A concept for reducing workload in a high-volume layered sensing collaborative environment by employing Sensor Web Enablement and reasoning systems

Layered sensing brings multiple heterogeneous sensors together for exploitation and analysis in a variety of ways. Sensor Web Enablement (SWE) architectures can collect the output of layered sensing systems, but threaten to overwhelm analysts with massive amounts of information. Modern reasoning systems for the semantic web such as Jena can assist analysts by performing lower level concrete reasoning. This paper presents a concept for reducing the workload of the operators and analysts in layered sensing collaborative operations by employing a combination of SWE architecture and reasoning systems. It then explores the architecture of such a system and the issues that arise out of its implementation.