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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/18899
Title: Semantic Web Service Discovery Based on Business Rule Annotation
Authors: Shang-Pin Ma 
Chia-Hsueh Li
Chun-Ying Huang
Yong-Yi Fanjiang
Jong-Yih Kuo
Issue Date: Jul-2011
Publisher: IEEE
Source: 2011 International Conference on Machine Learning and Cybernetics
Conference: 2011 International Conference on Machine Learning and Cybernetics
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.
Description: 
Guilin, China
URI: http://scholars.ntou.edu.tw/handle/123456789/18899
DOI: 10.1109/ICMLC.2011.6016837
Appears in Collections:資訊工程學系

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