Research on the Models to Customize Private UDDI Registry Query Results

Abstract

This paper presents three models which enable the customization of Universal Description, Discovery and Integration (UDDI) query results, based on some pre-defined and/or real-time changing parameters. These proposed models detail the requirements, design and techniques which make ranking of Web service discovery results from a service registry possible. Our contribution is two fold: first, we present an extension to the UDDI inquiry capabilities. This enables a private UDDI registry owner to customize or rank the query results, based on its business requirements. Second, our proposal utilizes existing technologies and standards which require minimal changes to existing UDDI interfaces or its data structures. We believe these models will serve as valuable reference for enhancing the service discovery methods within a private UDDI registry environment.