Use case driven approach for ontology-based modeling of reconnaissance resources on-board UAVs using OWL

This paper describes an ontology-based system to inventory and model various involved aircraft resources (e.g. sensors, airborne platform, computing components, etc.) needed to perform ISR (Intelligence, Surveillance & Reconnaissance) missions in a semantic manner on-board airborne surveillance aircrafts. For this Web Ontology Language (OWL) was used as knowledge representation language. The goal is to determine, based on available capabilities, which combination of resources should be applied to fulfill given ISR tasks. There for a matchmaking approach is applied to match capabilities provided by the system's resources to the mission's requirements (e.g. vehicle detection) during mission. Semantic reasoning is finally used to derive a recommendation for appropriate resource selection. The workflow is demonstrated using representative use cases.