Title: A modelling and semantic description method of cloud 3D printing order task ontology based on multidimensional features

Authors: Chenglei Zhang; Jiajia Liu; Bo Xu; Zhenqian Wang; Feiyu Zhao; Shenle Zhuang

Addresses: School of Mechanical and Vehicle Engineering, Linyi University, Linyi, 276000, China; Shandong Longli Electronic Co., Ltd, Linyi, 276000, China ' School of Mechanical and Vehicle Engineering, Linyi University, Linyi, 276000, China ' School of Mechanical and Vehicle Engineering, Linyi University, Linyi, 276000, China ' School of Mechanical and Vehicle Engineering, Linyi University, Linyi, 276000, China ' School of Computer Science, South-Central Minzu University, Wuhan, 430070, China ' Shandong Longli Electronic Co., Ltd, Linyi, 276000, China

Abstract: Aiming at the demands of unified modelling and standardisation description of cloud 3D printing order tasks which are heterogeneous, multidimensional, semantic and other characteristics in cloud manufacturing environment, based on web service and semantic web services, a semantic description and encapsulation method of 3D printing order tasks is studied. It includes proposing a modelling and semantic description method of cloud 3D printing order task ontology based on multidimensional features. Through the features of cloud 3D printing order resources, the attributes of cloud 3D printing order tasks are decomposed into atomic tasks according to the purpose of order tasks. The cloud 3D printing order task metadata ontology modelling method and service packaging technology are studied, and then the feasibility of the method is verified by an example of cloud 3D printing order task semantic description model. [Submitted 19 June 2019; Accepted 13 June 2020]

Keywords: multidimensional; order task; web services; cloud 3D printing; semantic description; metadata.

DOI: 10.1504/IJMR.2022.124994

International Journal of Manufacturing Research, 2022 Vol.17 No.2, pp.127 - 152

Received: 19 Jun 2019
Accepted: 13 Jun 2020
Published online: 22 Aug 2022 *

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