  Policies are authoritative assets that are present in multiple domains to
support decision-making. They describe what actions are allowed or recommended
when domain entities and their attributes satisfy certain criteria. It is
common to find policies that contain geographical rules, including distance and
containment relationships among named locations. These locations' polygons can
often be found encoded in geospatial datasets. We present an approach to
transform data from geospatial datasets into Linked Data using the OWL, PROV-O,
and GeoSPARQL standards, and to leverage this representation to support
automated ontology-based policy decisions. We applied our approach to
location-sensitive radio spectrum policies to identify relationships between
radio transmitters coordinates and policy-regulated regions in Census.gov
datasets. Using a policy evaluation pipeline that mixes OWL reasoning and
GeoSPARQL, our approach implements the relevant geospatial relationships,
according to a set of requirements elicited by radio spectrum domain experts.
