Modeling and Matching Technology of Manufacturing Resources Based on Semantic


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To solve manufacturing resources heterogeneous description and matching problems on cloud manufacturing mode,manufacturing resources modeling and matching technology based on semantic was proposed. The modeling method based on manufacturing feature for manufacturing resources by ontology semantic was presented. Manufacturing resources based on manufacturing feature were encapsulated as manufacturing capacity which can be catch with manufacturing feature of product by semantic similarity. Mapping rules were structured between feature of manufacturing capacity and manufacturing feature of products. Manufacturing capacity evaluation of enterprise was achieved. An application prototype with manufacturing resources modeling and matching based on manufacturing feature was developed.



Edited by:

Junqiao Xiong




B. Gao et al., "Modeling and Matching Technology of Manufacturing Resources Based on Semantic", Advanced Materials Research, Vol. 586, pp. 288-294, 2012

Online since:

November 2012




[1] B.H. Li, L. Zhang, S.L. Wang, et al. Cloud manufacturing: a new service-oriented networked manufacturing model [J] . Computer Integrated Manufacturing Systems, 2010, 16(1): 1- 7, 16.

[2] C.F. Yao D.H. Zhang,K. Bu, et al. Networked manufacturing resources modeling and information integration based on physical manufacturing unit[J]. Computer Integrated Manufacturing Systems, 2008, 14(4): 667-674.

[3] M. Cai L.F. Lin,G. Chen, et al. Intelligent Resource Discovery in Internet-Based Manufacturing[J]. Computer Integrated Manufacturing Systems, 2003, 9(7): 589-594.

[4] W.R. He ,W.P. He. The Networking Manufacturing Resources Modeling and Application Based on OWL and Web Service[J]. Manufacturing Technology & Machine Tool, 2004(9): 114-118.

[5] Paolucci M,Kawamura T,Payne T R,Sycara K. Semantic Matching of Web Services Capability[A]. proceedings of the First International Semantic Web Conference(ISWC02)[C]. Berlin,Germany: Springer Verlag,(2002).


[6] V. Rameshbabu, M.S. Shunmugam. Hybrid feature recognition method for setup planning from STEP AP-203[J]. Robotics and Computer-Integrated Manufacturing. 2009, 25(2): 393-408.


[7] Šormaz D N,Arumugam J,Harihara R S,et al. Integration of product design, process planning, scheduling, and FMS control using XML data representation[J]. Robotics and Computer-Integrated Manufacturing, 2010, 26(6): 583-595.