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Manufacturing Deep Web Service Management: Exploring Semantic Web Technologies

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5 Author(s)
Zhang Wenyu ; School of Information, Zhejiang University of Finance and Economics, Hangzhou, 310018, China ; Yin Jianwei ; Cai Ming ; Wu Jian
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Since the wide adoption of database and Web service technologies in cross-enterprise manufacturing collaboration, leveraging deep Web contents through service discovery has become one of the most advanced trends in the manufacturing field. However, the effective service discovery and knowledge retrieval from manufacturing deep Web services is still a critical issue because of the underlying intricate structures of deep Web pages. This motivates us to seek a different way to manage manufacturing deep Web services by semantically annotating them to reflect their hidden, dynamic, and heterogeneous contents. In this article, a novel ontology-based approach that uses semantic Web paradigm is proposed, and its implementation in real applications is validated.

Published in:

IEEE Industrial Electronics Magazine  (Volume:6 ,  Issue: 2 )