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Analyzing Domain Expertise by Considering Variants of Knowledge in Multiple Time Scales

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3683))

Abstract

Knowledge acquisition is known to be a critical bottleneck in building expert systems. In past decades, various methods and systems have been proposed to efficiently elicit expertise from domain experts. However, in building a medical expert system, disease symptoms are usually treated as time-irrelevant attributes, such that much important information is abandoned and hence the performance of the constructed expert systems is significantly affected. To cope with this problem, in this paper, we propose a time scale-oriented approach to eliciting medical knowledge from domain experts. The novel approach takes the time scale into consideration, such that the variant of disease symptoms in different time scales can be precisely expressed. An application to the development of a medical expert system has depicted the superiority of our approach.

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References

  1. Boose, J.H.: A knowledge acquisition program for expert systems based on personal construct psychology. International Journal of Man Machine Studies 23 (1985)

    Google Scholar 

  2. Boose, J.H., Bradshaw, J.M.: NeoETS: Capturing expert system knowledge in hierarchical rating grids. In: IEEE Expert System in Government Symposium (1986)

    Google Scholar 

  3. Boose, J.H., Bradshaw, J.M.: Expertise transfer and complex problems: using AQUINAS as a knowledge-acquisition workbench for knowledge-based systems. International Journal of Man Machine Studies 26, 3–27 (1987)

    Article  Google Scholar 

  4. Buchanan, B., Shortliffe, E. (eds.): Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Paper. Addison-Wesley, Reading (1985)

    Google Scholar 

  5. Cairó, O.: The KAMET methodology: A modeling approach for knowledge acquisition. In: EXPER SYS 1997, Subject Editor: Smith, P. Technology Transfer Series, Series Editor: Niku-Lari, A., IITT international (1997)

    Google Scholar 

  6. Cao, C., Wang, H., Sui, Y.: Knowledge modeling and acquisition of traditional Chinese herbal drugs and formulae from text. Artificial Intelligence in Medicine 32(1), 3–13 (2004)

    Article  Google Scholar 

  7. Cheung, C.F., Lee, W.B., Wang, W.M., Chu, K.F., To, S.: A multi-perspective knowledge- based system for customer service management. Expert Systems with Applications 24(4), 457–470 (2003)

    Article  Google Scholar 

  8. Gaines, B.R.: An overview of knowledge-acquisition and transfer. International Journal of Man Machine Studies 26, 453–472 (1987)

    Article  Google Scholar 

  9. Gruber, S.T.: The Acquisition of Strategic Knowledge. Academic Press Inc., London (1988)

    Google Scholar 

  10. Jantzen, J., Axer, H., von Keyserlingk, D.G.: Diagnosis of aphasia using neural and fuzzy techniques. In: Zimmermann, H.-J., Tselentis, G., van Someren, M., Dounias, G. (eds.) Advances in computational intelligence and learning. Massachussets, pp. 461–474. Kluwer Academic Publishers, Dordrecht (2002)

    Google Scholar 

  11. Kang, B.: Multiple classification ripple down rules. PhD Thesis, University of New South Wales (1996)

    Google Scholar 

  12. Kelly, G.A.: The psychology of personal constructs, vol. 1. W.W Norton, NY (1955)

    Google Scholar 

  13. Klinker, G., Bentolila, J., Genetet, S., Grimes, M., McDermott, J.: KNACK–Reportdriven knowledge acquisition. International Journal of Man Machine Studies 26, 65–79 (1987)

    Article  Google Scholar 

  14. Lee, R.C.T., Chang, R.C., Tseng, S.S.: Introduction to the Design and Analysis of Algorithms, ch. 7. Prentice Hall, Reading (1989)

    Google Scholar 

  15. Lin, S.-C., Tseng, S.-S.: Constructing detection knowledge for DDoS intrusion tolerance. Expert Systems with Applications 27(3), 379–390 (2004)

    Article  Google Scholar 

  16. Leitich, H., Kiener, H.P., Kolarz, G., Schuh, C., Graninger, W., Adlassnig, K.-P.: A prospective evaluation of the medical consultation system CADIAG-II/RHEUMA in a rheumatological outpatient clinic. Methods Inform Med. 40, 213–220 (2001)

    Google Scholar 

  17. Marcus, S.: Taking backtracking with a grain of SALT. International Journal of Man-Machine Studies 26, 383–398 (1987)

    Article  Google Scholar 

  18. McIvor, R.T., McCloskey, A.G., Humphreys, P.K., Maguire, L.P.: Using a fuzzy approach to support financial analysis in the corporate acquisition process. Expert Systems with Applications 27(4), 533–547 (2004)

    Google Scholar 

  19. Millar, A.: WordNet: an on-line lexical resource. Journal of Lexicography 3(4) (1990)

    Google Scholar 

  20. Schreiber, G., Wielinga, B., Breuker, J.: KADS: A principle approach to knowledgebased system development. Academic Press, London (1993)

    Google Scholar 

  21. Shaw, M.L.G., Gaines, B.R.: KITTEN: Knowledge initiation and transfer tools for experts and novices. International Journal of Man-Machine Studies 27, 251–280 (1987)

    Article  Google Scholar 

  22. Storari, S., Lamma, E., Mancini, R., Mello, P., Motta, R., Patrono, D., Canova, G.: Validation of biochemical laboratory results using the DNSev expert system. Expert Systems with Applications 25(4), 503–515 (2003)

    Article  Google Scholar 

  23. Theratrac, Biomerieux, www.theratrac.com (Accessed July 10, 2001)

  24. Vitek, Biomerieux, www.biomerieux.com (Accessed July 10, 2001)

  25. Yan, H., Jiang, Y.T., Zheng, J., Fu, B.M., Shao, S., Peng, C.: The internet-based knowledge acquisition and management method to construct large-scale distributed medical expert systems. Computer Methods and Programs in Biomedicine 74(1), 1–10 (2004)

    Article  Google Scholar 

  26. Yang, B.-S., Lim, D.-S., Tan, A.C.C.: VIBEX: an expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table. Expert Systems with Applications 28(4), 735–742 (2005)

    Article  Google Scholar 

  27. Zhang, D., Lee, V., Friedel, J., Keyser, R.: Automated Facts Generation From Raw Data: A Perspective From The ANDES Project. Electronic Notes in Theoretical Computer Science, vol. 25(1), pp. 1–10 (February 2004)

    Google Scholar 

  28. Zhou, Z.-H., Jiang, Y., Yang, Y.-B., Chen, S.-F.: Lung cancer cell identification based on artificial neural network ensembles. Artificial Intelligence in Medicine 24(1), 25–36 (2002)

    Article  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Information Management Department, National Chi Nan University, Puli, Nantou, 545, Taiwan, R.O.C.

    Jun-Ming Chen & Carol H. C. Chu

  2. Information Management Department, Ling Tung College, Taichung, 408, Taiwan, R.O.C

    Gwo-Haur Hwang

  3. Department of Information and Learning Technology, National University of Tainan, Tainan, 700, Taiwan, R.O.C.

    Gwo-Jen Hwang

Authors
  1. Jun-Ming Chen
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  2. Gwo-Haur Hwang
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  3. Gwo-Jen Hwang
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  4. Carol H. C. Chu
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Chen, JM., Hwang, GH., Hwang, GJ., Chu, C.H.C. (2005). Analyzing Domain Expertise by Considering Variants of Knowledge in Multiple Time Scales. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_184

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  • DOI: https://doi.org/10.1007/11553939_184

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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