Abstract:

This article describes the application of currently most promising methods of (1) network (graph) theory, (2) content analysis and (3) subject-oriented approach to business process modeling for creating and automation of innovative process and therefore for maximization of ROI (return on investments) in universities intellectual and social capital.
Described approach delivers opportunities for unstructured information utilization in order to increase efficiency of innovation education activity for both separate science workers and the university as a whole. As a result, virtual community with a multiple content centres is created presenting a prototype of intellectual neural network with distributed association nodes. These nodes are formed during non-standard educational process similar to brainstorming, where participants have quite different knowledge levels and limitation due to ‘traditional thinking’, for example, classical seminar in auditorium in parallel with webinar.
In a course of development, instant full-text indexation takes place and taxonomic picture of different branches for such community is formed. In due course system gathers the statistics and builds-up maps of intercommunication with priority allocation of most discussed topics. A group of predetermined experts begins discussion on development prospects of this or that subject afterwards. The strategic map of investments into innovative development that can be offered to group of investors for competitive investments eventually turns out. In this process all steps except final (gathering of experts) are human non-dependant, what increase efficiency of the process in general.
The given research was held in a frame of the contract № 13.G25.31.0096 with the Ministry for Education and Science of Russian Federation «Creation of hi-tech manufacture of unstructured information processing in cross-platform system on the open-source software basis in order to increase management efficiency of innovative activity of enterprises in modern Russia».

Keywords:

Innovation, technology, research projects, information entropy, social system, knowledge management, enterprise content, ECM, self-organizing system.