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JOURNALS // Informatics and Automation // Archive

Tr. SPIIRAN, 2018 Issue 59, Pages 164–191 (Mi trspy1017)

This article is cited 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.

UDC: 004.8

Received: 29.12.2017

DOI: 10.15622/sp.59.7



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