Many modelling techniques such as Artificial Neural Network (ANN) and SIMULINK have been employed in engineering processes such as control systems. However, these techniques lack some beneficial features such as the auto-classification and self-awareness of knowledge, the dynamic knowledge discovery, validating the consistency of knowledge and the possibilities of embedding Semantic Web Rule Language (SWRL) rules into various modelling tasks.
This paper presents an original and innovative ontology design that models the coupled tanks system (CTS) with additional capabilities of providing aforementioned advantages.
This new approach for modelling engineering phenomena employs the Web Ontology Language (OWL) and also processes the capabilities of incorporating Description Logics (DL) and Semantic Web technologies into the ontology-based design. The results obtained in this paper show the successful demonstration and implementation of our new knowledge modelling approach.
Funding
This work is supported financially by
the Engineering and Physical Sciences Research Council (EPSRC) under the project titled “Adaptive Informatics for Intelligent Manufacturing (AI2M)”.
History
School
Business and Economics
Department
Business
Published in
13th International conference on manufacturing research (ICMR2015)
Citation
OWA, K. ...et al., 2015. A novel ontological approach to modelling engineering processes: A coupled tank system case study. IN: Newnes, L., Nassehi, A. and Dhokia, V. (eds). Advances in Manufacturing Technology XXIX: Proceedings of the 13th International Conference on Manufacturing Research (ICMR 2015), University of Bath, 8th-10th September 2015.
Publisher
University of Bath
Version
VoR (Version of Record)
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: https://creativecommons.org/licenses/by-nc-nd/4.0/