Expertise Search in Unstructured Data in ECM using S-BPM Approach

Alexander Gromoff, Julia Stavenko, Kristina Evina, Nikolay Kazantsev

2012

Abstract

This article describes the application of currently most promising methods of graph theory, 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. 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.

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Paper Citation


in Harvard Style

Gromoff A., Stavenko J., Evina K. and Kazantsev N. (2012). Expertise Search in Unstructured Data in ECM using S-BPM Approach . In Proceedings of the 10th International Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems and 1st International Workshop on Web Intelligence - Volume 1: WEBI, (ICEIS 2012) ISBN 978-989-8565-14-3, pages 94-105. DOI: 10.5220/0004104800940105


in Bibtex Style

@conference{webi12,
author={Alexander Gromoff and Julia Stavenko and Kristina Evina and Nikolay Kazantsev},
title={Expertise Search in Unstructured Data in ECM using S-BPM Approach},
booktitle={Proceedings of the 10th International Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems and 1st International Workshop on Web Intelligence - Volume 1: WEBI, (ICEIS 2012)},
year={2012},
pages={94-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004104800940105},
isbn={978-989-8565-14-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems and 1st International Workshop on Web Intelligence - Volume 1: WEBI, (ICEIS 2012)
TI - Expertise Search in Unstructured Data in ECM using S-BPM Approach
SN - 978-989-8565-14-3
AU - Gromoff A.
AU - Stavenko J.
AU - Evina K.
AU - Kazantsev N.
PY - 2012
SP - 94
EP - 105
DO - 10.5220/0004104800940105