Breaking Down Barriers with Knowledge Graphs: Data Integration for Cross-Organizational Process Mining

Cross-organizational process mining (coPM) with data from at least two organizations assists cooperating organizations in optimizing their operations by enabling an in-depth and continuous process analysis. As coPM faces unique challenges and is rarely applied, we followed a design science-based approach and developed a three-step extension to the PM project methodology to integrate data across organizational boundaries. Each organization first creates a local event data knowledge graph (KG). Second, a trusted third party integrates all local KGs into a global KG. Third, a federated event log and process knowledge are retrieved for coPM analysis. Overall, we present the first version of a methodology to support data integration for coPM, thereby assisting researchers and practitioners in unlocking value potentials from coPM analysis.