About this paper

Appears in:
Pages: 1233-1243
Publication year: 2012
ISBN: 978-84-695-3491-5
ISSN: 2340-1117

Conference name: 4th International Conference on Education and New Learning Technologies
Dates: 2-4 July, 2012
Location: Barcelona, Spain

EXPERTISE SEARCH IN UNSTRUCTURED DATA IN ECM USING S-BPM APPROACH

A. Gromoff, J. Stavenko, N. Kazantsev, K. Evina

National Research University 'Higher School of Economics' (RUSSIAN FEDERATION)
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».
@InProceedings{GROMOFF2012EXP,
author = {Gromoff, A. and Stavenko, J. and Kazantsev, N. and Evina, K.},
title = {EXPERTISE SEARCH IN UNSTRUCTURED DATA IN ECM USING S-BPM APPROACH},
series = {4th International Conference on Education and New Learning Technologies},
booktitle = {EDULEARN12 Proceedings},
isbn = {978-84-695-3491-5},
issn = {2340-1117},
publisher = {IATED},
location = {Barcelona, Spain},
month = {2-4 July, 2012},
year = {2012},
pages = {1233-1243}}
TY - CONF
AU - A. Gromoff AU - J. Stavenko AU - N. Kazantsev AU - K. Evina
TI - EXPERTISE SEARCH IN UNSTRUCTURED DATA IN ECM USING S-BPM APPROACH
SN - 978-84-695-3491-5/2340-1117
PY - 2012
Y1 - 2-4 July, 2012
CI - Barcelona, Spain
JO - 4th International Conference on Education and New Learning Technologies
JA - EDULEARN12 Proceedings
SP - 1233
EP - 1243
ER -
A. Gromoff, J. Stavenko, N. Kazantsev, K. Evina (2012) EXPERTISE SEARCH IN UNSTRUCTURED DATA IN ECM USING S-BPM APPROACH, EDULEARN12 Proceedings, pp. 1233-1243.
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