Ontology-Driven Business Process Intelligence ◾ 425
to investigate and compare specic data subsets. e involvement of ontologies
enables BPI tools to understand more of the contexts around executed events.
Statistical analysis and data mining algorithms get a richer set of features to model
underlying data relationships, and process mining algorithms become capable of
extracting multiperspective models that may be drilled down to show dierent
perspectives and levels of detail.
For our example company, Wells Bank, these capabilities revealed process ows
between organizational units and services at all dened aggregation levels. Bank
users can form and analyze specic trace cluster-based relations to ontological con-
cept ...