Models to Customise Web Service Discovery Result using Static and Dynamic Parameters

نویسندگان

  • Kee-Leong Tan
  • Cheng-Suan Lee
چکیده

This paper presents three models which enable the customisation 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 customise or rank the query results, based on its business requirements. Second, our proposal utilises 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. Keywords—Web service, discovery, semantic, SOA, registry, UDDI.

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تاریخ انتشار 2006