Complex Event Processing for Event-Based Process Querying

Process querying targets the filtering and transformation of business process representations, such as event data recorded by information systems. This paper argues for the application of models and methods developed in the general field of Complex Event Processing (CEP) for process querying. Specifically, if event data is generated continuously during process execution, CEP techniques may help to filter and transform process-related information by evaluating queries over event streams. This paper motivates the use of such event-based process querying, and discuss common challenges and techniques for the application of CEP for process querying. In particular, focusing on event-activity correlation, automated query derivation, and diagnostics for query matches.