Discovering Cross-Perspective Semantic Definitions From Process Execution Logs
In this paper, the authors suggest a two-phase declarative process mining approach discovering explicit, cross-perspective semantic definitions. Cross-perspective semantic definitions are interesting and important for the analysis of business processes, because they reveal dependencies that are not obvious on the first look. They allow for a comprehensive examination of the recorded process execution information and enable the discovery of coherency between different process-involved entities and perspectives. Using the described cross-perspective semantic definitions, they additionally introduce an approach for simplifying less-structured process models.