Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/20749

Title: A novel ontological approach to modelling engineering processes: A coupled tank system case study
Authors: Owa, Kayode
Ramzan, Asia
Jackson, Lisa M.
Jackson, Thomas
Sykora, Martin D.
Mousavi, Seyed
Keywords: Coupled tank system (CTS)
Semantic web rule language (SWRL)
Web ontology language (OWL)
Semantic web technology
Issue Date: 2015
Publisher: University of Bath
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.
Abstract: 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.
Description: This is a conference paper.
Sponsor: This work is supported financially by the Engineering and Physical Sciences Research Council (EPSRC) under the project titled “Adaptive Informatics for Intelligent Manufacturing (AI2M)”.
Version: Published
URI: https://dspace.lboro.ac.uk/2134/20749
Publisher Link: http://www.icmr.org.uk/
Appears in Collections:Conference Papers (Business School)
Conference Papers and Contributions (Aeronautical and Automotive Engineering)

Files associated with this item:

File Description SizeFormat
ICMR2015_Paper__ final.pdfPublished version256.02 kBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.