Modeling Geospatial Sensor Knowledge under a Semantic Sensor Web Environment

In recent years, developments in Internet of things and ubiquitous computing have created new opportunities to promote sensors participation in environmental, military and personalized monitoring. Up to now, sensor networks have been proposed for various applications, which are however characterized by a lack of interoperability. In this context, the paper gives a survey on semantic sensor web, and proposes a general method for modeling geospatial sensor knowledge by adding semantic annotations and rule reasoning to the Sensor ML (Sensor Model Language) described sensor information within OGC (Open Geospatial Consortium) SWE (Sensor Web Enablement) framework. We describe the air quality monitoring instance which gives a solution for automatically reporting the health implications and cautionary statements to the nearby people. This work constitutes an essential step towards the geospatial knowledge modeling of interoperable and intelligent sensor networks.