Adaptable Context-Aware Micro-architecture

  • Susanna Pantsar-Syväniemi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7096)

Abstract

A smart space can be any of our living environments which enrich our lives by relevant services and applications. With the help of context the smart space application can react to current situations or be proactive and take into account the coming circumstances. This paper describes the ongoing research how context-awareness is enabled for heterogeneous smart space applications. We report the results achieved i) of using context-aware agents for defining personalized views of shared information, ii) of a novel context-aware micro-architecture, and iii) of a new context ontology for the smart spaces, CO4SS. Finally, we aim to confirm that the context-aware micro-architecture (CAMA) with the CO4SS ontology is adaptable for multitude of smart space applications being based on different architecture styles.

Keywords

Context Information Description Logic Smart City Architecture Style Context Dimension 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Hong, J., Suh, E., Kim, S.: Context-aware systems: A literature review and classification. Expert System with Applications 36(4), 8502–8509 (2009)Google Scholar
  2. 2.
    Bettini, C., Brdiczka, O., Henricksen, K., Indulska, J., Nicklas, D., Ranganathan, A., Riboni, D.: A survey of context modelling and reasoning techniques. Pervasive and Mobile Computing 6(2), 161–180 (2010)CrossRefGoogle Scholar
  3. 3.
    Truong, H., Dustdar, S.: A survey on context-aware web service systems. International Journal of Web Information Systems 5(1), 5–31 (2009)CrossRefGoogle Scholar
  4. 4.
    Soylu, A., De Causmaecker, P., Desmet, P.: Context and adaptivity in pervasive computing environments: Links with software engineering and ontological engineering. Journal of Software 4(9), 992–1013 (2009)CrossRefGoogle Scholar
  5. 5.
    Kapitsaki, G.M., Prezerakos, G.N., Tselikas, N.D., Venieris, I.S.: Context-aware service engineering: A survey. The Journal of Systems and Software 82, 1285–1297 (2009)CrossRefGoogle Scholar
  6. 6.
    Achillelos, A., Yang, K., Georgalas, N.: Context modelling and a context-aware framework for pervasive service creation: A model-driven approach. Pervasive and Mobile Computing 6(2), 281–296 (2010)CrossRefGoogle Scholar
  7. 7.
    Indulska, J., Nicklas, D.: Introduction to the special issue on context modelling, reasoning and management. Pervasive and Mobile Computing 6(2), 159–160 (2010)CrossRefGoogle Scholar
  8. 8.
    Smirnov, A.V., Shilov, N., Krizhanovsky, A., Lappetelainen, A., Oliver, I., Boldyrev, S.: Efficient distributed information management in smart spaces. In: ICDIM 2008, pp. 483–488. IEEE Computer Society, USA (2008)Google Scholar
  9. 9.
    Dey, A. K., Abowd, G. D.: Towards a better understanding of context and context-awareness. Technical Report GIT-GVU-99-22, Georgia Institute of Technology, College of Computing (1999) Google Scholar
  10. 10.
    Pantsar-Syväniemi, S., Kuusijärvi, J., Ovaska, E.: Context-Awareness Micro-Architecture for Smart Spaces. In: Riekki, J., Ylianttila, M., Guo, M. (eds.) GPC 2011. LNCS, vol. 6646, pp. 148–157. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  11. 11.
    Pantsar-Syväniemi, S., Kuusijärvi, J., Ovaska, E.: Supporting Situation-Awareness in Smart Spaces. In: Rautiainen, M. (ed.) GPC 2011 Workshops. LNCS, vol. 7096, pp. 14–23. Springer, Heidelberg (2011)Google Scholar
  12. 12.
    Yin, R.K.: Case study research: Design and methods, 2nd edn. Sage Publications (1994)Google Scholar
  13. 13.
    Runeson, P., Höst, M.: Guidelines for conducting and reporting case study research in software engineering. Empirical Software Engineering 14 (2009)Google Scholar
  14. 14.
    Lappeteläinen, A., Tuupola, J.-M., Palin, A., Eriksson, T.: Networked systems, services and information - The ultimate digital convergence. In: NoTA 2008, pp. 1–7 (2008)Google Scholar
  15. 15.
  16. 16.
    Toninelli, A., Pantsar-Syväniemi, S., Bellavista, P., Ovaska, E.: Supporting context awareness in smart environments: a scalable approach to information interoperability. In: M-MPAC 2010, session: short papers, Article No: 5. IFIP, USENIX, ACM (2009)Google Scholar
  17. 17.
    Pantsar-Syväniemi, S., Simula, K., Ovaska, E.: Context-awareness in smart spaces. In: SISS 2010, pp. 1023–1028. IEEE Press, New York (2010)Google Scholar
  18. 18.
    Evesti, A., Pantsar-Syväniemi, S.: Towards micro architecture for security adaption. In: MeSSA 2010, pp. 181–188. ACM (2010)Google Scholar
  19. 19.
    OWL, Web ontology language, http://www.w3.org/2004/OWL/
  20. 20.
    Chen, H., Finin, T., Joshi, A.: The SOUPA ontology for pervasive computing. Whitestein Series in Software Agent Technologies. Springer, Heidelberg (2005)Google Scholar
  21. 21.
    Pantsar-Syväniemi, S., Ovaska, E., Ferrari, S., Salmon Cinotti, T., Zamagni, G., Roffia, L., Mattarozzi, S., Nannini, V.: Case study: Context-aware supervision of a smart maintenance process. In: SISS 2011, pp. 309–314. IEEE Computer Society (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Susanna Pantsar-Syväniemi
    • 1
  1. 1.VTT Technical Research Centre of FinlandOuluFinland

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