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St. Petersburg Polytechnical University Journal. Computer Science. Telecommunication and Control Systems, 2015, Issue 5(229), Pages 69–78
DOI: https://doi.org/10.5862/JCSTCS.229.7
(Mi ntitu127)
 

Intellectual Systems and Technologies

Extraction of business process models from texts

K. V. Sokolova, D. A. Timofeevb, A. V. Samochadinb

a Saint Petersburg State University
b Peter the Great Saint-Petersburg Polytechnic University
Abstract: Formal models of business processes are necessary for process analysis and for developing process-oriented services. Process modeling is a time-consuming task which should be performed by an expert. A large part of the expert's work consists of gathering information about the process. In most cases, process descriptions already exist in textual form. The automated method of extracting process models from texts is required to put this knowledge into use. In this paper we develop a process extraction method for texts like records, reports, or user stories. The main feature of the proposed method is the application of process mining techniques to text analysis.
Keywords: business process, process extraction, process mining, semantic analysis, natural language processing.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation 02.G25.31.0024
Document Type: Article
UDC: 004
Language: Russian
Citation: K. V. Sokolov, D. A. Timofeev, A. V. Samochadin, “Extraction of business process models from texts”, St. Petersburg Polytechnical University Journal. Computer Science. Telecommunication and Control Sys, 2015, no. 5(229), 69–78
Citation in format AMSBIB
\Bibitem{SokTimSam15}
\by K.~V.~Sokolov, D.~A.~Timofeev, A.~V.~Samochadin
\paper Extraction of business process models from texts
\jour St. Petersburg Polytechnical University Journal. Computer Science. Telecommunication and Control Sys
\yr 2015
\issue 5(229)
\pages 69--78
\mathnet{http://mi.mathnet.ru/ntitu127}
\crossref{https://doi.org/10.5862/JCSTCS.229.7}
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