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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44029

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
Contributors: 國立臺灣海洋大學:資訊工程學系
NTOU:Department of Computer Science and Engineering
Keywords: Service-Oriented Architecture
Semantic Web Services
Service Discovery
Business Rule
Semantic Annotation
Date: 2011-07
Issue Date: 2017-11-09T07:49:42Z
Publisher: In Proceedings of the International Conference of Machine Learning and Cybernetics 2011 (ICMLC 2011)
Abstract: 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.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44029
Appears in Collections:[資訊工程學系] 演講及研討會

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