Automatic discovery of object-centric behavioral constraint models

G. Li; R.M. de Carvalho; W.M.P. van der Aalst

doi:10.1007/978-3-319-59336-4_4

Automatic discovery of object-centric behavioral constraint models

G. Li, R.M. de Carvalho, W.M.P. van der Aalst

Process Analytics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

36 Citations (Scopus)

4 Downloads (Pure)

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
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	https://doi.org/10.1007/978-3-319-59336-4_4
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
Volume	288
ISSN (Print)	1865-1348

Conference

Conference	20th International Conference on Business Information Systems, (BIS 2017), 28-30 June 2017, Poznan, Poland
Abbreviated title	BIS 2017
Country/Territory	Poland
City	Poznan
Period	28/06/17 → 30/06/17
Internet address	http://bis.ue.poznan.pl/bis2017/ http://bis.kie.ue.poznan.pl/bis2017/

Keywords

Cardinality constraints
Object-centric modeling
Process discovery
Process mining

Access to Document

10.1007/978-3-319-59336-4_4

Cite this

Li, G., de Carvalho, R. M., & van der Aalst, W. M. P. (2017). Automatic discovery of object-centric behavioral constraint models. In W. Abramowicz (Ed.), Business Information Systems: 20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings (pp. 43-58). (Lecture Notes in Business Information Processing; Vol. 288). Springer. https://doi.org/10.1007/978-3-319-59336-4_4

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note = "20th International Conference on Business Information Systems, (BIS 2017), 28-30 June 2017, Poznan, Poland, BIS 2017 ; Conference date: 28-06-2017 Through 30-06-2017",

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Li, G, de Carvalho, RM & van der Aalst, WMP 2017, Automatic discovery of object-centric behavioral constraint models. in W Abramowicz (ed.), Business Information Systems: 20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings. Lecture Notes in Business Information Processing, vol. 288, Springer, Dordrecht, pp. 43-58, 20th International Conference on Business Information Systems, (BIS 2017), 28-30 June 2017, Poznan, Poland, Poznan, Poland, 28/06/17. https://doi.org/10.1007/978-3-319-59336-4_4

Automatic discovery of object-centric behavioral constraint models. / Li, G.; de Carvalho, R.M.; van der Aalst, W.M.P.
Business Information Systems: 20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings. ed. / W. Abramowicz. Dordrecht: Springer, 2017. p. 43-58 (Lecture Notes in Business Information Processing; Vol. 288).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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.

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Li G, de Carvalho RM, van der Aalst WMP. Automatic discovery of object-centric behavioral constraint models. In Abramowicz W, editor, Business Information Systems: 20th International Conference, BIS 2017, Poznan, Poland, June 28–30, 2017, Proceedings. Dordrecht: Springer. 2017. p. 43-58. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-319-59336-4_4

Automatic discovery of object-centric behavioral constraint models

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