Ontology-Based Resource Description Framework for Next Generation Intelligent Airborne Radar

Recent advancements in the theory where new radar operating modes can be conceived that exploit the knowledge-aided (KA) processing for radar has also matured to the point where the adaptivity of the radar (both on transmit and receive) can be intelligently regulated through precise environmental awareness. This paper investigates leveraging the AI tools being developed by the Semantic Web, specifically, the building of ontologies and resource description framework (RDF) for Next Generation Intelligent Airborne Radar so that they can efficiently acquire information about interference environment and share data with other sensors.