Complex event processing methods for process querying

Aa, Han van der ; Artikis, Alexander ; Weidlich, Matthias

Additional URL:
Document Type: Working paper
Year of publication: 2019
Place of publication: Agia Paraskevi
Publishing house: NCSR Demokritos
Publication language: English
Institution: School of Business Informatics and Mathematics > Artificial Intelligence Methods (Juniorprofessur) (van der Aa 2020-)
Subject: 004 Computer science, internet
Abstract: Business Process Management targets the design, execution, and opti-mization of business operations. This includes techniques for process querying, i.e.,methods to filter and transform business process representations. Some of theserepresentations may assume the form of event data, with an event denoting an exe-cution of an activity as part of a specific instance of a process. In this chapter, weargue that models and methods developed in the general field of Complex EventProcessing (CEP) may be exploited for process querying. Specifically, if event data isgenerated continuously during process execution, CEP techniques may help to filterand transform process-related information by evaluating queries over event streams.Against this background, this chapter first outlines how CEP fits into common usecases and frameworks for process querying. We then review design choices of CEPmodels that are of importance when adopting the respective techniques. Finally, wediscuss techniques for the application of CEP for process querying, namely those forevent-process correlation, model-based query generation, automated discovery ofevent queries, and diagnostics for event query matches

Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation.

Metadata export


+ Search Authors in

+ Page Views

Hits per month over past year

Detailed information

You have found an error? Please let us know about your desired correction here: E-Mail

Actions (login required)

Show item Show item