Design and implementation of new object-oriented rule base management system

Expert Systems with Applications

Volumn 25, Issue 3, 2003, Pages 369-385

  Lin, Yao Tsung ^a   Tseng, S S ^a   Tsai, Chi Feng ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Computer assisted learning; Knowledge base; Object oriented; Rule base

Indexed keywords

KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL MODELS;

RULE BASE MANAGEMENT SYSTEMS;

EXPERT SYSTEMS;

EID: 0141921654     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0957-4174(03)00064-2     Document Type: Article

References (35)

1. Anderson J.R. Cognitive psychology and its implications. 1995;W.H. Freeman, New York.
2. Beishuizen J.J., Stoutjesdijk E.T. Study strategies in a computer assisted study environment. International Journal of Learning and Instruction. 9:1999;281-301.
3. Booch G. Object-oriented design with applications. 2nd ed:1991;Benjamin/Cummings, San Francisco, CA.
4. Buchanan B.G., Shortliffe E.H. Rule-based expert systems. 1984;Addison-Wesley, London.
5. Choi B., Lee H. Knowledge management strategy and its link to knowledge creation process. Expert Systems with Applications. 23:(3):2002;173-187.
6. Chou C. A computer logging method for collecting use-reported inputs during formative evaluation of computer network-assisted distance learning. Proceedings of ED-Media'96. 1996.
7. CLIPS (1998). CLIPS reference manual volume I basic programming guide. Software Technology Branch, Lyndon B. Johnson Space Center, Version 6.10.
8. Collins A.M., Quillian M.R. Retrieval time from semantic memory. Journal of Verbal Learning and Verbal Behavior. 1969.
9. Deese J. The structure of associations in language and thought. 1965;Johns Hopkins Press, Baltimore.
10. DRAMA (2003). Coretech Inc, http://www.ctknow.com.tw/rule.htm.
11. Van Elst L., Abecker A. Ontologies for information management: balancing formality, stability, and sharing scope. Expert Systems with Applications. 23:(4):2002;357-366.
12. Fikes R., Kehler T. The role of frame-based representation in reasoning. Communications of the ACM. 28:(9):1985;904-920.
13. Gagné R.M. The conditions of learning and theory of instruction. 1985;Holt, Rinehart and Winston, New York.
14. Gagné R.M. Learning outcomes and their effects. American Psychologist. 39:1984;377-385.
15. Giarratano J., Riley G. Expert systems: Principle and programming. 1989;PWS Publishing Company, Boston. pp. 63-102, see also pp. 509-513.
16. Ginsberg A., Weiss S.M., Politakis P. Automatic knowledge base refinement for classification systems. Artificial Intelligence. 35:(2):1988;197-226.
17. Glaser R. Thoughts on expertise. Schooler C., Schaie K.W. Cognitive functioning and social structure over the life course. 1987;81-94 Ablex Publishing Corporation, Norwood, NJ.
18. Hwang G.J., Tseng S.S. EMCUD: a knowledge acquisition method which captures embedded meanings under uncertainty. International Journal of Man Machine Studies. 33:1990;431-451.
19. Kingston J. High performance knowledge bases: four approaches to knowledge acquisition, representation and reasoning for workaround planning. Expert Systems with Applications. 23:(4):2001;181-190.
20. Kintsch W. Models for free recall and recognition. Norman D.A. Models of human memory. 1970;Academic Press, New York.
21. Klausmeier H.J. Cognitive operations in concept learning. Educational Psychologies. 1971.
22. Lee S., O'Keefe R.M. The effect of knowledge representation Scheme on maintainability of knowledge-based systems. IEEE Transactions on Knowledge and Data Engineering. 8:(1):1996;173-178.
23. Reichgelt H. Knowledge representation, an AI perspective. 1991;Ablex Publishing Corporation, Norwood, NJ.
24. Roesner H. Expert systems for commercial use. Artificial Intelligence and Expert Systems. 1988;35-59.
25. Rosca D., Wild C. Towards a flexible deployment of business rules. Expert Systems with Applications. 23:(4):2002;385-394.
26. Rumbaugh J., Blaha M., et al. Object-oriented modeling and design. 1991;Prentice Hall, New Jersey.
27. Salzgeber M.J., et al. Managing uncertainty in CLIPS: a system level approach. Proceedings of the 6th Florida Artificial Intelligence Research Symposium, Florida AI Research Society. 1993.
28. Sharable Content Object Reference Model (2003). Advanced Distributed Learning, http://www.adlnet.org/index.cfm.
29. Shortliffe E.H., Buchanan B.G. A model of inexact reasoning in medicine. Mathematical Biosciences. 23:1975;351-379.
30. Souza M.A.F., de Ferreira M.A.G.V. Designing reusable rule-based architectures with design patterns. Expert Systems with Applications. 23:(4):2002;395-403.
31. Tsai C.-J., Tseng S.S. Building a CAL expert system based upon two-phase knowledge acquisition. Expert Systems with Applications. 22:(3):2002;235-248.
32. Tulving E. Elements of episodic memory. 1983;Oxford University Press, Oxford.
33. Tulving E., Thomson D.M. Encoding specificity and retrieval processes in episodic memory. Psychological Review. 80:1973;352-373.
34. Wu X. Knowledge object modeling. IEEE Transactions on System. Man, and Cybernetics-Part a: Systems and Humans. 30:(2):2000.
35. Wu, Y. C (1999). An approach to object-oriented rule base management system. Master Thesis, Department of Computer and Information Science, National Chiao Tung University.