Process event data is usually stored either in a sequential process event log or in a
relational database. While the sequential, single-dimensional nature of event logs aids …

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

Dear Reader, The idea of this book is due to the last decade of observations and academic
discussions at scientific conferences in the areas of business process management [2, 14] …

When it comes to data, the world has seen a tremendous change from the days back then
when data was neatly stored in well-organized, centrally managed, carefully monitored …

This paper provides an introduction to and discussion of SIGNAL, an industry-scale process
data querying language and engine for large-scale cloud-based systems that is developed …

A process is a collection of actions that were already, are currently being, or must be taken in
order to achieve a goal, where an action is an atomic unit of work, for instance, a business …

The process model repository has demonstrated unprecedented success in a variety of
industrial and process as a service scenarios. With the rapid increase of massive business …

Business process querying studies methods for automatically managing, eg, filtering and
manipulating, repositories of models that describe observed and/or envisioned business …

In the era of big data, one of the key challenges is to discover process models and gain
insights into business processes by analyzing event data recorded in information systems …

Process querying studies concepts and methods from fields like Big data, process modeling
and analysis, business process intelligence, and process analytics and applies them to …