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Autonomous vehicles cooperate to perform many life-saving and cost-saving applications such as advanced collision warning, tailgating and traffic routing. As the use of autonomous vehicles increases, the transportation infrastructure as a whole becomes highly susceptible to cyber attacks due to the number of components that communicate with each other over wireless networks and the Internet.

Many approaches that have been proposed that allow users to create a Web Ontology Language (OWL) ontology from a relational database fail to include metadata that are inherent to the database tables. Without metadata, the resulting ontology lacks annotation properties. These properties are key when performing ontology alignment. This paper proposes a method to include relevant metadata through annotation properties to OWL ontologies, which furthers the ability to integrate and use data from multiple unique ontologies. The described method is applied to geospatial data collected from The National Map, a data source hosted by the U. S. Geological Survey. Following that method, an ontology was manually created that used the metadata from The National Map. Because a manual approach is prone to human error, an automated approach to storing and converting metadata into annotation properties is discussed.