Sparqlify and TripleGeo are powerful tools that handle the transformation of geospatial data from several sources and formats into RDF triples. LIMES is the state of the art tool for interlinking RDF data, taking also into account spatial dimensions of the entities. FAGI is the first platform to allow fusion of geospatial Linked Data, supporting several thematic and spatial fusion actions. DEER is a data enrichment framework that applies enrichment functions and operators to discover implicit or explicit references of entities to external datasets. OSMRec is a framework for the semantic enrichment and classification of geospatial entities. SANSA is a distributed in memory framework for RDF that provides scalable inference and analytics capabilities for Linked Data.