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Smart semantic content for the Future Internet


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MTSR 2011 ocnference

MTSR 2011 ocnference

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  • 1. Smart semantic content for the Future Internet MTSR 2011 Muriel Foulonneau [email_address]
  • 2. Content on the Future Internet 31/10/11 MTSR 2011 On the fly content reconstruction Sensor data and Internet of Things Zahariadis et al. (2009)
  • 3. The CLAIRVOYANT project
    • Context-aware personalised mobile services in self-organised hybrid networks
    31/10/11 MTSR 2011
    • Context : Hybrid (TelCo) Networks
      • Mobile Ad-Hoc Networks (MANets) with fixed and mobile nodes; user = mobile node
    • Problem : How to best transmit information in a context- and user- aware way?
      • Context-aware information routing
      • Context and User data aggregation / fusion, and management
      • Context-aware personalisation of information (Information filtering / recommendations)
  • 4. Content Centric Networks
    • Defined by Jacobson et al. (2009)
    • => A semantic layer at network level
    31/10/11 MTSR 2011
  • 5. Content Object model
    • Note the Behaviour and Rule categories
    • -> Actions as metadata
    14/10/2011 MTSR 2011
  • 6. The approach
    • Optimization of the aggregation process through different layers
    • Need to relate concepts
    • of both CCN and CO frameworks
    31/10/11 MTSR 2011
  • 7. Information – Data - Metadata 31/10/11 MTSR 2011
  • 8. Adaptation of the Content Object model 31/10/11 Cc-eSanté
  • 9. Relations
    • From the CAM4Home project
    31/10/11 Cc-eSanté
  • 10. Target ontology
    • From the European project ITEA Wellcom
    31/10/11 MTSR 2011
  • 11. Usage data
    • From the Contextualized Attention Metadata Model
    31/10/11 Cc-eSanté
  • 12. Integrated model of Content, Information, and Data 31/10/11 Cc-eSanté
  • 13. Concrete transportation mechanism 31/10/11 MTSR 2011
  • 14. Future work
    • Content Object enveloppes on the network
    • Tailoring content naming strategy
    • Metadata encoded as rules/active components
      • not only the resource is about history but rather the resource is usually relevant to people who like history , thus preferably distribute to those people
      • principle that applications or networks decide to take into consideration or not this type of indications.
    31/10/11 Cc-eSanté
  • 15. References
    • Jacobson, V. and Smetters, D.K. and Thornton, J.D. and Plass, M.F. and Briggs, N.H. and Braynard, R.L. Networking named content. Proceedings of the 5th international conference on Emerging networking experiments and technologies. 2009. pp 1-12.
    • Zahariadis, T., Daras, P., Bouwen, J., Niebert, N., Griffin, D., Alvarez, F., Camarillo, G. Towards a Content-Centric Internet, Towards the Future Internet G. Tselentis et al. (Eds.) IOS Press, 2010
    • Naudet, Y., Aghasaryan, A., Mignon, S., Toms, Y., and Senot, C. Ontology-Based Profiling and Recommendations for Mobile TV. In Wallace, M., and al., e., editors, Semantics in Adaptive and Personalized Services, volume 279/2010 of Studies in Computational Intelligence, pages 23–48. Springer Berlin / Heidelberg, 2010.
    • Bilasco, M., Amir, S., Blandin, P., Djeraba, C., Laitakari, J., Martinet, J., Gracia, E. M., Pakkala, D., Rautainen, M., Ylianttila M., and Zhou, J. Semantics for intelligent delivery of multimedia content, SAC ACM 2010, Sierre, Switzerland 22 – 26 march, 2010.
    • Wolpers, M., Najjar, J., Verbert, K., Duval, E. Tracking Actual Usage: the Attention Metadata Approach, International Journal Educational Technology and Society, ISSN: 1436-4522, 2007.
    31/10/11 MTSR 2011