mlsanityData to 7 Oct 2026

Object-Centric Conformance Alignments with Synchronization (Extended Version)

arXiv 2312.08537 ↗First posted 13 Dec 2023cs.LO cs.AIcited by 0

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Abstract (arXiv)

Real-world processes operate on objects that are inter-dependent. To accurately reflect the nature of such processes, object-centric process mining techniques are needed, notably conformance checking. However, while the object-centric perspective has recently gained traction, few concrete process mining techniques have been presented so far. Moreover, existing approaches are severely limited in their abilities to keep track of object identity and object dependencies. Consequently, serious problems in logs remain undetected. In this paper, we present a new formalism that combines the key modelling features of two existing approaches, in particular the ability of object-centric Petri nets to capture one-to-many relations and the one of Petri nets with identifiers to compare and synchronize objects based on their identity. We call the resulting formalism 'object-centric Petri nets with identifiers', and define alignments and the conformance checking task for this setting. We propose a conformance checking approach for such nets based on an encoding in satisfiability modulo theories (SMT), and illustrate how it can be effectively used to overcome shortcomings of earlier work. To assess its practicality, we perform an evaluation on data from the literature.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 42 references that are in the map. First posted on arXiv 13 Dec 2023.

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6 of 42 references.

References · 6

  1. 2020Discovering Object-Centric Petri Netscited by 28
  2. 2020Petri Nets with Parameterised Data: Modelling and Verification (Extended Version)cited by 6
  3. 2022Conformance Checking with Uncertainty via SMT (Extended Version)cited by 4
  4. 2021An Event Data Extraction Approach from SAP ERP for Process Miningcited by 3
  5. 2023Object-Centric Alignmentscited by 2
  6. 2023Advancements and Challenges in Object-Centric Process Mining: A Systematic Literature Reviewcited by 1

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