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Dynamic Knowledge Map and SQL-based Inference Architecture for Medical Diagnostic Systems

Kim, Jin-Sung   (School of Business Administration, Jeoniu University  );
  • 초록

    In this research, we propose a hybrid inference architecture for medical diagnosis based on dynamic knowledge map (DKM) and relational database (RDB). Conventional expert systems (ES) and developing tools of ES has some limitations such as, 1) time consumption to extend the knowledge base (KB), 2) difficulty to change the inference path, 3) inflexible use of inference functions and operators. To overcome these Limitations, we use DKM in extracting the complex relationships and causal rules from human expert and other knowledge resources. The DKM also can help the knowledge engineers to change the inference path rapidly and easily. Then, RDB and its management systems help us to transform the relationships from diagram to relational table.


  • 주제어

    DBMS .   Expert systems .   Knowledge based systems .   Knowledge map (KM) .   RDB .   SQL.  

  • 참고문헌 (9)

    1. Gomez, A., Moreno, A., Pazos, J., &Sierra-Alonso, A. (2000), Knowledge maps: An essential technique for conceptualization, Data & Knowledge Engineening, 33, 169-190 
    2. Shortliffe, E.H. (1976), Computer based medical consultations: MYClN, Elsevier, New York 
    3. Jackson, P. (1999), Introduction to Expert Systems (3rd eds.), Addison Wesley Longman Limited 
    4. Woo, J., Clayton, MJ., Johnson, R.E., Flores, BE., and Ellis, C. (2004), Dynamic knowledge map: reusing experts' tacit knowledge in the AEC industry, Automation in Construction, 13, 203-207 
    5. Beier, J. and Tesche, T. (2001), Navigation and interaction in medical knowledge spaces using topic maps, Intemational Congress Series, 1230(0), 384-388 
    6. Veryha, Y. (2005), Implementation of fuzzy classification m relational databases using conventional SQL querying, Information and Software Technology, 47(5), 357-364 
    7. Davenport, T. and Prusak, L. (998), Working knowledge: How organizations manage what they know, Harvard Business School Press, Boston 
    8. McCagg, E.C. and Dansereau, D.F. (1991), A convergence paradigm for examining knowledge mapping as a learning strategy, Journal ofEducational Research, 84(6), 317-324 
    9. Polanyi, M. (1966), The tacIt dimension, Dobuleday, Garden City 

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