Abstract
Process discovery techniques have successfully been applied in a range of domains to automatically discover process models from event data. Unfortunately existing discovery techniques only discover a behavioral perspective of processes, where the data perspective is often as a second-class citizen. Besides, these discovery techniques fail to deal with object-centric data with many-to-many relationships. Therefore, in this paper, we aim to discover a novel modeling language which combines data models with declarative models, and the resulting object-centric behavioral constraint model is able to describe processes involving interacting instances and complex data dependencies. Moreover we propose an algorithm to discover such models.
Original language | English |
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Title of host publication | Business Information Systems |
Subtitle of host publication | 20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings |
Editors | W. Abramowicz |
Place of Publication | Dordrecht |
Publisher | Springer |
Pages | 43-58 |
Number of pages | 16 |
ISBN (Electronic) | 978-3-319-59336-4 |
ISBN (Print) | 978-3-319-59335-7 |
DOIs | |
Publication status | Published - 21 Jun 2017 |
Event | 20th International Conference on Business Information Systems, (BIS 2017), 28-30 June 2017, Poznan, Poland - Poznan, Poland Duration: 28 Jun 2017 → 30 Jun 2017 http://bis.ue.poznan.pl/bis2017/ http://bis.kie.ue.poznan.pl/bis2017/ |
Publication series
Name | Lecture Notes in Business Information Processing |
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Volume | 288 |
ISSN (Print) | 1865-1348 |
Conference
Conference | 20th International Conference on Business Information Systems, (BIS 2017), 28-30 June 2017, Poznan, Poland |
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Abbreviated title | BIS 2017 |
Country/Territory | Poland |
City | Poznan |
Period | 28/06/17 → 30/06/17 |
Internet address |
Keywords
- Cardinality constraints
- Object-centric modeling
- Process discovery
- Process mining