Abstract
We are surrounding by sensor networks such as healthcare, home or environmental monitoring, weather forecasting, etc. All sensor-based applications proposed are domain-specific. We aim to link these heterogeneous sensor networks to propose promising applications. Existing applications add semantics to the sensor networks, more specifically, to the context, rather than to the sensed data. We propose an architecture to merge heterogeneous sensor networks, convert measurements into semantic data and reason on them.
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Gyrard, A. (2013). An Architecture to Aggregate Heterogeneous and Semantic Sensed Data. In: Cimiano, P., Corcho, O., Presutti, V., Hollink, L., Rudolph, S. (eds) The Semantic Web: Semantics and Big Data. ESWC 2013. Lecture Notes in Computer Science, vol 7882. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38288-8_54
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DOI: https://doi.org/10.1007/978-3-642-38288-8_54
Publisher Name: Springer, Berlin, Heidelberg
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