OC-PM: analyzing object-centric event logs and process models
Object-centric process mining is a novel branch of process mining that aims to analyze event data from mainstream information systems (such as SAP) more naturally, without being forced to form mutually exclusive groups of events with the specification of a case notion. The development of object-cent...
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| Published in: | International journal on software tools for technology transfer Vol. 25; no. 1; pp. 1 - 17 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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Berlin/Heidelberg
Springer Berlin Heidelberg
01.02.2023
Springer Nature B.V |
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| ISSN: | 1433-2779, 1433-2787 |
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| Abstract | Object-centric process mining is a novel branch of process mining that aims to analyze event data from mainstream information systems (such as SAP) more naturally, without being forced to form mutually exclusive groups of events with the specification of a case notion. The development of object-centric process mining is related to exploiting object-centric event logs, which includes exploring and filtering the behavior contained in the logs and constructing process models which can encode the behavior of different classes of objects and their interactions (which can be discovered from object-centric event logs). This paper aims to provide a broad look at the exploration and processing of object-centric event logs to discover information related to the lifecycle of the different objects composing the event log. Also, comprehensive tool support (OC-PM) implementing the proposed techniques is described in the paper. |
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| AbstractList | Object-centric process mining is a novel branch of process mining that aims to analyze event data from mainstream information systems (such as SAP) more naturally, without being forced to form mutually exclusive groups of events with the specification of a case notion. The development of object-centric process mining is related to exploiting object-centric event logs, which includes exploring and filtering the behavior contained in the logs and constructing process models which can encode the behavior of different classes of objects and their interactions (which can be discovered from object-centric event logs). This paper aims to provide a broad look at the exploration and processing of object-centric event logs to discover information related to the lifecycle of the different objects composing the event log. Also, comprehensive tool support (OC-PM) implementing the proposed techniques is described in the paper. |
| Author | van der Aalst, Wil M. P. Berti, Alessandro |
| Author_xml | – sequence: 1 givenname: Alessandro surname: Berti fullname: Berti, Alessandro email: a.berti@pads.rwth-aachen.de organization: Process and Data Science Group, RWTH Aachen University – sequence: 2 givenname: Wil M. P. surname: van der Aalst fullname: van der Aalst, Wil M. P. organization: Process and Data Science Group, RWTH Aachen University |
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