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Knowledge Elicitation Methods Taxonomy: Russian View

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Book cover Knowledge-Based and Intelligent Information and Engineering Systems (KES 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6881))

Abstract

The paper presents general classification of knowledge elicitation methods first and continues with elaboration of each individual method. In this paper we attempt to blend together Russian knowledge elicitation methods and practices with internationally applied methods. We concentrate on the analysis of knowledge elicitation methods of qualitative research. The result is a more comprehensive classification of knowledge elicitation methods. The classification further benefits from the authors’ rich practical experience of implementing these methods.

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Author information

Authors and Affiliations

  1. Graduate School of Management, St. Petersburg University, Volkhovsky per., 3, 199004, Saint-Petersburg, Russia

    Tatiana A. Gavrilova, Irina A. Leshcheva & Maria N. Rumyantseva

Authors
  1. Tatiana A. Gavrilova
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  2. Irina A. Leshcheva
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  3. Maria N. Rumyantseva
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Editor information

Editors and Affiliations

  1. Institute of Integrated Sensor Systems, University of Kaiserslautern, Erwin-Schroedinger-str. 12, 67663, Kaiserslautern, Germany

    Andreas König

  2. Knowledge-Based Systems Group, Department of omputer Science, University of Kaiserslautern, P.O. Box 3049, 67653, Kaiserslautern, Germany

    Andreas Dengel

  3. School of Business, University of Applied Sciences Northwestern Switzerland, Riggenbachstr. 16, 4600, Olten, Switzerland

    Knut Hinkelmann

  4. Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, 599-8531, Sakai, Osaka, Japan

    Koichi Kise

  5. KES International, P.O. Box 2115, BN43 9AF, Shoreham-by-sea, UK

    Robert J. Howlett

  6. University of South Australia, Mawson Lakes, 5095, Adelaide, SA, Australia

    Lakhmi C. Jain

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© 2011 Springer-Verlag Berlin Heidelberg

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Gavrilova, T.A., Leshcheva, I.A., Rumyantseva, M.N. (2011). Knowledge Elicitation Methods Taxonomy: Russian View. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6881. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23851-2_35

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  • DOI: https://doi.org/10.1007/978-3-642-23851-2_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23850-5

  • Online ISBN: 978-3-642-23851-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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