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The cognitive approach to the creation of ontology

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Automatic Documentation and Mathematical Linguistics Aims and scope

Abstract

The paper deals with the inclusion of human factors in the development of intellectual systems based on achievements in cognitive psychology ranging from the heuristic Gestalt principle to modern perspectives of psychosemantics. It contends the importance of secondary factors in the expert’s model of the world, primarily the axiological and aesthetic models, as conveying holism and balance to the model of the world. Practical advice for designing ontology in soft object domains ensuing from the suggested approach is to maximize the use of an expert’s specific holistic view of the given domain in addition to more effective engineering applications of this ontology.

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References

  1. Gruber, T., A translation approach to portable ontology specifications, Knowledge Acquisition, 1993, vol. 5, pp. 199–220.

    Article  Google Scholar 

  2. Popov, E.V., Corporate systems of knowledge management, Novosti iskusstvennogo intellekta, 2001, no. 1.

  3. Gavrilova, T.A., Khoroshevskii, V.F., Bazy znanii intellektualnykh system: Uchebnik (Knowledge Bases of Intellectual Systems: Handbook), St. Petersburg: Piter, 2001.

    Google Scholar 

  4. Gavrilova, T.A., Upravleniye znaniyami: CHTO DELAT? (Knowledge Management: WHAT TO DO?), Sb. dokl. 7-i nauch.-prakt. konf. “Reindzheniring biznes-protsessov na osnove informatsionnykh tekhnologii. Sistemy upravleniya znaniyami” (Proc. 7th sc.-pract. conf. “Reengineering of Business-processes on the Basis of Modern Information Technologies. Systems of Knowledge Management”) (RBP-SUZ-2004), Moscow, 2004, pp. 61–67.

  5. Velichkovskii, B.M., Kognitivnaya nauka. Osnovy psikhologii poznaniya (Cognitive Science. Basics of Psychology of Cognition), Moscow: Smysl, 2006.

    Google Scholar 

  6. Boose, J.H., A knowledge acquisition program for expert systems based on personal construct theory, Int. J. of Man-Machine Studies, 1985, vol. 23, pp. 495–525.

    Article  Google Scholar 

  7. Gaines, B.R. and Shaw, M.L.G., Knowledge acquisition tools based on personal construct theory, The Knowledge Eng. Review, 1993, vol. 8, pp. 49–85.

    Article  Google Scholar 

  8. Voinov, A.V. and Gavrilova, T.A., Knowledge Engineering and Psychosematics: An Approach to Exposure of In-depth Knowledge, Izv. RAS. Tech. Kibernetika, 1994, no. 5, pp. 3–11.

  9. Gavrilova, T.A. and Voinov, A.V., Anthropocentric Approach to Development of Adaptive Systems: Methodology and Instruments, in 6-ya mezhd. konf. po iskusst. intellekta (KII-98) (6th International Conference on Artificial Intelligence (KII-98)), Pushchino, 1998, vol. 1, pp. 35–41; vol. 3, pp. 58–59.

    Google Scholar 

  10. Petrenko, V.F., Vvedeniye v eksperimentalnuyu psikhosemantiku: issledovanie form reprezentatsii v obydennom soznanii (Introduction to Experimental Psychosemantics: Study of Forms of Representation in Ordinary Thinking), Moscow, 1983.

  11. Petrenko, V.F., Osnovy psikhosemantiki (Principles of Psychosemantics), 2nd ed.; St. Petersburg: Piter, 2005.

    Google Scholar 

  12. Shmelev A. G. Vvedeniye v eksperimentalnuyu psikhosemantiku (Introduction in Experimental Psychosemantics), Moscow: Mosk. Gos. Univ., 1983.

    Google Scholar 

  13. Zikchenko, V.P., Heterogenesis of the Creation Act: Inadvertent Contribution of Cognitive Psychology and Psychology of Activity, in 2-ya mezd. konf. po kognitivnoi nauke (2nd International Conference on Cognitive Science), St. Petersburg, 2006, pp. 279–280.

  14. Kobrinskii, B.A., On Formal Representation of Imagery Thinking and Intuition of a Specialist in Softly Structured Object Domain, Novosti iskusstennogo intellekta, 1998, vol. 3, pp. 64–76.

    Google Scholar 

  15. Voinov, A.V., Kobrinskii, B.A., Hierarch of Locally Consistent Knowledge Domains As a Model of Imagery Thinking and Intuition of an Expert in Soft Object Domains, in Trudy 9-i nats. konf. po iskusstv. intellektu s mezhd. uchastiem (9th National Conference on Artifical Intelligence with international participation: Proceedings of the Conference), Moscow: Fizmatlit, 2004.

    Google Scholar 

  16. Solso, R.L., Kognitivnaya psikhologia (Cognitive Psychology), Moscow: Trivolga, 1996.

    Google Scholar 

  17. Pearls, F., Geshtalt-podkhod i svidetel’ terapii (Gestaltapproach and Therapy Witness) Libris, 1996.

  18. Shestak, L.A., Russkaya yazykovaya lichnost’: Kody obraznoi verbalizatsii tesaurusa (Russian Language Personality: Codes of Imagery Verbalization of Thesaurus), Volgograd: Peremena, 2003.

    Google Scholar 

  19. Gavrilova, T.A., Ontology Approach to Knowledge Management in Developing Corporate Information Systems, Nov. Iskusst. Intel., 2003, no. 2, pp. 24–30.

  20. Gavrilova, T. and Laird D., Practical Design of Business Enterprise Ontologies, Industrial Applications of Semantic Web, Bramer, M. and Terzyan, V., Eds., Springer, 2005, pp. 61–81.

  21. Miller, G., The Magical Number Seven, Plus or Minus Two: Some Limits on Our Capacity for Processing Information, Psych. Rev., 1956, vol. 63, pp. 81–97.

    Article  Google Scholar 

  22. Narinyakya, A.S., NE-faktory (NON-factors) Trudy 9-oi nats. konf. po iskusst. intellektu s mezhd. uchastiem (Proceedings of the 9th National conference on artificial intelligence with international participation (KII-2004)), Moscow: Fizmatlit, 2004, vol. I, pp. 420–432.

    Google Scholar 

  23. Dubois, D. and Prade, H., Possibility Theory: An Approach to Computerized Processing of Uncertainty, New York: Plenum Press, 1988.

    MATH  Google Scholar 

  24. Mironov, A.M., Logics with Fuzzy Modalities, Foundations and applications of possibility theory: Proc. of FART’95, de Cooman, G., and Ruan Da., Kerre, E.E., Eds., World Scientific, 1995, pp. 165–182.

  25. Esteva, F., Garcia, P., Godo, L., and Rodriguez, R., A Modal Account of Similarity-Based Reasoning, International J. Approximate Reasoninig, 1997, vol. 16, pp. 235–260.

    Article  MATH  MathSciNet  Google Scholar 

  26. Voinov, A.V., Ontology Integration and Extraction of Holistic Knowledge, Nov. Iskusst. Intel., 2005, no. 2.

  27. Wertgaimer, M., Produktivnoye myshleniye (Productive Thinking), Moscow: Progress, 1987.

    Google Scholar 

  28. Voinov, A.V., Intellektualnaya sistema analiza dayyskh MEDIS (Intellectual System of Data Analysis MEDIS), in 5-ya nats. konf. s mezhd. uchastiem “Iskusst. intellekt-96” (5th National Conference with International Participation “Artificial Intellect-96 (KII-96)), Kazan, 1996, vol. 3.

  29. Rosch, E.H., Principles of categorization, Cognition and Categorization, Rosch, E., Lloyd, B.B., Eds., Hillsdale, NJ: Erlbaum, 1978.

    Google Scholar 

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Authors
  1. T. A. Gavrilova
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  2. A. V. Voinov
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Additional information

Original Russian Text © T.A. Gavrilova, A.V. Voinov, 2007, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2, 2007, No. 3, pp. 59–64.

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Gavrilova, T.A., Voinov, A.V. The cognitive approach to the creation of ontology. Autom. Doc. Math. Linguist. 41, 59–64 (2007). https://doi.org/10.3103/S0005105507020021

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  • DOI: https://doi.org/10.3103/S0005105507020021

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