smart semantic content for the future internet
DESCRIPTION
MTSR 2011 ocnferenceTRANSCRIPT
Content on the Future Internet
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On the fly content reconstruction
On the fly content reconstruction
http://www.gpsreview.net/pigeonblog-gps-pigeons-monitor-air-quality/
Sensor data and Internet of ThingsSensor data and Internet of Things
Zahariadis et al. (2009)
The CLAIRVOYANT project
Context-aware personalised mobile services in self-organised hybrid networks
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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)
Content Centric Networks
Defined by Jacobson et al. (2009)
=> A semantic layer at network level
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Content Object model
Note the Behaviour and Rule categories
-> Actions as metadata
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The approach
Optimization of the aggregation process through different layers
Need to relate concepts
of both CCN and CO frameworks
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Information – Data - Metadata
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Adaptation of the Content Object model
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Relations
From the CAM4Home project
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Target ontology
From the European project ITEA Wellcom
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Usage data
From the Contextualized Attention Metadata Model
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Integrated model of Content, Information, and Data
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Concrete transportation mechanism
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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.
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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.
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