Service Pattern Discovery of Web Service Mining in Web Service Registry-Repository

• Main Authors: LIANG, Qianhui Althea, CHUNG, Jen-Yao, MILLER, Steven M., OUYANG, Yang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2006
• Subjects: Computer Sciences; Databases and Information Systems; E-Commerce
• Online Access: https://ink.library.smu.edu.sg/sis_research/606; https://ink.library.smu.edu.sg/context/sis_research/article/1605/viewcontent/ServicePatternDiscoveryWebSerMining_2006.pdf
• Institution: Singapore Management University

This paper presents and elaborates the concept of Web service usage patterns and pattern discovery through service mining. We define three different levels of service usage data: i) user request level, ii) template level and iii) instance level. At each level, we investigate patterns of service usage data and the discovery of these patterns. An algorithm for service pattern discovery at the template level is presented. We show the system architecture of a service-mining enabled service registry repository. Web service patterns, pattern discovery and pattern mining supports the discovery and composition of complex services, which in turn supports the application of Web services to increasingly complex business processes and applications