  OpenStreetMap is a rich source of openly available geographic information.
However, the representation of geographic entities, e.g., buildings, mountains,
and cities, within OpenStreetMap is highly heterogeneous, diverse, and
incomplete. As a result, this rich data source is hardly usable for real-world
applications. This paper presents WorldKG -- a new geographic knowledge graph
aiming to provide a comprehensive semantic representation of geographic
entities in OpenStreetMap. We describe the WorldKG knowledge graph, including
its ontology that builds the semantic dataset backbone, the extraction
procedure of the ontology and geographic entities from OpenStreetMap, and the
methods to enhance entity annotation. We perform statistical and qualitative
dataset assessment, demonstrating the large scale and high precision of the
semantic geographic information in WorldKG.
