To date, Semantic Sensor Web research and development has focused on establishing common techniques and practices that homogenize how to discover sensors, collect their data, integrate them, extract information from them, etc. However, as these issues are overcame and huge data bases of sensor data begin to emerge, the focus should change to improve the data management and the information overload, discarding the non-relevant information from the relevant one, and on the other hand, allow easy and intuitive navigation through it. The objective is to move up the wisdom hierarchy and empower users so they can start discovering new relevant knowledge and making decisions based on that. Therefore, the present research depicts the development of an early-prototyped architecture that emphases the usage of streaming semantic technology to collect, process and converting sensor information in data events that,with the application of semantic reasoning, the systems will automatically and autonomously understand sensor information and also will be able to detect simple situation awareness. Finally, the work performed under this research is partially founded by “FP7 EU WatERP” project (GA318603).