Generating natural language texts from business process models

Leopold, Henrik, Mendling, Jan, & Polyvyanyy, Artem (2012) Generating natural language texts from business process models. In Ralyté, Jolita, Franch, Xavier, Brinkkemper, Sjaak, & Wrycza, Stanislaw (Eds.) Lecture Notes in Computer Science : Advanced Information Systems Engineering, Springer Berlin Heidelberg, Gdańsk, Poland, pp. 64-79.

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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.

Impact and interest:

9 citations in Scopus
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ID Code: 70603
Item Type: Conference Paper
Refereed: Yes
Additional Information: 24th International Conference, CAiSE 2012, Gdansk, Poland, June 25-29, 2012. Proceedings
Additional URLs:
Keywords: Natural Language Generation, Verbalization, Business Process Models
DOI: 10.1007/978-3-642-31095-9_5
ISBN: 9783642310942
ISSN: 0302-9743
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Natural Language Processing (080107)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 Springer-Verlag Berlin Heidelberg
Deposited On: 28 Apr 2014 23:40
Last Modified: 29 Jul 2014 01:04

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