Multimodal Statement Networks for Diagnostic Knowledge Modeling and Integration

Wojciech Cholewa, Marcin Amarowicz, Pawel Chrzanowski, Tomasz Rogala

Abstract

This paper addresses selected aspects of diagnostic knowledge management. Not only does it introduce the process of modeling with the use of multimodal statement networks, but it also presents methods of model development, nature of its individual layers and elaborates on the construction process of diagnostic knowledge base along with its verification. The main purpose of the presented method is to aid in design of diagnostic systems for complex objects requiring inference process that takes places under condition of uncertainty with partially contradictory knowledge being observable. Chosen elements were implemented in free REx software developed in R language.

References

  1. Cempel, C. and Natke, H. (2011). Model-Aided Diagnosis of Mechanical Systems: Fundamentals, Detection, Localization, Assessment. Springer, Berlin.
  2. Cholewa, W. (2004). Expert systems in technical diagnostics. In Korbicz, J., Koscielny, J. M., Kowalczuk, Z., and Cholewa, W., editors, Fault Diagnosis. Models, Artificial Intelligence, Applications, pages 591-632. Springer-Verlag, Berlin.
  3. Cholewa, W. (2010). Multimodal statements networks for diagnostic applications. In Sas, P., Bergen, B. (eds.) Proceedings of the International Conference on Noise and Vibration Engineering ISMA 2010, September 20-22, pp. 817-830. Katholique Universiteit Lueven, Lueven (2010).
  4. Cholewa, W., Rogala, T., Chrzanowski, P., and Amarowicz, M. (2011). Statement networks development environment Rex. In Computational collective intelligence.
  5. Technologies and applications. ICCCI 2011, Gdynia, Poland, September 21-23, 2011. Proceedings. Pt 2.
  6. Eds: P. Je¸drzejewicz, N.T. Nguyen, K. Hoang. pp. 30- 39, (LNCS vol. 6923). Springer.
  7. Cowell, R. G., Dawid, P. A., Lauritzen, S. L., and Spiegelhalter, D. J. (2003). Probabilistic Networks and Expert Systems. Springer, New York.
  8. Heath, L. and Sioson, A. (2009). Multimodal networks: Structure and operations. IEEE/ACM Trans. Computational Biology and Bioninformatics, 6(2):pp.321- 332.
  9. Jensen, F. and Nielsen, T. (2007). Bayesian networks and decision graphs. Springer, Berlin.
  10. Kohler, D. and Friedman, N. (2009). Probabilistic graphical models: principles and techniques. MIT Press, Cambridge.
  11. Korbicz, J., Koscielny, J. M., Kowalczuk, Z., and Cholewa, W. (2004). Fault Diagnosis. Models, Artificial Intelligence, Applications. Springer-Verlag, Berlin.
  12. Nguyen, N. (2005). Processing inconsistency of knowledge on semantic level. Journal of Universal Computer Science, 11(2):pp. 285-302.
  13. Skupnik, D. (2009). An application example of a multiaspect diagnostic model. In VIII International Technical Systems Degradation Seminar. TSD International Seminar, Liptovsky Mikulas, 15-18 April 2009. Ed. J. Ma¸czak. Warsaw University of Technology [et al.]. Warszawa, 2009, pp. 86-87.
  14. Tamassia, R. (2007). Handbook of Graph Drawing And Visualization. Discrete Mathematics And Its Applications. Chapman & Hall/CRC, London.
  15. Timofiejczuk, A. (2012). Methodology context based reasoning in technical diagnostics. In 5th International Congress on Technical Diagnostics. Diagnostics'2012, Kraków, Poland, 3rd - 5th September 2012. Abstracts., 2012, pp. 33-34.
Download


Paper Citation


in Harvard Style

Cholewa W., Amarowicz M., Chrzanowski P. and Rogala T. (2013). Multimodal Statement Networks for Diagnostic Knowledge Modeling and Integration . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013) ISBN 978-989-8565-81-5, pages 140-147. DOI: 10.5220/0004519501400147


in Bibtex Style

@conference{keod13,
author={Wojciech Cholewa and Marcin Amarowicz and Pawel Chrzanowski and Tomasz Rogala},
title={Multimodal Statement Networks for Diagnostic Knowledge Modeling and Integration},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)},
year={2013},
pages={140-147},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004519501400147},
isbn={978-989-8565-81-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)
TI - Multimodal Statement Networks for Diagnostic Knowledge Modeling and Integration
SN - 978-989-8565-81-5
AU - Cholewa W.
AU - Amarowicz M.
AU - Chrzanowski P.
AU - Rogala T.
PY - 2013
SP - 140
EP - 147
DO - 10.5220/0004519501400147