Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
10-2006
Abstract
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
Discipline
Computer Sciences | Databases and Information Systems | E-Commerce
Research Areas
Information Systems and Management
Publication
2006 IEEE International Conference on E-Business Engineering (ICEBE): 24-26 October, Shanghai: Proceedings
First Page
286
Last Page
293
ISBN
9780769526454
Identifier
10.1109/ICEBE.2006.90
Publisher
IEEE Computer Society
City or Country
Los Alamitos, CA
Citation
LIANG, Qianhui Althea; CHUNG, Jen-Yao; MILLER, Steven M.; and OUYANG, Yang.
Service Pattern Discovery of Web Service Mining in Web Service Registry-Repository. (2006). 2006 IEEE International Conference on E-Business Engineering (ICEBE): 24-26 October, Shanghai: Proceedings. 286-293.
Available at: https://ink.library.smu.edu.sg/sis_research/606
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.ieeecomputersociety.org/10.1109/ICEBE.2006.90