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2018 | OriginalPaper | Chapter

A Concept for Generating Business Process Models from Natural Language Description

Authors : Krzysztof Honkisz, Krzysztof Kluza, Piotr Wiśniewski

Published in: Knowledge Science, Engineering and Management

Publisher: Springer International Publishing

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Abstract

Manual extraction of business process models from technical documentation is a time-consuming task. Several approaches to generating such process models have been proposed. We present a proposal of a new method for extracting business process from natural language text through intermediate process model using the spreadsheet-based representation. Such intermediate model is transformed into a valid BPMN process model. Our method is enhanced with semantic analysis of the text, allows for quick check of the transformation result and manual correction during this process. As the obtained BPMN model is structured, it is easier to check its correctness.

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previous chapter Neural Sentiment Classification with Social Feedback Signals

next chapter A Study on Performance Sensitivity to Data Sparsity for Automated Essay Scoring

For the sake of clarity, we focus on the four main properties of this representation.

See: https://github.com/KrzyHonk/bpmn-python.

See: https://bpmai.org/BPMAcademicInitiative/CreateProcessModels.

OMG: Business Process Model and Notation (BPMN) Version 2.0. Technical report, Object Management Group (OMG) (2011)

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Title: A Concept for Generating Business Process Models from Natural Language Description
Authors: Krzysztof Honkisz
Krzysztof Kluza
Piotr Wiśniewski
Publisher: Springer International Publishing
Book: Knowledge Science, Engineering and Management
Print ISBN: 978-3-319-99364-5

Electronic ISBN: 978-3-319-99365-2

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-99365-2_8

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