Motivated by real-life emerging needs in critical domains, this paper proposes a coherent and generic ontology for the representation of semantic trajectories, in association with related events and contextual information. The main contribution of the proposed ontology is the representation of semantic trajectories at varying, interlinked levels of spatio-temporal analysis. The paper presents the ontology in detail, also in connection to other well-known ontologies, and demonstrates how exploiting data at varying levels of granularity supports data transformations that can support visual analytics tasks in the air-traffic management domain.
