Cognitive Style Affecting Visual Ontology Design - KOMET Project Results

Tatiana A. Gavrilova, Irina A. Leshcheva

Abstract

The paper presents the main results of research performed within the KOMET (Knowledge and cOntent structuring via METhods of collaborative ontology design) project that was aimed at developing a novel paradigm for knowledge structuring. By knowledge structure we define the main domain concepts and relations between them in a form of graph, map or diagram. Knowledge structures represent conceptual models. This approach considers individual cognitive styles and uses recent advances in knowledge engineering and conceptual structuring; it aims at creating new consistent and structurally holistic knowledge bases for various areas of science and technology. Research into correlations between the expert’s individual cognitive style and the peculiarities of expert’s subject domain ontology development has been completed. Implications for practice are briefly delineated.

References

  1. Barros, B., Verdejo, M. F., Read, T., Mizoguchi, R., 2002. Applications of a collaborative learning ontology. In C.A.Coello Coello at al., (Eds.) MICAI 2002: LNAI 2313, Heidelberg, Berlin: Springer-Verlag, pp. 301-310.
  2. Bolotnikova, E. S., Gavrilova, T. A., Gorovoy, V. A., 2011. To a Method of Evaluating Ontologies. Journal of computer and systems sciences international, vol. 50. no. 3, pp. 448-461.
  3. Brochhausen M. M., Spear, A. D., Cocos, C. C., Weiler, G. G., Martín, L. L., Anguita, A. A., Tsiknakis, M. M., 2011. The ACGT Master Ontology and its applications - Towards an ontology-driven cancer research and management system. Journal Of Biomedical Informatics, vol. 44, no. 1, pp. 8-25.
  4. Buzan, T., 2005. Mind Map handbook. London: Thorsons.
  5. Chandrasekaran, B., Josephson, J. R., Benjamins, V. R., 1999. What are ontologies, and why do we need them? Intelligent Systems and their Applications, vol. 14, no. 1, pp. 20-26.
  6. Conlon, T., 1997. Towards Diversity: Advancing Knowledge-based Modelling with Knowledge Acquisition. In Proceedings of 8th International PEG Conference, Bulgaria, Sozopol, pp. 379-386.
  7. Cross, R., Parker, A., Prusak, L., Borgatti, S., 2001. Knowing what we know: Supporting knowledge creation and sharing in social networks. Organizational Dynamics, vol. 30, no. 2, pp. 100-120.
  8. Fillenbaum, S., 1959. Some stylistic aspects of categorizing behavior. Journal of Personality, vol. 27, no. 2, pp. 187-195.
  9. Gaeta, M., Orciuoli, F., Ritrovato, P., 2009. Advanced ontology management system for personalised e-Learning. Knowledge-Based Systems, vol. 22, no. 4, pp. 292-301.
  10. Gangemi, A., Catennaci, C., Ciaramita, M., Lehman, J., 2006. Modelling ontology evaluation and validation. In Sure Y. and Domingue J. (Eds.) The Semantic Web: Research and Applications, LNCS 4011, Heidelberg, Berlin: Springer-Verlag, pp. 140-154.
  11. Gavrilova, T., Bolotnikova, E., Gorovoy, V., 2012. New Ergonomic Metrics for Educational Ontology Design and Evaluation. In Fujita H. & Revetria R. (Eds.) «New Trends in Software Methodologies, Tools, and Techniques Frontiers» in Artificial Intelligence and Applications series, vol. 246, Proceedings of the Tenth SoMet_12, IOS Press, pp. 361-378.
  12. Gavrilova, T., Leshcheva, I., Bolotnikova, E., 2012. Using visual conceptual models in teaching. In Proceedings of the 8th International Conference on Education ICE2012, Greece: Research and Training Institute of East Aegean, ?p. 191-197.
  13. Gavrilova, T., Leshcheva, I., Bolotnikova, E., Blagov, E., Yanson, A., 2013. Measuring Psychological Impact on Group Ontology Design and Development: Empirical Approach. In Klinov P., Mouromtsev D. (Eds.) Proceedings of 4th International Conference “Knowledge Engineering and the Semantic Web”. Book series “Communications in Computer and Information Science”, Vol. 394, Springer, pp. 29-43.
  14. Gavrilova, T. A., Voinov, A., 1996. Visualized Conceptual Structuring for Heterogeneous Knowledge Acquisition. In: Proceedings of International Conference on Educational Multimedia and Hypermedia, EDMEDIA'96, Boston: MIT. pp. 258-264.
  15. Gómez-Pérez, A., Fernández-López, M., Corcho, O., 2004. Ontological Engineering with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. London: Springer-Verlag.
  16. Grosslight, L., Unger, C., Jay, E., Smith, C. L., 1991. Understanding models and their use in science: Conceptions of middle and high school students and experts. Journal of Research in Science teaching, vol. 28, no. 9, pp. 799-822.
  17. Gruber, T. 1993. A translation approach to portable ontology specifications. Knowledge Acquisition, vol. 5, no. 2, pp. 199-220.
  18. Guarino, N., Giaretta, P., 1998. Ontologies and Knowledge Bases: Towards a Terminological Clarification. In Towards Very Large Knowledge Bases: Knowledge Building & Knowledge Sharing, IOS Press, pp. 25-32.
  19. Hayes, J., Allinson, C. W., 1998. Cognitive style and the theory and practice of individual and collective learning in organizations. Human Relations, vol. 51, no. 7, pp. 847-871.
  20. Jonassen, D. H., 1998. Designing constructivist learning environments. In Reigeluth C. M. (Ed.), Instructional design models and strategies, 2nd ed, Mahwah, NJ: Lawrence Erlbaum.
  21. Kagan, J., 1966. Reflection-impulsivity: the generality and dynamics of conceptual tempo. Journal of Abnormal Psychology, vol. 71, no. 1, pp. 17-24.
  22. Kholodnaya, M., 2004. Kognitivnye stili. O prirode individual'nogo uma. 2nd ed. Saint Petersburg: Piter (in Russian).
  23. Kotova E. E., 2013. Modeling of individual student learning scenarios based on personal cognitive style parameters. Human Factor: Psychological and Ergonomics Problems, vol. 4, no. 67, pp. 124-128 (in Russian).
  24. Kinchin, I. M., De-Leij, F. A. A. M., Hay, D. B., 2005. The evolution of a collaborative concept mapping activity for undergraduate microbiology. Journal of Further and Higher Education, vol. 29, no. 1, pp. 1- 14.
  25. Mizoguchi, R., Bourdeau, J., 2000. Using Ontological Engineering to Overcome Common AI-ED Problems. International Journal of Artificial Intelligence in Education, vol. 11, no. 2, pp. 107-121.
  26. Neches, R., Fikes, R. E., Finin, T., Gruber, T., Patil, R., Senator, T., Swartout, W. R., 1991. Enabling Technology for Knowledge Sharing. AI Magazine, vol. 12, no. 3, pp. 36-56.
  27. Novak, J. D., 1998. Learning, Creating, and Using Knowledge: Concept Maps as Facilitative Tools in Schools and Corporations. Mahwah, NJ: Lawrence Erlbaum & Assoc.
  28. Novak, J. D., Cañas, A. J., 2006. The Theory Underlying Concept Maps and How to Construct Them. Technical Report IHMC CmapTools 2006-01. Florida Institute for Human and Machine Cognition. Retrieved online December 12, 2006, from http://cmap.ihmc.us/ Publications/ResearchPapers/TheoryUnderlyingConce ptMaps.pdf
  29. O'Donnell, A. M, Dansereau, D. F., Hall, R. H., 2002. Knowledge Maps as Scaffolds for Cognitive Processing. Educational Psychology Review, vol. 14, no. 1, pp. 71-86.
  30. Oltramari, A., Ferrario, R., 2009. Formal Ontologies Meet Industry. Amsterdam: IOS Press.
  31. Peterson, E. R., Rayner, S. G., Armstrong, S. J. 2009. Researching the psychology of cognitive style and learning style: Is there really a future? Learning and Individual Differences, vol. 19, no. 4, pp. 518-523.
  32. Pettigrew, T. F., 1958. The measurement and correlates of category width as a cognitive variable. Journal of Personality, vol. 26, no. 4, pp. 532-544.
  33. Pfister, R. A., Eppler, M. J., 2012. The benefits of sketching for knowledge management. Journal Of Knowledge Management, vol. 16, no. 2, pp. 372-382.
  34. Schnotz, W., Kurschner, C., 2008. External and Internal Representations in the Acquisition and Use of Knowledge: Visualization Effects on Mental Model Construction. Instructional Science: An International Journal Of The Learning Sciences, vol. 36, no. 3, pp. 175-190.
  35. Shneiderman, B., 1996. The eyes have it: a task by data type taxonomy for information visualizations. IEEE Symposium on Visual Languages, IEEE Computer Society Press, pp. 336-343.
  36. Sowa, J. F., 1984. Conceptual Structures: Information Processing in Mind and Machine. Reading, MA: Addison-Wesley.
  37. Witkin, H. A., 1971. A manual for the embedded figures tests. Consulting Psychologists Press.
  38. Witkin, H. A., Moore, C. A., Goodenough, D. R. Cox, P. W., 1977. Field-dependent and field-independent cognitive styles and their educational implications. Review of Educational Research, vol. 47, no. 1, pp. 1-64.
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Paper Citation


in Harvard Style

A. Gavrilova T. and A. Leshcheva I. (2014). Cognitive Style Affecting Visual Ontology Design - KOMET Project Results . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014) ISBN 978-989-758-049-9, pages 207-214. DOI: 10.5220/0005037302070214


in Bibtex Style

@conference{keod14,
author={Tatiana A. Gavrilova and Irina A. Leshcheva},
title={Cognitive Style Affecting Visual Ontology Design - KOMET Project Results},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)},
year={2014},
pages={207-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005037302070214},
isbn={978-989-758-049-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)
TI - Cognitive Style Affecting Visual Ontology Design - KOMET Project Results
SN - 978-989-758-049-9
AU - A. Gavrilova T.
AU - A. Leshcheva I.
PY - 2014
SP - 207
EP - 214
DO - 10.5220/0005037302070214