An ontological approach to focusing attention and enhancing machine perception on the Web

An ontology of perception, IntellegO, is developed that may be used to more efficiently convert observations into perceptions and is presented as an implementation that iteratively and efficiently processes low level, heterogeneous sensor data into knowledge through use of the perception ontology and domain specific background knowledge.

Abstract

Today, many sensor networks and their applications employ a brute force approach to collecting and analyzing sensor data. Such an approach often wastes valuable energy and computational resources by unnecessarily tasking sensors and generating observ