GeoSPARQL

[1] The definition of a small ontology based on well-understood OGC standards is intended to provide a standardized exchange basis for geospatial RDF data which can support both qualitative and quantitative spatial reasoning and querying with the SPARQL database query language.

[2] The Ordnance Survey Linked Data Platform uses OWL mappings for GeoSPARQL equivalent properties in its vocabulary.

The latter checks whether a triplestore gives compliant answers with respect to the definitions of the GeoSPARQL 1.0 standard irrespective of the time the query takes for execution.

Nevertheless, in 2021, Jovanovik et al.[22] developed the first comprehensive, reproducible GeoSPARQL Compliance benchmark in which nine different triple stores were initially tested.

It would be beneficial to develop standard processes for converting (or virtually converting and exposing) this data to RDF.In 2019, the OGC's GeoSemantics Domain Working Group[25] set out to assess the current usage of GeoSPARQL in different domains in the White Paper "OGC Benefits of Representing Spatial Data Using Semantic and Graph Technologies"[26] and collected initial feature requests to extend GeoSPARQL.

A graphical representation of Region Connection Calculus (RCC: Randell, Cui and Cohn, 1992) and the links to the equivalent naming by the Open Geospatial Consortium (OGC) with their equivalent URIs.
A graphical representation of Region Connection Calculus (RCC: Randell, Cui and Cohn, 1992) and the links to the equivalent naming by the Open Geospatial Consortium (OGC) with their equivalent URIs.