Unmanned aerial systems (UAS) have become wildly popular over the past decade. With the increased demand of these systems, it is imperative for agencies such as the Federal Aviation Administration (FAA) to integrate rules and regulations of UAS into the National Airspace System (NAS). In 2023, a UAS Integration Safety and Security Technology Ontology (ISSTO) was developed in the Web Ontology Language (OWL) to aid in this integration. To further aid UAS integration into the NAS, it becomes necessary to develop methods for training new pilots, air traffic control operators, drone operators, etc. This paper proposes a query application that allows new operators to query through ISSTO and efficiently access UAS and counter-UAS information from the knowledge domains contained within the ontology. These knowledge domains include information on various FAA regulations and authorizations, National Airspace classifications, counter-UAS procedures and more. The application developed in this thesis serves as a proof of concept for a commercialized training product.
| Identifer | oai:union.ndltd.org:MSSTATE/oai:scholarsjunction.msstate.edu:td-7303 |
| Date | 13 August 2024 |
| Creators | Beach, Matthew Richard |
| Publisher | Scholars Junction |
| Source Sets | Mississippi State University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Theses and Dissertations |
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