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Knowledge Acquisition from Multiple Experts Based on Semantics of Concepts

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Knowledge Acquisition, Modeling and Management (EKAW 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1621))

Abstract

This paper presents one approach to acquire knowledge from multiple experts. The experts are grouped into a multilevel hierarchical structure, according to the type of knowledge acquired. The first level consists of experts who have knowledge about the basic objects and their relationships. The second level of experts includes those who have knowledge about the relationships of the experts at the first level and each higher level accordingly. We show how to derive the most supported opinion among the experts at each level. This is used to order the experts into categories of their competence defined as the support they get from their colleagues.

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Author information

Authors and Affiliations

  1. University of Jyväskylä, P.O.Box 35, FIN-40351, Jyväskylä, Finland

    Seppo Puuronen

  2. Kharkov State Technical University of Radioelectronics, 14 Lenin Avenue, 310166, Kharkov, Ukraine

    Vagan Terziyan

Authors
  1. Seppo Puuronen
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  2. Vagan Terziyan
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Editor information

Editors and Affiliations

  1. AIFB Institute for Applied Computer Science and Formal Description Methods, University of Karlsruhe, D-76128, Karlsruhe, Germany

    Dieter Fensel  & Rudi Studer  & 

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© 1999 Springer-Verlag

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Puuronen, S., Terziyan, V. (1999). Knowledge Acquisition from Multiple Experts Based on Semantics of Concepts. In: Fensel, D., Studer, R. (eds) Knowledge Acquisition, Modeling and Management. EKAW 1999. Lecture Notes in Computer Science(), vol 1621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48775-1_16

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  • DOI: https://doi.org/10.1007/3-540-48775-1_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66044-6

  • Online ISBN: 978-3-540-48775-3

  • eBook Packages: Springer Book Archive

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