Imran and Young Manuscript Accepted.pdf (3.48 MB)

Reference ontologies for interoperability across multiple assembly systems

Download (3.48 MB)
journal contribution
posted on 01.10.2015 by Muhammad Imran, Robert I.M. Young
The role of information and communication technologies (ICTs) is crucial for future manufacturing organisations in order to support effective collaboration and information sharing. However, the contemporary ICT-based systems lack the required ability to adequately support interoperability across multiple domain systems. The capability of such ICT-based systems to interoperate is impeded by the semantic conflicts arising from loosely defined meanings and intents of the participating system concepts. The aim of this paper is to investigate the interoperability of assembly systems at multiple levels of concept specialisations using the concept of a formal reference ontology. Formal ontologies are providing a promising way to computationally capture the domain meanings which can subsequently provide a base to support interoperability across multiple systems and in our case multiple assembly systems. This paper takes the example of manufacturing bill of materials concept and three different domain-specific interpretations to explore and demonstrate the potential of formal reference ontologies to support interoperability.


This work was supported by Loughborough University [grant number 10.13039/501100000857].



  • Mechanical, Electrical and Manufacturing Engineering

Published in

International Journal of Production Research


IMRAN, M. and YOUNG, R.I.M., 2015. Reference ontologies for interoperability across multiple assembly systems. International Journal of Production Research, 54 (18), pp. 5381-5403.


© Taylor & Francis


AM (Accepted Manuscript)

Publisher statement

This 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:

Publication date



This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 28 Sep 2015, available online: