February 19, 2024
Thesis Title: Resource Description Framework Parsing Method on the UAS Integration Safety and Security Technology Ontology
When: 03/05/2024 3:30 PM
Where: Simrall Hall Room 228
Candidate: Hunter Harris
Degree: Master of Science in Electrical & Computer Engineering
Committee Members: Dr. Samee Khan, Dr. John Ball, Dr. Chaomin Luo
Abstract:
Ontological engineering utilizes ontologies for various purposes across the spectrum. Just as ontologies are being used in the healthcare field, researchers are also developing ontologies for unmanned aerial systems (UAS). A specific ontology domain has been created laying out various aspects of counter unmanned aerial systems (cUAS), known as the “UAS Integration Safety and Security Technology Ontology” (ISSTO). ISSTO represents a compilation of classes that encompass UAS and cUAS components. The classes within ISSTO include Aircraft Types, Weather, Sensors, UAS Air Traffic Management, National Airspace System (NAS), etc. In order to effectively utilize the ISSTO ontology, UAS pilots and or policymakers require an innovative parsing method to extract the specific information they seek.