Computer Catalog and Semantic Search of Data in the Domain of Cast Iron Processing

Open access


The aim of this study is to design and implement a computer system, which will allow the semantic cataloging and data retrieval in the field of cast iron processing. The intention is to let the system architecture allow for consideration of data on various processing techniques based on the information available or searched by a potential user. This is achieved by separating the system code from the knowledge of the processing operations or from the chemical composition of the material being processed. This is made possible by the creation and subsequent use of formal knowledge representation in the form of ontology. So, any use of the system is associated with the use of ontologies, either as an aid for the cataloging of new data, or as an indication of restrictions imposed on the data which draw user attention. The use of formal knowledge representation also allows consideration of semantic meaning, a consequence of which may be, for example, returning all elements in subclasses of the searched process class or material grade.

[1] Daber, S., Ravishankar, K., S., Rao, P., P. (2008). Influence of Austenitising Temperature on the Formation of Strain Induced Martensite in Austempered Ductile Iron. Journal of Material Science. 43, 4929-4937.

[2] Putatunda, S.K. (2001). Development of Austempered Ductile Cast Iron (ADI) with Simultaneous High Yield Strength and Fracture Toughness by a Novel Two-step Austempering Process. Materials Science and Engineering A. 315, 70-80.

[3] Bayati, H. & Elliot, R. (1999). The Concept of an Austempered Heat Treatment Processing Window. International Journal Cast Metals Research. 11, 413-417.

[4] Tybulczuk, J. & Kowalski, A. (2003). ADI. The properties and application in industry. Castings Atlas, Instytut Odlewnictwa, Kraków (in Polish).

[5] Gumienny, G. (2013). Carbidic Bainitic and Ausferritic Ductile Cast Iron. Archives of Metallurgy and Materials. 58, 1053-1058.

[6] Olejarczyk-Wozenska, I., Adrian, H. & Mrzyglod, B. (2014). Mathematical model of the process of pearlite austenitization, Archives of Metallurgy and Materials. 59(3), 981-986.

[7] Pietrowski, S. (1998). Alloyed Cast Iron with Compacted Graphite. Solidification of Metals and Alloys. 37, 105-111. (in Polish).

[8] Cueva, G., Sinatora, A., Guesser, W.L. & Tschiptschin, A.P. (2003). Wear resistance of cast irons used in brake disc rotors. Wear. 255, 1256-1260.

[9] David, J., Švec, P., Garzinová, R., Kluska-Nawarecka, S., Wilk-Kołodziejczyk, D. & Regulski, K. (2016). Heuristic modeling of casting processes under the conditions uncertainty. Archives of Civil and Mechanical Engineering. 16(2), 179-185.

[10] Kluska-Nawarecka, S., Regulski, K., Krzyżak, M., Leśniak, G. & Gurda, M. (2013). System of semantic integration of non-structuralized documents in natural language in the domain of metallurgy. Archives of Metallurgy and Materials. 58(3), 927-930. DOI: 10.2478/amm-2013-0103

[11] Kluska-Nawarecka, S., Śnieżyński, B. Parada, W., Lustofin, M. & Wilk-Kołodziejczyk, D. (2014). The use of LPR (logic of plausible reasoning) to obtain information on innovative casting technologies. Archives of Civil and Mechanical Engineering. 14(1), 25-31.

[12] Ozkarahan, E. (1991). System architecture for information processing. Information Processing & Management. 27(4), 347-369. DOI: 10.1016/0306-4573(91)90089-5.

[13] Regulski, K., Wilk-Kołodziejczyk, D., Rojek, G., Kluska-Nawarecka, S. & Adrian, W.T. (2016). Application of ALSV(FD) logic and XTT knowledge representation in the range of ADI properties. Archives of Foundry Engineering. 16(2), 75- 78.

[14] Frakes, W. B., Baeza-Yates, R. (1992). Information Retrieval Data Structures and Algorithms. Englewood Cliffs, NJ: Prentice-Hall, Inc.

[15] Grossman, D. A., Frieder, O. (1998). Information Retrieval: Algorithms and Heuristics. Norwell, MA, USA: Kluwer Academic Publishers.

[16] Lesk, M. (1997). Practical Digital Libraries: Books, Bytes, and Bucks. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.

[17] Booch, G., Maksimchuk, R., Engle, M., Young, B., Conallen, J., Houston, K. (2007). Object-Oriented Analysis and Design with Applications. (3rd ed.). Redwood City, CA, USA: Addison-Wesley Professional.

[18] Uzdanaviciute, V. & Butleris, R. (2011). Ontology-based Foundations for Data Integration, BUSTECH The First International Conference on Business Intelligence and Technology. 34-39.

[19] Baader, F., Calvanese, D., McGuinness, D.L., Nardi, D. & Patel-Schneider, P.F. (2003). The description logic handbook: theory, implementation, and applications.

[20] Cristani, M. & Cuel, R. (2005). A Survey on Ontology Creation Methodologies, International Journal of Semantic Web Information Systems 1. 49-69.

[21] Natalya, D.L.M. & Noy, F. (2005). Ontology Development 101: A Guide to Creating Your First Ontology.

[22] Mrzygłód, B., Kowalski, A., Olejarczyk-Wożeńska, I., Adrian, H., Głowacki, M. & Opaliński, A. (2015). Effect of heat treatment parameters on the formation of ADI microstructure with additions of Ni, Cu, Mo. Archives of Metallurgy and Materials. 60(3A), 1941-1948.

[23] Hartmann, D., (2006). Process management and virtual engineering In foundries, Foundry - Science and Practice, 50, COCAFTEC, Foundry Research Institute, Cracow.

[24] Angele, J. & Gesmann, M. (2006). Data integration using semantic technology: a use case, Rules and Rule Markup Languages for the Semantic Web. 58-66, DOI: 10.1109/RULEML.2006.9

[25] Smyksy, K., Ziółkowski, E., Wrona, R. & Brzeziński, M. (2013). Performance evaluation of rotary mixers through monitoring of power energy parameters. Archives of Metallurgy and Materials. 58(3), 911-914.

[26] Glowacz, A. (2015). Recognition of Acoustic Signals of Loaded Synchronous Motor Using FFT, MSAF-5 and LSVM. Archives of Acoustics. 40(2). 197-203. DOI: 10.1515/aoa-2015-0022.

[27] Richardson, C. (2006). Untangling Enterprise Java. Queue - Component Technologies. 4(5), 36-44. DOI: 10.1145/1142031.1142045

[28] Berardi, D., Calvanese, D., De Giacomo, G. (2005). Reasoning on UML class diagrams. Artificial Intelligence. 168(1), 70-118. DOI: 10.1016/j.artint.2005.05.003.

[29] Fowler, M., Scott, K. (1997). UML distilled: applying the standard object modeling language. Essex, UK: Addison- Wesley Longman Ltd.

[30] Mullet, K., Sano, D. (1995). Designing Visual Interfaces: Communication Oriented Techniques. Upper Saddle River, NJ, USA: Prentice-Hall, Inc.

[31] Galitz, W. O. (1997). The Essential Guide to User Interface Design: An Introduction to GUI Design Principles and Techniques. New York, USA: John Wiley & Sons, Inc.

[32] Rojek, G., Cieciwa, R., Cetnarowicz, K. (2006) Heterogeneous behavior evaluations in ethically-social approach to security in multi-agent system In 6th International Conference on Computational Science (ICCS 2006), 28-31 May 2006 (823-830) Lecture Notes In Computer Science.

Archives of Foundry Engineering

The Journal of Polish Academy of Sciences

Journal Information

CiteScore 2016: 0.42

SCImago Journal Rank (SJR) 2016: 0.192
Source Normalized Impact per Paper (SNIP) 2016: 0.316

Cited By


All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 111 91 7
PDF Downloads 45 42 3