  Since 2007, geospatial extensions of SPARQL, like GeoSPARQL and stSPARQL,
have been defined and corresponding geospatial RDF stores have been
implemented. In addition, some work on developing benchmarks for evaluating
geospatial RDF stores has been carried out. In this paper, we revisit the
Geographica benchmark defined by our group in 2013 which uses both real world
and synthetic data to test the performance and functionality of geospatial RDF
stores. We present Geographica 2, a new version of the benchmark which extends
Geographica by adding one more workload, extending our existing workloads and
evaluating 5 more RDF stores. Using three different real workloads, Geographica
2 tests the efficiency of primitive spatial functions in RDF stores and the
performance of the RDF stores in real use case scenarios, a more detailed
evaluation is performed using a synthetic workload and the scalability of the
RDF stores is stressed with the scalability workload. In total eight systems
are evaluated out of which six adequately support GeoSPARQL and two offer
limited spatial support.
