Relational database as a basis for formalization of technological knowledge ontology

• Autorzy: Macioł, A. , Stawowy, A. , Wrona, R.
• Języki publikacji: EN

Abstrakty

EN

In the paper, we present the main assumptions of ontology formulation and knowledge modeling in the form of relational database. This approach simplifies the development of knowledge mining tools which may use SQL together with attributive logic. The paper presents a concept and principles of ontology formulation for the needs of collecting the technological knowledge. The relational model of database is used as a tool for ontology developing. An example was given of how to model the ontology along with the example of the rules used in search for information. The results of our preliminary works confirm the correctness of our assumptions and enable drawing the conclusion, that well-known and reliable relational databases may be used as an efficient tool for ontology development.

Słowa kluczowe

PL

technologia informacyjna; przemysł odlewniczy; ontologia

EN

information technology; foundry industry; ontology

• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2009
• Tom: Vol. 9, iss. 3
• Strony: 79-82
• Opis fizyczny: Bibliogr. 6 poz., rys., tab.

Twórcy

autor

Macioł, A.

autor

Stawowy, A.

autor

Wrona, R.

• Faculty of Management, AGH University of Science and Technology, Gramatyka 10, 30-067 Krakow, Poland,

Bibliografia

• [1] J. Lee and R. Goodwin, Ontology management for large-scale enterprise systems, Electron. Commer. R. A. Vol. 5 (2006) 2-15.
• [2] J. Davies (ed.), Semantic Web Technologies: Trends and Research in Ontology-based Systems, John Wiley&Sons, New York 2006.
• [3] A. Kusiak (ed.), Concurrent Engineering. Automation, Tools, and Techniques, John Wiley&Sons, New York 1993.
• [4] http://www-sop.inria.fr/edelweiss/wiki/wakka.php? wiki=Projects
• [5] A. Macioł, A. Stawowy, R. Wrona, Shell expert system for technological knowledge acquisition and access, Archives of Foundry Engineering, vol. 8 No. 3 (2008) 75-80.
• [6] A. Macioł, An application of a rule-based tool in attributive logic for business, Expert Systems with Applications, vol. 34 (2008) 1825-1836.