pages 1319-1344, December.
    4. Kimberly García & Sonia Mendoza & Dominique Decouchant & Patrick Brézillon, 0. "Facilitating resource sharing and selection in ubiquitous multi-user environments," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
    5. Kimberly García & Sonia Mendoza & Dominique Decouchant & Patrick Brézillon, 2018. "Facilitating resource sharing and selection in ubiquitous multi-user environments," Information Systems Frontiers, Springer, vol. 20(5), pages 1075-1095, October.
    6. Amit V. Deokar & Jie Tao, 0. "OrgMiner: A Framework for Discovering User-Related Process Intelligence from Event Logs," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    7. Amit V. Deokar & Jie Tao, 2021. "OrgMiner: A Framework for Discovering User-Related Process Intelligence from Event Logs," Information Systems Frontiers, Springer, vol. 23(3), pages 753-772, June.
    8. Martin Garriga & Alan De Renzis & Ignacio Lizarralde & Andres Flores & Cristian Mateos & Alejandra Cechich & Alejandro Zunino, 0. "A structural-semantic web service selection approach to improve retrievability of web services," Information Systems Frontiers, Springer, vol. 0, pages 1-26.

    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:spr:infosf:v:17:y:2015:i:4:d:10.1007_s10796-014-9525-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.