The following manuscript has been accepted for publication in the Int. J. of Sensors, Wireless Communications and Control.
Anusuriya Devaraju and Tomi Kauppinen, Sensors Tell More than They Sense: Modeling and Reasoning about Sensor Observations for Understanding Weather Events, Special Issue on Semantic Sensor Networks, 2011.
Abstract: We argue that sensors provide a better understanding of geographic events. They produce observations that reflect the natural events taking place at a particular location. The essential part to derive information about geographic events from sensor observations is to formalize the relations between them. In this spirit, we develop an ontology to capture the relations between weather events and properties observed by sensors. A case study is investigated to illustrate how blizzard events can be formally represented in relation to a set of atmospheric properties observed by a weather station. We use the historical weather records from the Canadian Climate Archives database to test our approach. Using the ontological structures, we define and implement rules to reason about blizzard events from hourly weather observations.