Semantic web service discovery based on business rule annotation

Shang Pin Ma*, Chia Hsueh Li, Chun-Ying Huang, Yong Yi Fanjiang, Jong Yih Kuo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

An important vision of Service-Oriented Computing is to dynamically discover and bind services at run-time. Nowadays, how to identify relevant services which satisfy the desired goal by considering business policies is still a challenge. Although multiple efforts have tried to address this issue, these efforts usually provide solutions based on private specifications and protocols, not based on open standards. It causes obstacles to achieve interoperability among services from different organizations. In this paper, we present an approach integrating SAWSDL and OWL to enable annotating Quality of Business Services (QoBS) for describing business rules and constraints. Besides, we provide a method to classify the QoBS annotations and to reason out the matching degree from the viewpoint of business rules satisfaction.

Original languageEnglish
Title of host publicationProceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011
Pages932-937
Number of pages6
DOIs
StatePublished - 7 Nov 2011
Event2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011 - Guilin, Guangxi, China
Duration: 10 Jul 201113 Jul 2011

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
Volume2
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Conference2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011
CountryChina
CityGuilin, Guangxi
Period10/07/1113/07/11

Keywords

  • Business Rule
  • Semantic Annotation
  • Semantic Web Services
  • Service Discovery
  • Service-Oriented Architecture

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  • Cite this

    Ma, S. P., Li, C. H., Huang, C-Y., Fanjiang, Y. Y., & Kuo, J. Y. (2011). Semantic web service discovery based on business rule annotation. In Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011 (pp. 932-937). [6016837] (Proceedings - International Conference on Machine Learning and Cybernetics; Vol. 2). https://doi.org/10.1109/ICMLC.2011.6016837