Theses and Dissertations
ORCID
https://orcid.org/0009-0009-2979-213X
Advisor
Khan, Samee
Committee Member
Ball, John E.
Committee Member
Luo, Chaomin
Date of Degree
5-10-2024
Original embargo terms
Embargo 1 year
Document Type
Graduate Thesis - Open Access
Major
Electrical and Computer Engineering
Degree Name
Master of Science (M.S.)
College
James Worth Bagley College of Engineering
Department
Department of Electrical and Computer Engineering
Abstract
Ontological engineering utilizes ontologies for various purposes across the spectrum. Just as onotlogies are being used in healthcare, 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). Counter unmanned aerial systems are a collection of technologies and systems that detect, track, identify, and mitigate unmanned aerial systems. 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, and the National Airspace System (NAS). To effectively utilize the ISSTO ontology, UAS pilots and or policymakers require an innovative parsing method to extract the specific information they seek. This methodology makes use of ontology querying and natural language processing methods. By using user input, SPARQL queries are built dynamically by the parsing method. It utilizes synonym expansion and a scoring mechanism that prioritizes results by relevance using label matches, class matches, and annotation keyword matches.
Recommended Citation
Harris, Hunter, "Resource description framework parsing method on the UAS integration safety and security technology ontology" (2024). Theses and Dissertations. 6116.
https://scholarsjunction.msstate.edu/td/6116