Processes often generate event data with not only a single case notion. OCπ helps in discovering process models, i.e., object-centric Petri nets, exploring variants of process executions and their respective frequency and filtering out infrequent variants and activities.
Installation instructions: Install GraphViz. Unpack the zip-file and run ocpi.exe.
The jsonocel-version of the employed event log can be downloaded here.
About
OCπ is being developed at the Chair for Process and Data Science at RWTH Aachen University.
Jan Niklas Adams
Researcher and PhD Student, Process and Data Science, RWTH Aachen
Wil van der Aalst
Professor, Chair of Process and Data Science, RWTH Aachen
Publications
OCπ is a tool grounded in research. Below you can find research papers that describe the tool itself & algorithms and concepts behind the tool.
Defining Cases and Variants for Object-Centric Event Data
Published at ICPM 2022
OCπ: Object-Centric Process Insights
Published at Petri Nets 2022
Discovering Object-Centric Petri Nets
Fundamenta informaticae, 2020
Please do not hesitate to contact us info@ocpi.ai.