Agric. Econ. - Czech, 2006, 52(11):516-521 | DOI: 10.17221/5059-AGRICECON

On the representation of expert procedural knowledge

A. Veselý
Czech University of Agriculture, Prague, Czech Republic

Procedural knowledge is used by experts for complex system control. In this article, the notion of a complex system is taken in a broad sense. It might be a patient cured by a physician specialist, a biotechnological device, a department of some business enterprise etc. The GLIF model was designed in collaboration of American universities for the formalization of medical guidelines, but it can be used for formal representation of any procedural knowledge. The main objective of the GLIF model was to enable computer processing and comparing of medical guidelines. In this, article also a more sophisticated use of procedural knowledge representation by the means of the GLIF model is proposed. The provided data about expert actions are stored into the database, the formalized knowledge represented by the GLIF model can be used for building up sophisticated reminder systems that warn the user if he decides to make an impropriate action. Different kinds of warnings in the reminder system are proposed and their properties are discussed. At the end, also the possibility of using the GLIF model for decision support is discussed.

Keywords: representation of knowledge, reminder system, GLIF model, GLIF browser

Published: November 30, 2006  Show citation

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Veselý A. On the representation of expert procedural knowledge. Agric. Econ. - Czech. 2006;52(11):516-521. doi: 10.17221/5059-AGRICECON.
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References

  1. Buchtela D., Veselý A., Peleška J., Zvárová J. (2004): Presentation of Medical Guidelines on a Computer. Transformation of Healthcare with Information Technologies. IOS Press Amsterdam, pp. 166-171; ISBN 1-58603-438-3.
  2. Mancia G. (ed.) (2003): 2003 European Society of Hypertension-European Society of Cardiology guidelines for the management of arterial hypertension. Journal of Hypertension, 21: 1011-1053. Go to original source... Go to PubMed...
  3. Ohno-Machado L., Gennari J. H., Murphy S.,N., Jain N.,L., Tu S., W., Oliver D., et al. (1998): The Guideline Interchange Format: A model for representing guidelines. Journal of the American Medical Informatics Association, 5 (4): 357-372. Go to original source... Go to PubMed...
  4. Sowa J.F. (1999): Knowledge representation: Logical, Philosophical and computational foundations. Portland.
  5. Veselý A., Zvárová J., Peleška J., Tomečková M. (2003): On Direct Comparing of Medical Guidelines with Electronic Health Record. In: Proceedings of MIE2003, IOS San Malo.
  6. Veselý A., Zvárová J., Peleška J., Anger Z., Buchtela D. (2004): Computerized Presentation of Medical Guidelines. In: Proceedings Medinfo 2004 AMIA, San Francisco.
  7. Zvárová J., Veselý A., Hanzlíček P., Špidlen J., Buchtela D. (2004): On Direct Comparing of Medical Guidelines with Electronic Health Record. In: Bubak M. et al. (Eds.): Computational Science, Part IV. Springer-Verlag, Berlin, pp. 1133-1139. Go to original source...

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