| Abstract: | Various technologies for facilitating analysis of large remote sensing
and geolocation datasets to identify features of interest are described
herein. A search query can be submitted to a computing system that
executes searches over a geospatial temporal semantic (GTS) graph to
identify features of interest. The GTS graph comprises nodes
corresponding to objects described in the remote sensing and geolocation
datasets, and edges that indicate geospatial or temporal relationships
between pairs of nodes in the nodes. Trajectory information is encoded in
the GTS graph by the inclusion of movable nodes to facilitate searches
for features of interest in the datasets relative to moving objects such
as vehicles. |