The recent years have seen a vast increase in the amount of environmental sensor data that is being published on the Web. Semantic enrichment of sensor data addresses the problems of re-use, integration and discovery. One of the main challenges has been to describe and manage data from multiple environmental sensors. In this talk, we present our approach to semantically augment an in-house sensor data infrastructure named Sensor Cloud, and discuss our experience in using ontologies to model and generate knowledge about sensing data and sensing devices. We capitalize on the use of the SSN Ontology and a few other ontologies derived from OGC's Semantic Web Enablement data models to provide an umbrella ontology, named Sensor Cloud Ontology (SCO).

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