Context-Based Service Fusion for Personalized On-Board Information Support

  • Alexander Smirnov
  • Nikolay Shilov
  • Aziz Makklya
  • Oleg Gusikhin
Part of the Lecture Notes in Mobility book series (LNMOB)

Abstract

Current in-vehicle information systems make it possible to benefit from integration of new ideas to provide richer driving experience. The paper presents a concept, main supporting technologies and an illustrative case study for improved on-board information system. The key idea of the proposed approach is to implement context-based service fusion supported by a negotiation model. This would provide a new, previously unavailable level of personalized on-board information support via finding compromise decisions taking into account proposals of various services and driver preferences.

Keywords

personalized on-board information support context service fusion 

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References

  1. 1.
    Ambrosino, G., Boero, M., Nelson, J.D., Romanazzo, M. (eds.): Infomobility Systems and Sustainable Transport Services, 336 p. ENEA Italian National Agency For New Technologies, Energy And Sustainable Economic Development (2012)Google Scholar
  2. 2.
    Dey, A.K., Salber, D., Abowd, G.D.: A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications. Context-Aware Computing, A Special Triple Issue of Human-Computer Interaction 16, 229–241 (2001)Google Scholar
  3. 3.
    Raz, D., Juhola, A.T., Serrat-Fernandez, J., Galis, A.: Fast and Efficient Context-Aware Services. John Willey & Sons, Ltd. (2006)Google Scholar
  4. 4.
    Smirnov, A., Levashova, T., Shilov, N.: Patterns for Context-Based Knowledge Fusion in Decision Support. Information Fusion (in press), http://dx.doi.org/10.1016/j.inffus.2013.10.010
  5. 5.
    Smirnov, A., Sandkuhl, K., Shilov, N.: Multilevel Self-Organisation of Cyber-Physical Networks: Synergic Approach. International Journal of Integrated Supply Management 8(1/2/3), 90–106 (2013)CrossRefGoogle Scholar
  6. 6.
    Choi, Y.T., Dooley, K.J., Rungtusanatham, M.: Supply Networks and Complex Adaptive Systems: Control versus Emergence. Journal of Operations Management 19, 351–366 (2001)CrossRefGoogle Scholar
  7. 7.
    Telenor R&D, Report, Project No TFPFAN, Program Peer-To-Peer Computing (2003), http://www.telenor.com/rd/pub/rep03/R_17_2003.pdf
  8. 8.
    De Mola, F., Quitadamo, R.: Towards an Agent Model for Future Autonomic Communications. In: Proceedings of the 7th WOA 2006 Workshop From Objects to Agents (2006), http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-204/P07.pdf
  9. 9.
    Scherl, R., Ulery, D.L.: Technologies for Army Knowledge Fusion. Final report, Monmouth University, Computer Science Department, West Long Branch; Report No. ARL-TR-3279 (2004)Google Scholar
  10. 10.
    Alun, P., Hui, K., Gray, A., Marti, P., Bench-Capon, T., Cui, Z., Jones, D.: Kraft: an Agent Architecture for Knowledge Fusion. International Journal for Cooperative Information Systems 10(1-2), 171–195 (2001)Google Scholar
  11. 11.
    Roemer, M.J., Kacprzynski, G.J., Orsagh, R.F.: Assessment of Data and Knowledge Fusion Strategies for Prognostics and Health Management. In: Proceedings of 2001 IEEE Aerospace Conference, vol. 6, pp. 2979–2988 (2001)Google Scholar
  12. 12.
    Laskey, K.B., Costa, P., Janssen, T.: Probabilistic Ontologies for Knowledge Fusion. In: Proceedings of 2008 IEEE 11th International Conference on Information Fusion (2008), http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnum-ber=4632375
  13. 13.
    Jonquet, C., LePendu, P., Falconer, S., Coulet, A., Noy, N.F., Musen, M.A., Shah, N.H.: NCBO Resource Index: Ontology-Based Search and Mining of Biomedical Resources. Journal of Web Semantics 9(3), 316–324 (2011)CrossRefGoogle Scholar
  14. 14.
    Lin, L.Y., Lo, Y.J.: Knowledge creation and Cooperation between Cross-Nation R&D Institutes. International Journal of Electronic Business Management 8(1), 9–19 (2010)Google Scholar
  15. 15.
    Smirnov, A., Pashkin, M., Chilov, N., Levashova, T., Haritatos, F.: Knowledge Source Network Configuration Approach to Knowledge Logistics. International Journal of General Systems 32(3), 251–269 (2003)CrossRefMATHGoogle Scholar
  16. 16.
    Sandkuhl, K., Smirnov, A., Shilov, N.: Configuration of Automotive Collaborative Engineering and Flexible Supply Networks. In: Cunningham, Cunningham (eds.) Expanding the Knowledge Economy – Issues, Applications, Case Studies, pp. 929–936. IOS Press, Amsterdam (2007)Google Scholar
  17. 17.
    Smirnov, A., Shilov, N., Kashevnik, A.: Developing a Knowledge Management Platform for Automotive Build-To-Order Production Network. Human Systems Management 27(31), 15–30 (2008)Google Scholar
  18. 18.
    Heflin, J., Hendler, J.: Semantic Interoperability on the Web. In: Proceedings of Extreme Markup Languages, pp. 111–120. Graphic Communications Association (2000)Google Scholar
  19. 19.
    Franklin, S.: Is It an Agent, or Just a Program?: A Taxonomy for Autonomous Agents. In: Jennings, N.R., Wooldridge, M.J., Müller, J.P. (eds.) ECAI-WS 1996 and ATAL 1996. LNCS, vol. 1193, pp. 21–35. Springer, Heidelberg (1997)CrossRefGoogle Scholar
  20. 20.
    Klampfl, E., Gusikhin, O., Theisen, K., Liu, Y., Giuli, T.J.: Intelligent Refueling Advisory System. In: Proceedings of 2nd Workshop on Intelligent Vehicle Control Systems, Madeira, Portugal, pp. 60–72 (2008)Google Scholar
  21. 21.
    Burke, R., Ramezani, M.: Matching Recommendation Technologies and Domains. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook. Springer (2011)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Alexander Smirnov
    • 1
    • 3
  • Nikolay Shilov
    • 1
  • Aziz Makklya
    • 2
  • Oleg Gusikhin
    • 2
  1. 1.St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS)St. PetersburgRussia
  2. 2.Ford Motor CompanyDearbornUSA
  3. 3.University ITMOSt. PetersburgRussia

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