An architecture to aggregate heterogeneous and semantic sensed data

 We are surrounding by sensor networks such as healthcare, home or environmental monitoring, weather forecasting, etc. All sensor-based applica-tions proposed are domain-specific. We aim to link these heterogeneous sensor networks to propose promising applications. Existing applications add seman-tics to the sensor n etworks, more specifically, to the context, rather than to the sensed data. We propose an architecture to merge heterogeneous sensor net-works, convert measurements into semantic data and reason on them.