Abstract. Integrating data from heterogeneous sources has led to the development of Extract-Transform-Load (ETL) systems and methodologies, as a means of addressing modern interoperability challenges. A few such tools have been available for converting between geospatial formats, but none specifically addressing the emerging needs of geospatially-enabled RDF stores. In this paper, we introduce TripleGeo, an open-source ETL utility that can extract geospatial features from various sources and transform them into triples for subsequent loading into RDF stores. TripleGeo can directly access both geometric representations and thematic attributes either from standard geographic formats or widely used DBMSs. It can also reproject input geometries on-the-fly into a different Coordinate Reference System, before exporting the resulting triples into a variety of notations. Most importantly, TripleGeo supports the recent GeoSPARQL standard endorsed by the Open GeoSpatial Consortium, although it can extract geometries into other vocabularies as well. This tool has been validated against OpenStreetMap layers with millions of geometries, opening up perspectives to add more functionality and to address much bigger data volumes.