An interoperable knowledge base for manufacturing resource and service capability

被引：0

作者：

Zhao Y. ^{[1
]}

Liu Q. ^{[1
]}

Xu W. ^{[1
]}

Xu X.W. ^{[2
]}

Yu S. ^{[2
]}

Zhou Z. ^{[3
]}

机构：

[1] School of Information Engineering, Wuhan University of Technology, Wuhan

[2] Department of Mechanical Engineering, University of Auckland, Auckland

[3] School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan

来源：

Zhao, Yuanyuan (yuanzhao@whut.edu.cn) | 2017年 / Inderscience Publishers, 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Cloud manufacturing; Knowledge base; Manufacturing resource capability; Manufacturing service; Ontology web language; OWL; Semantic web rule language; SWRL;

D O I：

10.1504/IJMR.2017.083650

中图分类号：

学科分类号：

摘要：

To realise collaborative utilisation of resource in cloud manufacturing, in this paper, an interoperable knowledge base of manufacturing resource and service capability (IKB-MRSC) is developed for service discovery and selection. First, a network-based structural knowledge model is constructed including items set, links set and rule set. The functional entities in STEP/STEP-NC are integrated with status information and expert experience to form the items set. Links set and rule set are defined. Based on this, an upper-level manufacturing service model is built including capability profile, process model and resource model. Then, OWL and SWRL are combined to offer the semantic and logic representation for knowledge model. OntoSTEP is adopted to transfer EXPRESS-based schema into ontology pattern. Rules are defined for reasoning service capability with its related resource capability. Underlying this, a triple-level service matchmaking strategy is proposed. Finally, implementation verifies the validity of the knowledge base. Copyright © 2017 Inderscience Enterprises Ltd.

引用

页码：20 / 43

页数：23

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