Enriching Geospatial Representation for Ontology-based Aviation Information Exchange

The concept of System Wide Information Management (SWIM) for global Air Traffic Management (ATM) is to achieve various information exchange among related stakeholders, such as information about flights, routes, surveillance, airports, aircrafts, and weather. Although standard information exchange models are adopted in the SWIM concept, these models are different for each type of information. Therefore, ontology and data-linking technologies are required for the semantic integration of heterogeneous data. In this paper, we focus on the geospatial information contained in various data, and propose a method for extending the geospatial representation of the existing aviation ontology. This enables advanced geospatial searches using geometry information and facilitates integration of heterogeneous data.