Fusion of background knowledge and streams of events

  • Authors:

  • Kia Teymourian;Malte Rohde;Adrian Paschke

  • Affiliations:

  • Freie Universität Berlin, Berlin, Germany;Freie Universität Berlin, Berlin, Germany;Freie Universität Berlin, Berlin, Germany

  • Venue:
  • Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
  • Year:
  • 2012

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Abstract

Usage of background knowledge about events and their relations to other concepts in the application domain can improve the expressiveness and flexibility of complex event processing systems. Huge amounts of domain background knowledge stored in external knowledge bases can be used in combination with event processing in order to achieve more knowledgeable complex event processing. In this paper, we discuss the benefits of background knowledge for event processing and describe different categories of event query rules. We propose different event processing approaches used for the fusion of background knowledge with real-time event streams, like plan-based event processing or event query preprocessing. We have implemented some of the proposed event processing methods for the stock market monitoring domain by using available real-time stock events and background knowledge about joint-stock companies from the linked open data. Our experiments show that some of the approaches can improve the performance of event processing compared to more basic approaches.