Architecture for Automatic Semantic Annotation to Discover Knowledge From Heterogeneous Sensor Data
Sensor description represented through semantic technologies in heterogeneous sensor network is a better interoperability mechanism. Through semantic annotation, it is possible to provide context awareness information from sensor networks. This will useful to improve to extract knowledge from sensor data streams and discover new sensor capabilities. The authors propose an innovative architecture for a system be able to automatically semantic annotate sensors descriptions with semantic concepts. And it is enabling better analysis and processing from heterogeneous streams of data. The system they proposed, sufficient examples are mentioned and the improvements that semantic context brings in heterogeneous sensor networks.