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Towards the ontology-based consolidation of production-centric standards

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journal contribution
posted on 2013-01-17, 13:52 authored by Nitishal Chungoora, Anne-Francoise Cutting-Decelle, Robert I.M. Young, A. George Gunendran, Zahid Usman, Jennifer HardingJennifer Harding, Keith Case
Production-­centric international standards are intended to serve as an important route towards information sharing across manufacturing decision support systems. As a consequence of textual-­based definitions of concepts acknowledged within these standards, their inability to fully interoperate becomes an issue especially since a multitude of standards are required to cover the needs of extensive domains such as manufacturing industries. To help reinforce the current understanding to support the consolidation of production-­centric standards for improved information sharing, this article explores the specification of well-defined core concepts which can be used as a basis for capturing tailored semantic definitions. The potentials of two heavyweight ontological approaches, notably Common Logic (CL) and the Web Ontology Language (OWL) as candidates for the task, are also exposed. An important finding regarding these two methods is that while an OWL-­based approach shows capabilities towards applications which may require flexible hierarchies of concepts, a CL-­based method represents a favoured contender for scoped and facts-­driven manufacturing applications.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

CHUNGOORA, N. ... et al, 2013. Towards the ontology-based consolidation of production-centric standards. International Journal of Production Research, 51 (2), pp.327-345.

Publisher

© Taylor & Francis

Version

  • AM (Accepted Manuscript)

Publication date

2013

Notes

This is an Author's Accepted Manuscript of an article published in the International Journal of Production Research [© Taylor & Francis], available online at: http://www.tandfonline.com/doi/abs/10.1080/00207543.2011.627885.

ISSN

0020-7543

Language

  • en