A Policy Editor for Semantic Sensor Networks
This work addresses the need for simplified policy management in dynamic sensor networks, though it appears incremental as it builds on existing ontologies and simulation tools.
The paper tackles the problem of translating high-level health and safety policies into executable queries for sensor networks in hazardous environments, presenting a framework that automatically generates relevant abstractions from sensor data using the Semantic Sensor Network Ontology.
An important use of sensors and actuator networks is to comply with health and safety policies in hazardous environments. In order to deal with increasingly large and dynamic environments, and to quickly react to emergencies, tools are needed to simplify the process of translating high-level policies into executable queries and rules. We present a framework to produce such tools, which uses rules to aggregate low-level sensor data, described using the Semantic Sensor Network Ontology, into more useful and actionable abstractions. Using the schema of the underlying data sources as an input, we automatically generate abstractions which are relevant to the use case at hand. In this demonstration we present a policy editor tool and a simulation on which policies can be tested.