Methods for Collective Intelligence Utilization in Distributed Knowledge System
AbstractThe aim of this paper is to present requirements and perform the analysis of methods for grouping social networking system users based on their digital artifacts in the field of R&D by analyzing e-portfolios with knowledge discovery algorithms. In this paper we present the system architecture to collect and maintain conference presentation recordings, papers and other research activity indicators in user`s personal e-portfolio. Distributed learning environment is used for digital e-portfolio artifact gathering, it consists of open source learning tools for conferences organization, virtual video presentations and e-journal systems. Analysis of the methods is carried out, which utilize collective intelligence and enable recommendation services to support scientists’ collaboration by bringing them together, revealing intersected fields of interests for joint research empowerment, recommending conference presentations, publications, participation in joint projects. Systems architecture is proposed together with supplementary tools, that are provided to sustain science community`s cooperation in discussion groups, virtual meetings and joint publications.
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