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 …

Declarative approaches to business process modeling are regarded as well suited for highly
volatile environments, as they enable a high degree of flexibility. However, problems in …

In this paper, we discuss technologies and approaches based on Knowledge Graphs (KGs)
that enable the management of inline human interventions in AI-assisted manufacturing …

The research area of business process mining has vastly matured in recent years. Its main
focus centers around the extraction and analysis of process models from event logs. A …

Process discovery is the task of generating process models from event logs. Mining
processes that operate in an environment of high variability is an ongoing research …

In contrast to procedural process models, where every valid execution trace is explicitly
modeled, declarative process models (DPMs) implicitly define allowed company behavior …

Flexible systems and services require a solid approach for modeling and enacting dynamic
behavior. Declarative process models gained plenty of traction lately as they have proven to …

Research investigating cognitive aspects of information systems is often dependent on detail–
rich data. Eye–trackers promise to provide respective data, but the associated costs are …

The discovery of declarative process models by mining event logs aims to represent flexible
or unstructured processes, making them visible to business and improving their …

This paper reports on a qualitative study of the use of declarative process notations used in
a commercial setting. Specifically, we investigate the actual use of a system implemented in …