Title: A protégé semantic modelling approach for combination correlation of manufacturing service

Authors: Feng Xiang; Jiangchun Liu; Guozhang Jiang; Xiaowu Chen

Addresses: School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan 430081, China ' School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan 430081, China ' School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan 430081, China ' School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan 430081, China

Abstract: Cloud manufacturing service model aimed at gathering global resources, optimise the allocation, provide new impetus for the core of manufacturing industry informatisation and the reform, and the service combination technology is a key technology to optimal allocate various resources in manufacturing cloud. However, because the multiple user demands the high system scalability and task complexity, the potential constraint relationship between the various combinations must be taken into account. Focus on the combinable relations researches on combinable relation classification by workflow and strength degree, such as sequential relationships branch/selection relationships, concurrent relationships, multiple selection, synchronous convergence, discriminator, arbitrary cycle, and delay selection. Finally, we use OWL language to build a model of relations ontology for magnetic bearing.

Keywords: cloud manufacturing; combination correlation; ontology.

DOI: 10.1504/IJSCOM.2017.087945

International Journal of Service and Computing Oriented Manufacturing, 2017 Vol.3 No.1, pp.13 - 23

Received: 07 Dec 2016
Accepted: 06 Mar 2017
Published online: 13 Nov 2017 *