Mtsr foulonneau-14102011

Post on 20-Jan-2015

456 views 5 download

Tags:

description

 

Transcript of Mtsr foulonneau-14102011

Smart semantic content for the Future Internet

MTSR 2011

Muriel Foulonneaumuriel.foulonneau@tudor.lu

Content on the Future Internet

10/04/23 MTSR 2011 2

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

10/04/23 MTSR 2011 3

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

10/04/23 MTSR 2011 4

Content Object model

Note the Behaviour and Rule categories

-> Actions as metadata

14/10/2011 MTSR 2011 5

The approach

Optimization of the aggregation process through different layers

Need to relate concepts

of both CCN and CO frameworks

10/04/23 MTSR 2011 6

Information – Data - Metadata

10/04/23 MTSR 2011 7

Adaptation of the Content Object model

10/04/23 Cc-eSanté 8

Relations

From the CAM4Home project

10/04/23 Cc-eSanté 9

Target ontology

From the European project ITEA Wellcom

10/04/23 MTSR 2011 10

Usage data

From the Contextualized Attention Metadata Model

10/04/23 Cc-eSanté 11

Integrated model of Content, Information, and Data

10/04/23 Cc-eSanté 12

Concrete transportation mechanism

10/04/23 MTSR 2011 13

Future work

• Experimentation with Content Object enveloppes on the network

• Experimenting with metadata encoded as rules

• not only the resource is about history but rather the resource is usually relevant to people whoo like history, thus preferably distribute to those people

• principle that applications or networks decide to take into consideration or not this type of indications.

10/04/23 Cc-eSanté 14

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.

10/04/23 MTSR 2011 15