Process of Ontology Construction of Rolling Metal Sheets Industrial Process

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The article presents assumptions and the process of construction of an ontology for the knowledge base that concerns industrial processes of metal sheets rolling including heat treatment operations. Creating of an ontology enables to build a knowledge base, which can be understood by both computers and engineers. Such a knowledge base can be used afterwards by intelligent computer techniques helping in solving of encountered problems during production process. The built ontology should be relevant to the nature of the rolling process – it has to take into account sequence of roll passes of the whole rolling process including all control parameters for each pass (e.g. the thickness before and after the pass, time of pass, temperature). Presented process of the construction of the ontology follows an ontology development cycle that should ensure relevance for industrial use of the ontology. The built ontology in the domain of industrial rolling should enable building knowledge base that concerns considered industrial process. One of possibilities is using of the elaborated ontology at construction of an advisory system that supports design of rolling process for a new product, which can be similar to some products made in the past. Other possibilities of utilization of the ontology can be seen in production scheduling or estimation of production costs.

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Key Engineering Materials (Volumes 622-623)

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978-985

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September 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] G. Rojek, J. Kusiak, Case-based reasoning approach to control of industrial processes, Computer Methods in Materials Science, vol. 12 no. 4, p.250–258, (2012).

Google Scholar

[2] G. Rojek, J. Kusiak, Industrial control system based on data processing, Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, vol. 7268, pp.502-510, (2012).

DOI: 10.1007/978-3-642-29350-4_60

Google Scholar

[3] E. Nawarecki, S. Kluska-Nawarecka, K. Regulski, Multi-aspect character of the man-computer relationship in a diagnostic-advisory system, Human – computer systems interaction: backgrounds and applications, Part I, eds. Zdzisław S. Hippe, Juliusz L. Kulikowski, Teresa Mroczek, Berlin, Heidelberg, Springer-Verlag, pp.85-102, (2012).

DOI: 10.1007/978-3-642-23187-2_6

Google Scholar

[4] K. Regulski, S. Kluska-Nawarecka, Knowledge integration computer tools and algorithms in the improvement of the production processes of cast-steel castings, Artificial Intelligence in the Knowledge and Information Systems, Instytut Odlewnictwa, Kraków, (2012).

Google Scholar

[5] S. Kluska-Nawarecka, K. Regulski, M. Krzyżak, G. Leśniak, M. Gurda, System of semantic integration of non-structuralized documents in natural language in the domain of metallurgy, Archives of Metallurgy and Materials, Polish Academy of Sciences. Committee of Metallurgy. Institute of Metallurgy and Materials Science, vol. 58 iss. 3, p.927–930, (2013).

DOI: 10.2478/amm-2013-0103

Google Scholar

[6] F. Baader, The description logic handbook: theory, implementation, and applications, Cambridge University Pres, (2003).

Google Scholar

[7] S. Staab, R. Studer, Handbook on Ontologies, Springer-Verlag, (2004).

Google Scholar

[8] N. Noy, D. McGuinness, Ontology Development 101: A Guide to Creating Your First Ontology. Technical report, Stanford Knowledge Systems Laboratory, (2001).

Google Scholar

[8] S. Ciszewski, S. Kluska-Nawarecka, Document driven ontological engineering with applications in casting defects diagnostic, Computer Methods in Materials Science, vol. 04, no. 1-2, p.56–64, (2004).

Google Scholar

[9] M. Cristiani, R. Cuel, A Survay on Ontology Creation Methodologies, International Journal on Semantic Web & Information Systems, vol. 1, no. 2, pp.49-69, (2005).

DOI: 10.4018/jswis.2005040103

Google Scholar