In this paper, we present the virtual knowledge graph (VKG) paradigm for data integration
and access, also known in the literature as Ontology-based Data Access. Instead of …

Process mining provides a rich set of techniques to discover valuable knowledge of
business processes based on data that was recorded in different types of information …

Classical process mining relies on the notion of a unique case identifier, which is used to
partition event data into independent sequences of events. In this chapter, we study the …

Process mining, as with any form of data analysis, relies heavily on the quality of input data
to generate accurate and reliable results. A fit-for-purpose event log nearly always requires …

Process event data is a fundamental building block for process mining as event logs portray
the execution trails of business processes from which knowledge and insights can be …

Process mining helps organizations to investigate how their operational processes are
executed and how these can be improved. Process mining requires event logs extracted …

The integration of business process management with blockchains across organisational
borders provides a means to establish transparency of execution and auditing capabilities …

Enterprise knowledge graphs are increasingly adopted in industrial settings to integrate
heterogeneous systems and data landscapes. Manufacturing systems can benefit from …

Process mining techniques use event logs as input. When analyzing complex databases,
these event logs can be built in many ways. Events need to be grouped into traces …

Before the findings of a process mining project can be turned into actionable insights or
recommendations, it is essential to make sure that the findings are actually valid. Therefore …