Advertisement

Supporting Real-Time Monitoring in Criminal Investigations

  • Robin KeskisärkkäEmail author
  • Eva Blomqvist
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9341)

Abstract

Being able to analyze information collected from streams of data, generated by different types of sensors, is becoming increasingly important in many domains. This paper presents an approach for creating a decoupled semantically enabled event processing system, which leverages existing Semantic Web technologies. By implementing the actor model, we show how we can create flexible and robust event processing systems, which can leverage different technologies in the same general workflow. We argue that in this context RSP systems can be viewed as generic systems for creating semantically enabled event processing agents. In the demonstration scenario we show how real-time monitoring can be used to support criminal intelligence analysis, and describe how the actor model can be leveraged further to support scalability.

Keywords

Semantic event processing Event processing RDF stream processing Actor model Criminal intelligence 

Notes

Acknowledgments

This work was supported by the EU FP7 project Visual Analytics for Sense-making in Criminal Intelligence Analysis (VALCRI) under grant number FP7-SEC-2013-608142.

References

  1. 1.
    Anicic, D., Fodor, P., Rudolph, S., Stojanovic, N.: EP-SPARQL: a unified language for event processing and stream reasoning. In: Proceedings of the 20th International Conference on World Wide Web (2011)Google Scholar
  2. 2.
    Balduini, M., Della Valle, E., Dell’Aglio, D., Tsytsarau, M., Palpanas, T., Confalonieri, C.: Social listening of city scale events using the streaming linked data framework. In: Alani, H., Kagal, L., Fokoue, A., Groth, P., Biemann, C., Parreira, J.X., Aroyo, L., Noy, N., et al. (eds.) ISWC 2013, Part II. LNCS, vol. 8219, pp. 1–16. Springer, Heidelberg (2013) CrossRefGoogle Scholar
  3. 3.
    Barbieri, D.F., Braga, D., Ceri, S., Valle, E.D., Grossniklaus, M.: Querying RDF streams with C-SPARQL. SIGMOD Rec. 39(1), 20–26 (2010)CrossRefGoogle Scholar
  4. 4.
    Etzion, O., Niblett, P.: Event Processing in Action, 1st edn. Manning Publications Co., Greenwich (2010) Google Scholar
  5. 5.
    Le-Phuoc, D., Dao-Tran, M., Parreira, J.X., Hauswirth, M.: A native and adaptive approach for unified processing of linked streams and linked data. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part I. LNCS, vol. 7031, pp. 370–388. Springer, Heidelberg (2011) CrossRefGoogle Scholar
  6. 6.
    Le-Phuoc, D., Quoc, H.N.M., Le Van, C., Hauswirth, M.: Elastic and scalable processing of linked stream data in the cloud. In: Alani, H., Kagal, L., Fokoue, A., Groth, P., Biemann, C., Parreira, J.X., Aroyo, L., Noy, N., et al. (eds.) ISWC 2013, Part I. LNCS, vol. 8218, pp. 280–297. Springer, Heidelberg (2013) CrossRefGoogle Scholar
  7. 7.
    Quoc, H.N.M., Serrano, M., Le-Phuoc, D., Hauswirth, M.: Super stream collider-linked stream mashups for everyone. In: Proceedings of the Semantic Web Challenge Co-located with the 11th International Semantic Web Conference, Boston, MA, USA, November 2012Google Scholar
  8. 8.
    Rinne, M., Nuutila, E., Törmä, S.: INSTANS: high-performance event processing with standard RDF and SPARQL. In: Proceedings of the ISWC 2012 Posters and Demonstrations Track, Boston, US (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Authors and Affiliations

  1. 1.Linköping UniversityLinköpingSweden

Personalised recommendations