Abstract | ||
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Complex event processing emerged as a technology that promises tight integration of business process management with the flow of products in a supply chain. As part of that, complex event querying is used to monitor and analyse streams of events. The amount of data that needs to be processed along with the distribution of the event-emitting sources impose serious challenges for efficient event querying mechanisms. In this paper, we assume that the business process to which the events relate is defined in terms of a normative process model. Based thereon, we show how this knowledge can be leveraged to optimise complex event; queries and their processing. To this end, we use the formal concept of behavioural profiles as a behavioural abstraction of the process model. |
Year | DOI | Venue |
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2010 | 10.1007/978-3-642-20511-8_67 | Lecture Notes in Business Information Processing |
Keywords | Field | DocType |
Complex Event Processing,Query Optimization | Artifact-centric business process model,Business process management,Business process,Computer science,Process modeling,Complex event processing,Business process modeling,Business process discovery,Process mining,Process management | Conference |
Volume | ISSN | Citations |
66 | 1865-1348 | 7 |
PageRank | References | Authors |
0.47 | 15 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Matthias Weidlich | 1 | 1409 | 89.37 |
Holger Ziekow | 2 | 150 | 18.30 |
Jan Mendling | 3 | 4250 | 245.37 |