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Trudy SPIIRAN, 2018, Issue 59, Pages 164–191
DOI: https://doi.org/10.15622/sp.59.7
(Mi trspy1017)
 

This article is cited in 5 scientific papers (total in 5 papers)

Artificial Intelligence, Knowledge and Data Engineering

Context-oriented competence management in expert networks

V. A. Stepanenkoa, A. M. Kashevnikb, A. V. Gurtovc

a ITMO University (Saint Petersburg National Research University of Information Technologies, Mechanics and Optics)
b St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS)
c Linköping University (LIU)
Abstract: Nowadays it is highly important for any organization to manage its resources effectively because of an unstable economy. There are two main resources of an organization: human resources and knowledge, which humans have. One of the ways for knowledge management is formalization of the competence management process by means of information systems. The choice of system depends on future use cases and system requirements. The purpose of this research is to analyze the competence management systems based on revealed common use cases and requirements. The result of the paper is a list with revealed common use cases and requirements, which could be useful for developing a new competence management system or for improving and modification an existing one. Based on the determined use cases and requirements the reference model of context-oriented competence management system in expert networks and context classification for current situation formalization have been developed. Developed reference model is oriented to take into account the current situation in the expert network. For this purposes a context model has been proposed that distinguishes participant context, active context, and project context. For the reference model efficiency estimation task for expert group search with needed competence set has been considered in the paper. In case of small amount of experts in expert network the classical system shows the better results but in case of large amount of experts the proposed system is better.
Keywords: competence management system, expert networks, competency, competence, common use cases.
Funding agency Grant number
Russian Foundation for Basic Research 16-29-12866_офи_м
Russian Academy of Sciences - Federal Agency for Scientific Organizations 0073-2018-0002
ITMO 617038
This research is supported by RFBR (grant 16-29-12866), State Research # 0073-2014-0005 and ITMO University (Project № 617038).
Received: 29.12.2017
Bibliographic databases:
Document Type: Article
UDC: 004.8
Language: Russian
Citation: V. A. Stepanenko, A. M. Kashevnik, A. V. Gurtov, “Context-oriented competence management in expert networks”, Tr. SPIIRAN, 59 (2018), 164–191
Citation in format AMSBIB
\Bibitem{SteKasGur18}
\by V.~A.~Stepanenko, A.~M.~Kashevnik, A.~V.~Gurtov
\paper Context-oriented competence management in expert networks
\jour Tr. SPIIRAN
\yr 2018
\vol 59
\pages 164--191
\mathnet{http://mi.mathnet.ru/trspy1017}
\crossref{https://doi.org/10.15622/sp.59.7}
\elib{https://elibrary.ru/item.asp?id=35358995}
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  • https://www.mathnet.ru/eng/trspy/v59/p164
  • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Informatics and Automation
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