Journal of Computer Science

A UDDI Search Engine for SVG Federated Medical Imaging Web Services

Sabah Mohammed, Jinan Fiaidhi and Marshal Hahn

DOI : 10.3844/jcssp.2006.303.313

Journal of Computer Science

Volume 2, Issue 4

Pages 303-313


With more and more medical web services appearing on the web, web service's discovery mechanism becomes essential. UDDI is an online registry standard to facilitate the discovery of business partners and services. However, most medical imaging applications exist within their own protected domain and were never designed to participate and operate with other applications across the web. However, private UDDI registries in federated organizations should be able to share the service descriptions as well as to access them if they are authorized. The new initiatives on Federated Web Services Identity Management can resolve a range of both technical and political barriers to enable wide-scale participation and interoperation of separate domains into a singular, robust user experience. However, there is no widely acceptable standard for federated web services and most of the available venders frameworks concentrate only on the security issue of the federation leaving the issue of searching and discovering web services largely primitive. Federated web services security and web services searching are uniquely intertwined, mutually reliant on each other and are poised to finally solve a long-running problem in both IT and systems security. Traditional keyword search is insufficient for web services search as the very small text fragments in web services are unsuitable for keyword search and the underlying structure and semantics of the web service are not exploited. Engineering solutions that address the security and accessibility concerns of web services, however, is a challenging task. This article introduces an extension to the traditional UDDI that enables sophisticated types of searching based on a lightweight web services federated security infrastructure.


© 2006 Sabah Mohammed, Jinan Fiaidhi and Marshal Hahn. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.