In sensor networks, different types of sensors are used to capture events, recognize contexts, derive states of objects or monitor processes within application scenarios. The processes themselves are often very complex (e.g. in industrial applications) and a combination of sensor data from different sensor nodes is used to derive information regarding their states or properties. Sensor data is analyzed, aggregated, used for calculations and transformed to higher level contexts. The high density of sensor readings of a single sensor node and an increasing total number of deployed sensor nodes to sense complex events leads to a situation where the observation or analysis of sensor data is barely possible and the information is not directly perceivable.