Plan-Based Semantic Enrichment of Event Streams

  • Kia Teymourian
  • Adrian Paschke
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8465)

Abstract

Background knowledge about the application domain can be used in event processing in order to improve processing quality. The idea of semantic enrichment is to incorporate background knowledge into events, thereby generating enriched events which, in the next processing step, can be better understood by event processing engines. In this paper, we present an efficient technique for event stream enrichment by planning multi-step event enrichment and processing. Our optimization goal is to minimize event enrichment costs while meeting application-specific service expectations. The event enrichment is optimized to avoid unnecessary event stream enrichment without missing any complex events of interest. Our experimental results shows that by using this approach it is possible to reduce the knowledge acquisition costs.

Keywords

#eswc2014Teymourian 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Akdere, M., Çetintemel, U., Tatbul, N.: Plan-based complex event detection across distributed sources. Proc. VLDB Endow. 1, 66–77 (2008)CrossRefGoogle Scholar
  2. 2.
    Anicic, D., Fodor, P., Rudolph, S., Stühmer, R., Stojanovic, N., Studer, R.: ETALIS: Rule-Based Reasoning in Event Processing. In: Helmer, S., Poulovassilis, A., Xhafa, F. (eds.) Reasoning in Event-Based Distributed Systems. SCI, vol. 347, pp. 99–124. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  3. 3.
    Barbieri, D.F., Braga, D., Ceri, S., Grossniklaus, M.: An execution environment for c-sparql queries. In: Proceedings of the 13th International Conference on Extending Database Technology, EDBT 2010, pp. 441–452. ACM, New York (2010)Google Scholar
  4. 4.
    Bolles, A., Grawunder, M., Jacobi, J.: Streaming SPARQL extending SPARQL to process data streams. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 448–462. Springer, Heidelberg (2008)Google Scholar
  5. 5.
    Bry, F., Paschke, A., Eugster, P.T., Fetzer, C., Behrend, A. (eds.): Proceedings of the Sixth ACM International Conference on Distributed Event-Based Systems, DEBS 2012, Berlin, Germany, July 16-20. ACM (2012)Google Scholar
  6. 6.
    Margara, A., Cugola, G.: Processing flows of information: from data stream to complex event processing. In: Proceedings of the 5th ACM International Conference on Distributed Event-Based System, DEBS 2011, pp. 359–360. ACM, New York (2011)Google Scholar
  7. 7.
    Paschke, A., Vincent, P., Alves, A., Moxey, C.: Tutorial on advanced design patterns in event processing. In: Bry, et al. (eds.) [5], pp. 324–334.Google Scholar
  8. 8.
    Pietzuch, P.R., Shand, B., Bacon, J.: A framework for event composition in distributed systems. In: Endler, M., Schmidt, D.C. (eds.) Middleware 2003. LNCS, vol. 2672, pp. 62–82. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  9. 9.
    Schultz-Møller, N.P., Migliavacca, M., Pietzuch, P.: Distributed complex event processing with query rewriting. In: Proceedings of the Third ACM International Conference on Distributed Event-Based Systems, DEBS 2009, pp. 4:1–4:12. ACM, New York (2009)Google Scholar
  10. 10.
    Serrano, M., Le-Phuoc, D., Zaremba, M., Galis, A., Bhiri, S., Hauswirth, M.: Resource optimisation in iot cloud systems by using matchmaking and self-management principles. In: Galis, A., Gavras, A. (eds.) FIA 2013. LNCS, vol. 7858, pp. 127–140. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  11. 11.
    Teymourian, K., Paschke, A.: Semantic rule-based complex event processing. In: Governatori, G., Hall, J., Paschke, A. (eds.) RuleML 2009. LNCS, vol. 5858, pp. 82–92. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  12. 12.
    Teymourian, K., Rohde, M., Paschke, A.: Fusion of background knowledge and streams of events. In: Bry, et al. (eds.) [5], pp. 302–313.Google Scholar
  13. 13.
    Walavalkar, O., Joshi, A., Finin, T., Yesha, Y.: Streaming Knowledge Bases. In: Proceedings of the Fourth International Workshop on Scalable Semantic Web knowledge Base Systems (October 2008)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Kia Teymourian
    • 1
  • Adrian Paschke
    • 1
  1. 1.Institute for Computer Science, AG Corporate Semantic WebFreie Universität BerlinBerlinGermany

Personalised recommendations