Stories about Object-Centric Process Mining
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A Framework for Object-Centric Predictive Monitoring of Collaborative Processes
AI InsightThis paper shifts predictive monitoring of collaborative processes from a single-case perspective to an object-centric representation, formally mapping extended event logs to an OCED-conformant object-centric structure. Unlike existing approaches that enrich logs while retaining a single-case view, this framework explicitly models multi-entity relations such as participants and messages, making structural information explicit and enabling multi-case predictive modeling.Key TakeawayUnlike traditional PPM's single-case view, this framework adopts object-centric representation to explicitly model multi-entity relations.Why It MattersCross-organizational process prediction has long been limited by single-case views; this framework introduces OCPM to collaborative PPM, potentially shifting the modeling paradigm.Who's Affected- AI ResearchersGain a new modeling path for collaborative process prediction and can explore algorithms under object-centric representations.
- EnterprisesMay enable monitoring and prediction of inter-organizational processes, improving collaboration efficiency and risk detection.
- DevelopersNeed to track integration of OCED mapping tools with process mining platforms for practical deployment.
What's NextWatch for empirical evaluation on real cross-organizational datasets and whether OCED mapping drives standardization of process prediction.Importance 64/100