Expertise Search in unstructured data in ECM using S-BPM approach

P. 94–105.

Gromoff A., Bilinkis J., Kazantsev N.

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 modelling for creating and automation of innovative process and therefore for maximization of ROI (return on investments) in intellectual and social capital of enterprises.

Described approach delivers opportunities for unstructured information utilization in order to increase efficiency of innovation activity in organizations. As a result, virtual community with a multiple content centers is created presenting a prototype of intellectual neural network with distributed association nodes.

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 this process in general.

Keywords: социальные сети, инновации, технологии, innovation, управление знаниями, knowledge management, technology, research projects, information entropy, social system, enterprise content, ECM, self-organizing system, open system, knowledge workers, unstructured information, S-BPM, communication network, научно-исследовательские проекты, информационная энтропия, социальная система, анализ контента, ECM, самоорганизующаяся система, открытая система, работники умственного труда, неструктурированная информация, BPM, S-BPM

In book

Proceedings of Modeling, Simulation, verification and validation of enterprise information systems and web intelligence

Wrocław: ICEIS, 2012.