Title :
Semantic web service discovery based on business rule annotation
Author :
Ma, Shang-Pin ; Li, Chia-hsueh ; Huang, Chun-Ying ; FanJiang, Yong-Yi ; Kuo, Jong-Yih
Author_Institution :
Dept. of Comput. Sci. & Eng., Nat. Taiwan Ocean Univ., Taipei, Taiwan
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.
Keywords :
Web services; business data processing; knowledge representation languages; open systems; semantic Web; service-oriented architecture; OWL; QoBS; SAWSDL; Web ontology language; XML schema; business constraints; business policies; business rule annotation; business rules satisfaction; interoperability; private specifications; quality of business services; semantic Web service discovery; semantic annotations for WSDL; service-oriented computing; Business; Machine learning; OWL; Ontologies; Semantics; Web services; Business Rule; Semantic Annotation; Semantic Web Services; Service Discovery; Service-Oriented Architecture;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0305-8
DOI :
10.1109/ICMLC.2011.6016837