Prologue

This document describes the OWL ontology for the Steel Industry case study of the ONTORULE project.

1.1 Coils, defects, phenomena and sampling points

Coils, defects, phenomena and sampling points are at the core of this ontology. Their relationships are not straightfoward. A coil is a physical object which is a metallurgical product. A sampling point is an abstract concept which represents a given location within a coil where some physical parameters are measured. Both defects and phenomena are deviations from the product specifications, which arise at a given product. A key difference between a defect and a phenomenon is that the former is located at a certain sampling point and the latter affects the coil as a whole.

As the coil is sampled at discrete locations along one axis (X), the location of each sampling point (sp) is defined by the length from the start of the coil strip to the sampling point. The distance between a sampling point and the next one is called the length scope (ls) of the first sampling point. Defects (d), if present, are associated to a sampling point. The following diagram illustrates these relationships.

Diagram representing an unrolled coil and highlighting the occurrence of sampling points and defects along the coil

1.2 Physical variables

These are some of the physical variables that are taken into account:

1.3 Product type

Different kinds of steel are usually identified in the industry by their steel grade, which is usually codified as an alphanumeric code. In the context of this ontology, however, a coarser classification is used, which involves a hierarchy of product types. Product types are identified by shorter alphanumeric codes.

Appendix

A. References

PROD-DEF
ArcelorMittal Product Catalogue - EU edition 2008 (cf. Product Definition)
ORDER-ASS
ArcelorMittal internal report on 'Order assignment at Galvanisation Line'

B. Changes in this version

31/05/2010
Initial version of the specification

C. Acknowledgements

This work is part of the ONTORULE project (ONTOlogies meet business RULEs), a large-scale integrating project (IP) partially funded by the European Union's 7th Framework Programmen under the Information and Communication Technologies (ICT) Call 3 (ICT-231875).

The consortium of the project is composed by the following partners:

For futher information, please visit the official webpage of the project: http://ontorule-project.eu/

The authors want to explicitely acknowledge the contributions made by François Lévy (Universite Paris 13) and Antonia Schwichtenberg (ontoprise).