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An interoperable knowledge base for manufacturing resource and service capability

An interoperable knowledge base for manufacturing resource and service capability 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. [Received April 28 2016; Revised August 1 2016; Accepted August 22 2016] Keywords: knowledge base; manufacturing resource capability; manufacturing service; cloud manufacturing; ontology web language; OWL; semantic web rule language; SWRL. Copyright © 2017 Inderscience Enterprises Ltd. An interoperable knowledge base for manufacturing resource Reference to this paper should be made as follows: http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Manufacturing Research Inderscience Publishers

An interoperable knowledge base for manufacturing resource and service capability

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Publisher
Inderscience Publishers
Copyright
Copyright © 2017 Inderscience Enterprises Ltd.
ISSN
1750-0591
eISSN
1750-0605
DOI
10.1504/IJMR.2017.083650
Publisher site
See Article on Publisher Site

Abstract

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. [Received April 28 2016; Revised August 1 2016; Accepted August 22 2016] Keywords: knowledge base; manufacturing resource capability; manufacturing service; cloud manufacturing; ontology web language; OWL; semantic web rule language; SWRL. Copyright © 2017 Inderscience Enterprises Ltd. An interoperable knowledge base for manufacturing resource Reference to this paper should be made as follows:

Journal

International Journal of Manufacturing Research – Inderscience Publishers

Published: Jan 1, 2017

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