Strabon has been shown experimentally to be the most efficient spatiotemporal RDF store available today. See the papers Geographica: A Benchmark for Geospatial RDF Stores, and Representing and Querying the valid time of triples for Linked Geospatial Data for more details of how Strabon outperforms all other geospatial or temporal RDF stores available today including commercial systems.
Strabon is a spatiotemporal RDF store. You can use it to store linked geospatial data that changes over time and pose queries using two popular extensions of SPARQL. Strabon supports spatial datatypes enabling the serialization of geometric objects in OGC standards WKT and GML. It also offers spatial and temporal selections, spatial and temporal joins, a rich set of spatial functions similar to those offered by geospatial relational database systems and support for multiple Coordinate Reference Systems. Strabon can be used to model temporal domains and concepts such as events, facts that change over time etc. through its support for valid time of triples, and a rich set of temporal functions. Strabon is built by extending the well-known RDF store Sesame (now called RDF4J) and extends RDF4J’s components to manage thematic, spatial and temporal data that is stored in the backend RDBMS.
The first query language supported by Strabon is stSPARQL. stSPARQL can be used to query data represented in an extension of RDF called stRDF. stRDF and stSPARQL have been designed for representing and querying geospatial data that changes over time, e.g., the growth of a city over the years due to new developments can be represented and queried using the valid time dimesion of stRDF and stSPARQL respectively. The expressive power of stSPARQL makes Strabon the only fully implemented RDF store with rich spatial and temporal functionalities available today.
Strabon also supports the querying of static geospatial data expressed in RDF using a subset of the recent OGC standard GeoSPARQL which consists of the core, geometry extension and geometry topology extension. The implementation of the other components of GeoSPARQL is underway.