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Natural Language Generation for Declarative Process Models

Title data

Ackermann, Lars ; Schönig, Stefan ; Zeising, Michael ; Jablonski, Stefan:
Natural Language Generation for Declarative Process Models.
In: Barijs, Joseph ; Pergl, Robert ; Babkin, Eduard (ed.): Enterprise and Organizational Modeling and Simulation : 11th International Workshop, EOMAS 2015, Held at CAiSE 2015, Stockholm, Sweden, June 8-9, 2015, Selected Papers. - Cham, Switzerland : Springer , 2015 . - pp. 3-19 . - Online-Ressource, X, 233 S. . - (Lecture Notes in Business Information Processing ; 231 )
ISBN 978-3-319-24626-0
DOI: https://doi.org/10.1007/978-3-319-24626-0_1

Official URL: Volltext

Abstract in another language

Two different types of processes can be distinguished: well-structured routine processes and agile processes where the control-flow cannot be predefined a priori. In a similar way, two modeling paradigms exist whereby procedural models are more adequate for routine processes and declarative models are more suitable for agile processes. Often business analysts are not confident in understanding process models; this holds even more for declarative process models. Natural language support for this kind of processes in order to improve their readability is desirable. In the work at hand we define a technique that transforms declarative models to intuitive natural language texts. Hereof, the app-roach focuses on content determination and structuring the output texts.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Declarative process models; Natural language generation; Model transformation; Process model validation
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV > Chair Applied Computer Science IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 17 Oct 2017 09:27
Last Modified: 17 Oct 2017 09:27
URI: https://eref.uni-bayreuth.de/id/eprint/34099