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Editor-in-Chief
Nikiforov
Vladimir O.
D.Sc., Prof.
Partners
doi: 10.17586/2226-1494-2017-17-5-859-871
COOPERATIVE INTERACTION OF EXPERT NETWORKS PARTICIPANTS: STATE-OF-THE ART ANALYSIS
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Article in Russian
For citation: Gugunova P.I., Kashevnik A.M. Cooperative interaction of expert networks participants: state-of-the art analysis. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2017, vol. 17, no. 5, pp. 859–871 (in Russian). doi: 10.17586/2226-1494-2017-17-5-859-871
Abstract
For citation: Gugunova P.I., Kashevnik A.M. Cooperative interaction of expert networks participants: state-of-the art analysis. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2017, vol. 17, no. 5, pp. 859–871 (in Russian). doi: 10.17586/2226-1494-2017-17-5-859-871
Abstract
Subject of Research. The paper presents an overview of research in the area of experts’ collaboration for solving given problems. The capabilities of expert networks for collective information consumption and the creation of new knowledge are studied. Distinctive characteristics of modern expert networks are identified. The expert network building principles, expert search algorithms and query routing algorithms are described. A comparative analysis of expert networks of various types is given: general, specialized, scientific and educational ones.Main features of networks and basic functions are distinguished. Based on the analysis results, the requirements for modern expert networks of scientific and technological orientation are formulated. Method. Description and comparative analysis of related systems and technologies are used to identify expert network requirements. Main Results. The main scenarios for the expert networks utilization by experts and customers are identified. Expert network requirements are formulated that provide the effective use of the system in accordance with the scenarios. Practical Relevance. Application of the research results will help to develop expert network for collective work and efficient interaction of experts and their customers, so that the system meets requirements of the modern systems for expert collective work.
Keywords: expert network, collective work, postcroudsourcing, experts, knowledge
Acknowledgements. The presented results are part of the research carried out within the project funded by grant #16-29-12866 of the Russian Foundation for Basic Research and by the State Research no. 0073-2014-0005. This work is also carried out with the financial support of leading universities of the Russian Federation, Grant 074-U01.
References
Acknowledgements. The presented results are part of the research carried out within the project funded by grant #16-29-12866 of the Russian Foundation for Basic Research and by the State Research no. 0073-2014-0005. This work is also carried out with the financial support of leading universities of the Russian Federation, Grant 074-U01.
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