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@MASTERSTHESIS{Kuhlmann:1025217,
      author       = {Kuhlmann, Ole},
      othercontributors = {van der Aalst, Wil M. P. and Decker, Stefan Josef and Liß,
                          Lukas},
      title        = {{A} transformation between object-centric causal nets and
                      object-centric {P}etri nets},
      school       = {RWTH Aachen University},
      type         = {Bachelorarbeit},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2026-00605},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2026},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University; Bachelorarbeit, RWTH Aachen University, 2025},
      abstract     = {Process mining analyzes event data to improve real-world
                      processes. The use of various process models, each with
                      distinct representational biases, necessitates
                      transformations between them to leverage unique strengths
                      and tool support. The emerging field of object-centric
                      process mining predominantly lacks such methods. This thesis
                      addresses this gap by proposing bidirectional
                      transformations between object-centric causal nets, a newly
                      proposed formalism, and object-centric Petri nets, a
                      well-established process model. This work contributes formal
                      definitions of the transformations, formal proofs of their
                      correctness, a publicly available implementation, a
                      qualitative evaluation, and play-out and replay procedures
                      for both process models. An object-centric Petri net is
                      transformed into a behaviorally equivalent object-centric
                      causal net. Conversely, an object-centric causal net is
                      transformed into an object-centric Petri net that underfits
                      the initial net. Our qualitative evaluation shows that the
                      degree of underfitting is directly related to the structure
                      of the initial object-centric causal net, particularly the
                      number of activities having markers allowed to consume a
                      variable amount of obligations.},
      cin          = {122510 / 120000},
      ddc          = {004},
      cid          = {$I:(DE-82)122510_20140620$ / $I:(DE-82)120000_20140620$},
      typ          = {PUB:(DE-HGF)2},
      doi          = {10.18154/RWTH-2026-00605},
      url          = {https://publications.rwth-aachen.de/record/1025217},
}