Semantic Event Correlation Using Ontologies

  • Authors:

  • Thomas Moser;Heinz Roth;Szabolcs Rozsnyai;Richard Mordinyi;Stefan Biffl

  • Affiliations:

  • Complex Systems Design & Engineering Lab, Vienna University of Technology,;Secure Business Austria, Vienna A-1040;UC4 SENACTIVE Software GmbH, Wolfsgraben A-3012;Complex Systems Design & Engineering Lab, Vienna University of Technology,;Complex Systems Design & Engineering Lab, Vienna University of Technology,

  • Venue:
  • OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II
  • Year:
  • 2009

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Abstract

Complex event processing (CEP) is a software architecture paradigm that aims at low latency, high throughput, and quick adaptability of applications for supporting and improving event-driven business processes. Events sensed in real time are the basic information units on which CEP applications operate and react in self-contained decision cycles based on defined processing logic and rules. Event correlation is necessary to relate events gathered from various sources for detecting patterns and situations of interest in the business context. Unfortunately, event correlation has been limited to syntactically identical attribute values instead of addressing semantically equivalent attribute meanings. Semantic equivalence is particularly relevant if events come from organizations that use different terminologies for common concepts. In this paper, we introduce an approach that uses semantic technologies, in our case ontologies, for the definition of event correlations to facilitate semantic event correlation derived from semantic equivalence, inherited meaning, and relationships between different terms or entities. We evaluate the practical application of three types of semantic correlation based on use cases that are relevant to the real-world domain of industrial production automation. Major results of the evaluation show that semantic correlation enables functions for CEP that traditional syntactic correlation does not allow at all.