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– Leveraging Semantic Web Technologies for Concept Extraction from Social Content: – Work on the state of the art in the extraction and the exploitation of social contents. – Research and development of an algorithm to disambiguate social content using Semantic Web Technologies.

– Machine to Machine (M2M) networks simulation for the problem of scalability (project SensCity - Grenoble): – Parameters and properties selection of a M2M network and define how to simulate them using PeerSim - a framework for simulating P2P networks. – Implement components of PeerSim and define scenarios to execute the simulations. – Produce graphs from the simulations results to present the answer for the question of scalability.