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doi:10.22028/D291-33405
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: | https://link.springer.com/chapter/10.1007/978-3-319-59144-5_2 |
Link to this record: | hdl:20.500.11880/30728 http://dx.doi.org/10.22028/D291-33405 |
ISBN: | 978-3-319-59144-5 978-3-319-59143-8 |
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 |
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