Visual knowledge engineering as a cognitive tool

1. Adeli H. Knowledge Engineering. McGraw-Hill. New-York (1995)

   Google Scholar 

2. Aussenac-Gilles, Natta, Aussenac-Gilles, N.-Natta, N Making the Method Solving Explicit with MACAO: SIZYPHUS, Case-Study. In: Linster, M. (Ed.): Sisyphus'92: Models of problem solving, GMD-Arbeitspapiere (1993) 1–21

   Google Scholar 

3. Boose J.H., Shema D.B., Bradshaw J.M. Recent progress in AQUINAS: a Knowledge Acquisition Workbench. Knowledge Acquisition—Vol. 1, N 1. (1995) 185–214

   Google Scholar 

4. Boose J.H. ETS: a PSP-Based Program for Building Knowledge-Based Systems. Proc. WESTEX-86: IEEE West. Conf. Knowledge-Based Engineering and Expert Systems in Anaheim, Calif. June 24–26. Washington: D.C. (1986)

   Google Scholar 

5. Eisenstadt M., Domingue J., Rajan T., Motta E. Visual Knowledge Engineering, IEEE Transactions on Software Engineering, Vol. 16, No. 10 (1986) 1164–1177

   Google Scholar 

6. Fernandez, M.; Gomez-Perez, A.; Juristo, N. METHONTOLOGY: From Ontological Art Towards Ontological Engineering. Spring Symposium Series. Stanford. (1997) 33–40

   Google Scholar 

7. Gaines B.R. Second Generation Knowledge Acquisition Systems. Proceedings of the Second European Knowledge Acquisition Workshop, Bonn, 17 (1986) 1–14

   Google Scholar 

8. T. Gavrilova, T. Chernigovskaya, A. Voinov, S. Udaltsov. Intelligent Development Tool for Adaptive Courseware on WWW. 4-th International Conference on Computer Aided Learning and Instruction in Science and Engineering. June 15–17, Chalmers University of Technology Göteborg, Sweden (1998) 464–467

   Google Scholar 

9. Gavrilova T., Voinov A. Visualized Conceptual Structuring for Heterogeneous Knowledge Acquisition. Proceedings of the International Conference on Education and Mulimedia EDMED'96. MIT. Boston (1996)

   Google Scholar 

10. Gavrilova T., Voinov A. Work in Progress: Visual Specification of Knowledge Bases. 11-th International conf. On Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA-98-AIE, Spain, Benicassim, Springer (1998) 717–726

    Google Scholar 

11. Gruber, T. Toward Principles for the Design of Ontologies Used for Knowledge Sharing. Technical Report KSL-93-04. Knowledge Systems Laboratory. Stanford University, CA (1992)

    Google Scholar 

12. Gruninger, M.; Fox, M.S. Methodology for the Design and Evaluation of Ontologies. IJCAI Workshop on Basic Ontological Issues in Knowledge Sharing. Montreal, Quebec, Canada (1995)

    Google Scholar 

13. Jonassen, D. H. Representing the expert's knowledge in hypertext. Impact Assessment Bulletin, 9(1) (1991) 1–13

    Google Scholar 

14. Jonassen, D.H., Beissner, K., & Yacci, M.A. Structural knowledge: Techniques for representing, conveying, and acquiring structural knowledge. Hillsdale, NJ: Lawrence Eribaum (1993)

    Google Scholar 

15. Jonassen, D.H., & Marra, R.M. Concept mapping and other formalisms as Mindtools for representing knowledge. Alt-J: Association for Learning Technology Journal, 2(1) (1994) 50–56

    Google Scholar 

16. Jonassen, D.H. Computers in the Classroom: Mindtols for Critical Thinking. Prentice Hall (1996)

    Google Scholar 

17. Joseph, R.L.: Graphical Knowledge Acquisition, Proceedings of the Fourth Knowledge Acquisition for Knowledge-Based System Workshop, Banff, October, 18. 1–16

    Google Scholar 

18. Kremer, R. Visual Languages for Knowledge Representation. Proceedings of the 11^th Banff Knowledge Acquisition for Knowledge-Based Systems-Workshop.

    Google Scholar 

19. Liu, X. The validity and reliability of concept mapping as an alternative science assessment when item response theory is used for scoring. Paper presented at the Annual Meeting of the American Educational Research Association, New Orleans, LA (ERIC Document No. 370992) (1994)

    Google Scholar 

20. Musen, M.: Conceptual Models of Interactive Knowledge Acquisition Tools, Knowledge Acquisition, Vol. 1, No. 1 (1994) 73–88

    Article  Google Scholar 

21. Nosek, J.T. & Roth, I. A comparison of Formal Knowledge Representation Schemes as Communication Tools: Predicate Logics vs. Semantic Network, International Journal of Man-Machine Studies, 33 227–239

    Google Scholar 

22. Shavelson, R.J., Lang, H., & Lewin, B. On concept maps as potential “authentic” assessments in science (CSE Technical report No. 388). Los Angeles, CA: National Centre for Research on Evaluation, Standards, and Student Testing (CRESST), UCLA (1994)

    Google Scholar 

23. Sowa, J. F. Conceptual Structures: Information Processing in Mind and Machine, Addison-Wesley, Reading, Mass.

    Google Scholar 

24. Tuthill, S. Knowledge Engineering. TAB Professional and Reference Books.

    Google Scholar 

25. Uschold, M., Gruninger, M. ONTOLOGIES: Principles, Methods and Applications. Knowledge Engineering Review. Vol. 11; N. 2 (1996)

    Google Scholar 

    Google Scholar 

26. Welsh M. http://www.linux.org/LDP (1995)

    Google Scholar 

27. Wielinga B., Schreiber G., Breuker J. (1992) A Modeling Approach to Knowledge Engineering. Knowledge Acquisition, 4 (1). Special Issue. (1992)

    Google Scholar 

    Google Scholar 

Download references