Complex event processing methods for process querying


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



URL: http://cer.iit.demokritos.gr/publications/papers/2...
Additional URL: https://www.semanticscholar.org/paper/Complex-Even...
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 > Methoden der künstlichen Intelligenz (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.




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