Context-Aware Decision Support in Dynamic Environments: Methodology and Case Study

  • Alexander Smirnov
  • Tatiana Levashova
  • Alexey Kashevnik
  • Nikolay Shilov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8502)

Abstract

Dynamic environments assume on-the-fly decision support based on available information and current situation development. The paper addresses the methodology of context-aware decision support in dynamic environments. Context is modeled as a “problem situation.” It specifies domain knowledge describing the situation and problems to be solved in this situation. The context is produced based on the knowledge extracted from an application ontology, which is formalized as an object-oriented constraint network. The paper proposes a set of technologies that can be used to implement the ideas behind the research. An application of these ideas is illustrated by an example of decision support for tourists travelling by car. In this example, the proposed system generates ad hoc travel plans and assists tourists in planning their attraction attending times depending on the context information about the current situation in the region and its foreseen development.

Keywords

Context-aware decision support ontology in-car information 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Web Services Architecture, W3C Working Group Note, Web (2004), http://www.w3.org/TR/ws-arch/
  2. 2.
    Alonso, G., Casati, F., Kuno, H.A., Machiraju, V.: Web Services – Concepts, Architectures and Applications. Springer, Heidelberg (2004)Google Scholar
  3. 3.
    Papazoglou, M.P., van den Heuvel, W.-J.: Service Oriented Architectures: Approaches, Technologies and Research Issues. VLDB Journal 16(3), 389–415 (2007)CrossRefGoogle Scholar
  4. 4.
    Dey, A.K., Salber, D., Abowd, G.D.: A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications. In: Moran, et al. (eds.) Context-Aware Computing, A Special Triple Issue of Human-Computer Interaction 16, pp. 229–241 (2001)Google Scholar
  5. 5.
    Zimmermann, A., Lorenz, A., Oppermann, R.: An Operational Definition of Context. In: Kokinov, B., Richardson, D.C., Roth-Berghofer, T.R., Vieu, L. (eds.) CONTEXT 2007. LNCS (LNAI), vol. 4635, pp. 558–571. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  6. 6.
    Balandin, S., Boldyrev, S., Oliver, I.J., Turenko, T., Smirnov, A.V., Shilov, N.G., Kashevnik, A.M.: Method and Apparatus for Ontology Matching, US Patent 2012/0078595 A1 (2012)Google Scholar
  7. 7.
    Baumgaertel, H.: Distributed Constraint Processing for Production Logistics. IEEE Intelligent Systems 15(1), 40–48 (2000)CrossRefGoogle Scholar
  8. 8.
    Tsang, J.P.: Constraint Propagation Issues in Automated Design. In: Gottlob, G., Nejdl, W. (eds.) Expert Systems in Engineering: Principles and Applications. LNCS, vol. 462, pp. 135–151. Springer, Heidelberg (1991)CrossRefGoogle Scholar
  9. 9.
    Simon, H.A.: Making Management Decisions: The Role of Intuition and Emotion. Academy of Management Executive 1, 57–64 (1987)CrossRefGoogle Scholar
  10. 10.
    Ambrosino, G., Boero, M., Nelson, J.D., Romanazzo, M. (eds.): Infomobility systems and sustainable transport services, ENEA Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 336 (2012), http://old.enea.it/produzione_scientifica/pdf_volumi/V2010_09-Infomobility.pdf
  11. 11.
    Kashevnik, A., Teslya, N., Shilov, N.: Smart Space Logistic Service for Real-Time Ridesharing. In: Proceedings of 11th Conference of Open Innovations Association FRUCT, pp. 53–62 (2012)Google Scholar
  12. 12.
    Honkola, J., Laine, H., Brown, R., Tyrkko, O.: Smart-M3 information sharing platform. In: Proceedings of the 1st Int’l Workshop on Semantic Interoperability for Smart Spaces (SISS 2010), Electronic Proceedings (2010)Google Scholar
  13. 13.
    Smirnov, A., Pashkin, M., Chilov, N., Levashova, T.: Constraint-driven methodology for context-based decision support. Design, Building and Evaluation of Intelligent DMSS 14(3), 279–301 (2005)Google Scholar
  14. 14.
    Hayes-Roth, B.: Human Planning Processes. Scientific Report (1980), http://www.rand.org/content/dam/rand/pubs/reports/2007/R2670.pdf

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Alexander Smirnov
    • 1
    • 2
  • Tatiana Levashova
    • 1
  • Alexey Kashevnik
    • 1
  • Nikolay Shilov
    • 1
  1. 1.SPIIRASSt. PetersburgRussia
  2. 2.University ITMOSt.PetersburgRussia

Personalised recommendations