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Interoperable manufacturing knowledge systems
journal contributionposted on 2017-09-29, 13:59 authored by Claire Palmer, Zahid Usman, Osiris Canciglieri, Andreia Malucelli, Robert I.M. Young
For many years now, the importance of semantic technologies, that provide a formal, logic based route to sharing meaning, has been recognized as offering the potential to support interoperability across multiple related applications and hence drive manufacturing competitiveness in the digital manufacturing age. However, progress in support of manufacturing enterprise interoperability has tended to be limited to fairly narrow domains of applicability. This paper presents a progression of research and understanding, culminating in the work undertaken in the recent EU FLEXINET project, to develop a comprehensive manufacturing reference ontology that can (a) support the clarification of understanding across domains, (b) support the ability to flexibly share information across interacting software systems and (c) provide the ability to readily configure company knowledge bases to support interoperable manufacturing systems.
We wish to acknowledge the FLEXINET consortium and especially the financial support from the European Union Seventh Framework Programme FP7-2013-NMP-ICT-FOF (RTD) under grant agreement no 688627. We also wish to acknowledge the support of the EPSRC in the early research understanding presented in this paper who funded the Interoperable Manufacturing Knowledge Systems (IMKS) under project 253 of the Loughborough University Innovative Manufacturing and Construction Research Centre (IMCRC). We also wish to acknowledge the Brazilian Science without Borders programme who supported inputs through the “Intelligent Knowledge Libraries: exploiting new ICT technologies for improved Manufacturing Intelligence” project.
- Mechanical, Electrical and Manufacturing Engineering
Published inInternational Journal of Production Research
CitationPALMER, C. ... et al, 2017. Interoperable manufacturing knowledge systems. International Journal of Production Research, 56(8), pp. 2733-2752.
Publisher© Taylor & Francis
- AM (Accepted Manuscript)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesThis is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 24 Oct 2017, available online: https://doi.org/10.1080/00207543.2017.1391416.