@inproceedings{f8989914e30444cda7bd91bd43afa08c,
title = "Breaking Down Barriers with Knowledge Graphs: Data Integration for Cross-Organizational Process Mining",
abstract = "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.",
keywords = "Cross-organizational process mining, Data integration, Knowledge graphs, Methodology",
author = "Julian Rott and Rene Dorsch and Michael Freund and Markus B{\"o}hm and Andreas Harth and Helmut Krcmar",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; International workshops which were held in conjunction with 5th International Conference on Process Mining, ICPM 2023 ; Conference date: 23-10-2023 Through 27-10-2023",
year = "2024",
doi = "10.1007/978-3-031-56107-8_38",
language = "English",
isbn = "9783031561061",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "499--512",
editor = "{De Smedt}, Johannes and Pnina Soffer",
booktitle = "Process Mining Workshops - ICPM 2023 International Workshops, 2023, Revised Selected Papers",
}