Trajectory Semantic Visualization

Thanks to current GPS technologies, the capture of evolving positions of individual moving objects has become technically and economically feasible. This opens new perspectives for a large number of applications (from transportation and logistics to ecology and anthropology) built on the knowledge of objects’ movements. The goal of this work is to propose a framework that supports querying and visualization of trajectory data. Trajectory data and its semantic context are modeled by the means of an application ontology, which allows the user to elaborate semantic queries. Results are rendered using an automatic matching procedure that allows the user to change the actual visualization of the data.