Article

Generating natural language texts from business process models

Authors:

Henrik Leopold,

Artem PolyvyanyyAuthors Info & Claims

CAiSE'12: Proceedings of the 24th international conference on Advanced Information Systems Engineering

Pages 64 - 79

https://doi.org/10.1007/978-3-642-31095-9_5

Published: 25 June 2012 Publication History

Abstract

Process Modeling is a widely used concept for understanding, documenting and also redesigning the operations of organizations. The validation and usage of process models is however affected by the fact that only business analysts fully understand them in detail. This is in particular a problem because they are typically not domain experts. In this paper, we investigate in how far the concept of verbalization can be adapted from object-role modeling to process models. To this end, we define an approach which automatically transforms BPMN process models into natural language texts and combines different techniques from linguistics and graph decomposition in a flexible and accurate manner. The evaluation of the technique is based on a prototypical implementation and involves a test set of 53 BPMN process models showing that natural language texts can be generated in a reliable fashion.

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Cited By

Silva Rosa LSoares Silva TFantinato MHeloisa Thom L(2022)A visual approach for identification and annotation of business process elements in process descriptionsComputer Standards & Interfaces10.1016/j.csi.2021.10360181:COnline publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1016/j.csi.2021.103601
Fontenla-Seco YLama MBugarín A(2020)Process-To-Text: A Framework for the Quantitative Description of Processes in Natural LanguageTrustworthy AI - Integrating Learning, Optimization and Reasoning10.1007/978-3-030-73959-1_19(212-219)Online publication date: 4-Sep-2020
https://dl.acm.org/doi/10.1007/978-3-030-73959-1_19
Bazhenova EZerbato FOliboni BWeske M(2019)From BPMN process models to DMN decision modelsInformation Systems10.1016/j.is.2019.02.00183:C(69-88)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1016/j.is.2019.02.001
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Information & Contributors

Information

Published In

cover image Guide Proceedings

CAiSE'12: Proceedings of the 24th international conference on Advanced Information Systems Engineering

June 2012

702 pages

ISBN:9783642310942

Editors:
Jolita Ralyté
Institute of Services Science, University of Geneva, Route de Drize 7, Carouge, Switzerland
,
Xavier Franch
Department ESSI - UPC, Technical University of Catalonia, c/Jordi Girona 1-3,, Barcelona, Spain
,
Sjaak Brinkkemper
Department of Information and Computing Sciences, Utrecht University, c/Jordi Girona 1-3,, Utrecht, The Netherlands
,
Stanislaw Wrycza
Department of Business Informatics, Faculty of Management, University of Gdansk, ul. Piaskowa 9, Sopot, Poland

Sponsors

Univ. of Gdańsk: University of Gdańsk

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 25 June 2012

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Cited By

Silva Rosa LSoares Silva TFantinato MHeloisa Thom L(2022)A visual approach for identification and annotation of business process elements in process descriptionsComputer Standards & Interfaces10.1016/j.csi.2021.10360181:COnline publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1016/j.csi.2021.103601
Fontenla-Seco YLama MBugarín A(2020)Process-To-Text: A Framework for the Quantitative Description of Processes in Natural LanguageTrustworthy AI - Integrating Learning, Optimization and Reasoning10.1007/978-3-030-73959-1_19(212-219)Online publication date: 4-Sep-2020
https://dl.acm.org/doi/10.1007/978-3-030-73959-1_19
Bazhenova EZerbato FOliboni BWeske M(2019)From BPMN process models to DMN decision modelsInformation Systems10.1016/j.is.2019.02.00183:C(69-88)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1016/j.is.2019.02.001
Nikaj AWeske MMendling J(2019)Semi-automatic derivation of RESTful choreographies from business process choreographiesSoftware and Systems Modeling (SoSyM)10.1007/s10270-017-0653-218:2(1195-1208)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1007/s10270-017-0653-2
de Almeida Bordignon AThom LSilva TDani VFantinato MFerreira R(2018)Natural Language Processing in Business Process Identification and ModelingProceedings of the XIV Brazilian Symposium on Information Systems10.1145/3229345.3229373(1-8)Online publication date: 4-Jun-2018
https://dl.acm.org/doi/10.1145/3229345.3229373
Silva TThom LWeber Ade Oliveira JFantinato M(2018)Empirical Analysis of Sentence Templates and Ambiguity Issues for Business Process DescriptionsOn the Move to Meaningful Internet Systems. OTM 2018 Conferences10.1007/978-3-030-02610-3_16(279-297)Online publication date: 22-Oct-2018
https://dl.acm.org/doi/10.1007/978-3-030-02610-3_16
Figl KRecker J(2016)Process innovation as creative problem solvingInformation and Management10.1016/j.im.2016.02.00853:6(767-786)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1016/j.im.2016.02.008
Michael JAl Machot FMayr HMakedon FMariottini GKorn OMaglogiannis IMetsis V(2015)ADOxx based tool support for a behavior centered modeling approachProceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2769493.2769503(1-8)Online publication date: 1-Jul-2015
https://dl.acm.org/doi/10.1145/2769493.2769503

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