Resource Description Framework Parsing Method on the UAS Integration Safety and Security Technology Ontology

Ontological engineering applies ontologies to a wide range of purposes. A specific ontology domain has been created laying out multiple aspects of counter unmanned aerial systems (UAS), known as the UAS Integration Safety and Security Technology Ontology (ISSTO). Counter-unmanned aerial systems (cUAS) comprise technologies and systems designed to detect, track, identify, and mitigate unmanned aerial systems (UAS). ISSTO includes a comprehensive set of classes representing UAS and cUAS components. To effectively utilize the ISSTO ontology, UAS pilots and policymakers require an innovative parsing method to extract specific information. This methodology makes use of ontology querying and natural language processing methods. Using user input, SPARQL queries are built dynamically and utilize synonym expansion, a scoring mechanism that prioritizes results by relevance using label matches, class matches, and annotation keyword matches. The parser can pull information from any ontology file as long as the code is tailored to the data structure of the parsed file.

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Publication Details

Published
2025-03-19
DOI
https://doi.org/10.1109/ciss64860.2025.10944758
Primary Topic
Safety Systems Engineering in Autonomy
Type
article
Field-Weighted Citation Impact
0.00

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article

Resource Description Framework Parsing Method on the UAS Integration Safety and Security Technology Ontology

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Safety Systems Engineering in Autonomy
article

Resource Description Framework Parsing Method on the UAS Integration Safety and Security Technology Ontology

Minh To, Hunter Harris, Asad Waqar Malik, Rebecca Garcia, Dylan Couch, Matthew Beach, Samee U. Khan, Shawn McNutt
article en

Abstract

Ontological engineering applies ontologies to a wide range of purposes. A specific ontology domain has been created laying out multiple aspects of counter unmanned aerial systems (UAS), known as the UAS Integration Safety and Security Technology Ontology (ISSTO). Counter-unmanned aerial systems (cUAS) comprise technologies and systems designed to detect, track, identify, and mitigate unmanned aerial systems (UAS). ISSTO includes a comprehensive set of classes representing UAS and cUAS components. To effectively utilize the ISSTO ontology, UAS pilots and policymakers require an innovative parsing method to extract specific information. This methodology makes use of ontology querying and natural language processing methods. Using user input, SPARQL queries are built dynamically and utilize synonym expansion, a scoring mechanism that prioritizes results by relevance using label matches, class matches, and annotation keyword matches. The parser can pull information from any ontology file as long as the code is tailored to the data structure of the parsed file.

Mississippi State University (US)
Federal Aviation Administration
Openalex Percentile: Top 93%
Safety Systems Engineering in Autonomy
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