The Use of Formal Knowledge Representation in Operating on Resources Concerning Cast Iron Processing

• Autorzy: Kluska-Nawarecka S. , Wilk-Kołodziejczyk D. , Rojek G. , Regulski K. , Polek G.

Identyfikatory

DOI

10.1515/afe-2015-0034

• Języki publikacji: EN

Abstrakty

EN

The problem of materials selection in terms of their mechanical properties during the design of new products is a key issue of design. The complexity of this process is mainly due to a multitude of variants in the previously produced materials and the possibility of their further processing improving the properties. In everyday practice, the problem is solved basing on expert or designer knowledge. The paper is the proposition of a solution using computer-aided analysis of material experimental data, which may be acquired from external data sources. In both cases, taking into account the rapid growth of data, additional tools become increasingly important, mainly those which offer support for adding, viewing, and simple comparison of different experiments. In this paper, the use of formal knowledge representation in the form of an ontology is proposed as a bridge between physical repositories of data in the form of files and user queries, which are usually formulated in natural language. The number and the sophisticated internal structure of attributes or parameters that could be the criteria of the search for the user are an important issue in the traditional data search tools. Ontology, as a formal representation of knowledge, enables taking into account the known relationships between concepts in the field of cast iron, materials used and processing techniques. This allows the user to receive support by searching the results of experiments that relate to a specific material or processing treatment. Automatic presentation of the results which relate to similar materials or similar processing treatments is also possible, which should make the conducted analysis of the selection of materials or processing treatments more comprehensive by including a wider range of possible solutions.

Słowa kluczowe

EN

information technology; foundry industry; automation in foundry; robotics in foundry; semantic analysis; semantic search

PL

technologia informatyczna; przemysł odlewniczy; automatyzacja odlewnictwa; robotyka w odlewnictwie; analiza semantyczna; wyszukiwarka semantyczna

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2015
• Tom: Vol. 15, iss. 2
• Strony: 39--42
• Opis fizyczny: Bibliogr. 12 poz., rys.

Twórcy

autor

Kluska-Nawarecka S.

• Foundry Research Institute, Zakopianska 73, Cracow, Poland

autor

Wilk-Kołodziejczyk D.

• AGH University of Science and Technology, Mickiewicza 30, Cracow, Poland; Foundry Research Institute, Zakopianska 73, Cracow, Poland

autor

Rojek G.

• AGH University of Science and Technology, Mickiewicza 30, Cracow, Poland

autor

Regulski K.

• AGH University of Science and Technology, Mickiewicza 30, Cracow, Poland

autor

Polek G.

• AGH University of Science and Technology, Mickiewicza 30, Cracow, Poland

Bibliografia

• [1] Regulski, K., Rojek, G. & Kusiak, J., 2014, Process of Ontology Construction of Rolling Metal Sheets Industrial Process. Key Engineering Materials. 622-623, 978-985.
• [2] Goczyła, K. (2011). Ontologie w systemach informatycznych, Oficyna Wydawnicza EXIT, Warszawa. (in Polish).
• [3] Staab, S., Studer, R. (2004). Handbook on Ontologies, Berlin: Springer-Verlag.
• [4] Noy, N., McGuinness, D. (2001). Ontology Development 101: A Guide to Creating Your First Ontology. Technical report, Stanford Knowledge Systems Laboratory.
• [5] Cristiani, M. & Cuel, R. (2005). A Survay on Ontology Creation Methodologies. International Journal on Semantic Web & Information Systems. 1(2), 49-69.
• [6] Kluska-Nawarecka, S., Mrzygłód, B., Durak, J. & Regulski, K. (2010), Analysis of the applicability of domain ontology in copper alloys processing. Archives of Foundry Engineering. 10(2). 69-74.
• [7] Wilk-Kolodziejczyk, D., Rojek, G., Regulski, K. & Kluska-Nawarecka, S. (2014). The Implementation of Computer Platform for Foundries Cooperating in a Supply Chain. Archives of Foundry Engineering. 14(3), 111-116.
• [8] Wilk-Kolodziejczyk, D., Regulski, K., & Rojek, G. (2014). The Decision Support System in the Domain of Casting Defects Diagnosis. Archives of Metallurgy and Materials. Archives of Foundry Engineering. 14(3).
• [9] Regulski, K., Kluska-Nawarecka, S. (2012). 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.
• [10] Kluska-Nawarecka, S., Durak, J. & Regulski, K. (2012). Aspects of knowledge integration using ontological model in issues of decision support in the process of die forging, Computer Methods in Materials Science. 12(2), 63-69.
• [11] Wilk-Kołodziejczyk, D., Regulski, K., Dziaduś-Rudnicka, J. & Kluska-Nawarecka, S. (2012). Overview of activities on the Internet devoted to casting technology. Archives of Foundry Engineering. 12(2), 245-250.
• [12] Mrzygłód, B. & Regulski, K. (2011). Model of knowledge representation about materials in the form of a relational database for CAPCAST system. Archives of Foundry Engineering. 11(3), 81-86.