Please use this identifier to cite or link to this item: doi:10.22028/D291-33405
Volltext verfügbar? / Dokumentlieferung
Title: Extracting Business Objects and Activities from Labels of German Process Models
Author(s): Hake, Philip
Fettke, Peter
Neumann, Günter
Loos, Peter
Editor(s): Mädche, Alexander
Vom Brocke, Jan
Hevner, Alan
Language: English
Title: Designing the digital transformation : 12th International Conference, DESRIST 2017, Karlsruhe, Germany, May 30 - June 1, 2017 : proceedings
Startpage: 21
Endpage: 38
Publisher/Platform: Springer
Year of Publication: 2017
Place of publication: Cham
Title of the Conference: DESRIST 2017
Place of the conference: Karlsruhe, Germany
Publikation type: Conference Paper
Abstract: To automatically analyze and compare elements of process models, investigating the natural language contained in the labels of the process models is inevitable. Therefore, the adaption of well-established techniques from the field of natural language processing to Business Process Management has recently experienced a growth. Our work contributes to the field of natural language processing in business process models by providing a word dependency-based technique for the extraction of business objects and activities from German labeled process models. Furthermore, we evaluate our approach by implementing it in the RefMod-Miner toolset and measuring the quality of the information extraction in business process models. In three different evaluation scenarios, we show the strengths of the dependency-based approach and give an outlook on how further research could benefit from the approach.
DOI of the first publication: 10.1007/978-3-319-59144-5_2
URL of the first publication:
Link to this record: hdl:20.500.11880/30728
ISBN: 978-3-319-59144-5
Date of registration: 24-Feb-2021
Notes: Lecture notes in computer science ; 10243
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Wirtschaftswissenschaft
Professorship: HW - Prof. Dr. Peter Loos
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Files for this record:
There are no files associated with this item.

Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.