Multi-aspect Character of the Man-Computer Relationship in a Diagnostic-Advisory System

  • E. Nawarecki
  • S. Kluska-Nawarecka
  • K. Regulski
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 98)


Chapter reviews the solutions used in diagnostic-advisory system, dedicated to the needs of the foundry industry.  Multimedia techniques used in the system were selected to create a comprehensive capabilities of contact between user and computer system.  The first part of the considerations apply to work in diagnostic mode, including identification of castings defects and determine the causes of their occurrence, the second part is a look at some of the features of the system implemented in a consultative mode, such as the integration of knowledge or technical and market expertise. Many illustrations was used to illustrate the various forms of contact with the user.


Knowledge Representation Defect Type Decision Table Knowledge Integration Knowledge Resource 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [Cullot et al. 2007]
    Cullot, N., Ghawi, R., Yétongnon, K.: DB2OWL: A Tool for automatic database-to-ontology mapping. In: Proc. of the 15th Italian Symp. on Advanced Database Systems, Italy, Torre Canne di Fasano (BR), pp. 491–494 (2007)Google Scholar
  2. [Dobrowolski et al. 2003]
    Dobrowolski, G., Marcjan, R., Nawarecki, E., Kluska-Nawarecka, S., Dziaduś, J.: Development of INFOCAST: Information system for foundry industry. TASK Quarterly 7(2) (2003)Google Scholar
  3. [Górny et al. 2010]
    Górny, Z., Kluska-Nawarecka, S., Wilk-Kołodziejczyk, D., Regulski, K.: Diagnosis of casting defects using uncertain and incomplete knowledge. Archives of Metallurgy and Materials (2010)Google Scholar
  4. [Kluska-Nawarecka et al. 2007]
    Kluska-Nawarecka, S., Smolarek-Grzyb, A., Wilk-Kołodziejczyk, D., Adrian, A.: Knowledge representation of casting metal defects by means of ontology, archives of foundry engineering. Polish Academy of Sciences 7(3), 15/3, 75–78 (2007)Google Scholar
  5. [Kluska-Nawarecka et al. 2009]
    Kluska-Nawarecka, S., Wilk-Kołodziejczyk, D., Dobrowolski, G., Nawarecki, E.: Structuralization of knowledge about casting defects diagnosis based on rough sets theory. Computer Methods In Materials Science 9(2) (2009)Google Scholar
  6. [Kluska-Nawarecka et al. 2010]
    Kluska-Nawarecka, S., Mrzygłód, B., Durak, J., Regulski, K.: Analysis of the applicability of domain ontology in copper alloys processing, Archieves of Foundry, Polish Academy of Sciences (2010)Google Scholar
  7. [Konstantinou et al. 2006]
    Konstantinou, N., Spanos, D.E., Chalas, M., Solidakis, E., Mitrou, N.: VisAVis: An approach to an intermediate layer between ontologies and relational database contents. Web Information Systems Modeling (2006)Google Scholar
  8. [Nawarecki et al. 2007]
    Nawarecki, E., Kluska-Nawarecka, S., Dobrowolski, G., Marcjan, R.: OntoGRator – an intelligent access to heterogenous knowledge sources about casting technology. Computer Methods in Material Science 7 (2007)Google Scholar
  9. [Pawlak 1982]
    Pawlak, Z.: Rough sets. Int. J. of Information and Computer Science 11(5), 341–356 (1982)MathSciNetzbMATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • E. Nawarecki
    • 1
  • S. Kluska-Nawarecka
    • 2
    • 3
  • K. Regulski
    • 1
  1. 1.AGH University of Science and TechnologyKrakowPoland
  2. 2.Foundry Research InstituteCracowPoland
  3. 3.The Academy of Information Technology WSInfLodzPoland

Personalised recommendations