Engineering of knowledge-intensive processes (KiPs) is far from being mastered, since they
are genuinely knowledge-and data-centric, and require substantial flexibility, at both design …

In recent years, monitoring the compliance of business processes with relevant regulations,
constraints, and rules during runtime has evolved as major concern in literature and …

Process mining is a family of techniques that aim at analyzing business process execution
data recorded in event logs. Conformance checking is a branch of this discipline embracing …

Clinical guidelines aim at improving the quality of care processes through evidence-based
insights. However, there may be good reasons to deviate from such guidelines or the …

Today, large business processes are composed of smaller, autonomous, interconnected
subsystems, achieving modularity and robustness. Quite often, these large processes …

Process discovery is one of the main branches of process mining that allows the user to
build a process model representing the process behavior as recorded in the logs. Standard …

While the business process management community has concentrated on modelling and
executing business processes with a known structure, support for processes with a high …

One major task in business process management is that of aligning real process execution
traces to a process model by (minimally) introducing and eliminating steps. Here, we look at …

A fundamental challenge for enterprises is to ensure compliance of their business processes
with imposed compliance rules stemming from various sources, eg, corporate guidelines …

So far, approaches for business process modeling, enactment and monitoring have mainly
been based on process specifications consisting of a single process model. This setting …