GeoSPARQL

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GeoSPARQL is a standard for representation and querying of geospatially linked data for the Semantic Web from the Open Geospatial Consortium (OGC).[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 quantitative and qualitative spatial reasoning and querying with the SPARQL database query language.[2]

Overview

GeoSPARQL provides for:

The following example SPARQL query could help model the question:[3]

PREFIX geo: <http://www.opengis.net/ont/geosparql#>
PREFIX geof: <http://www.opengis.net/def/geosparql/function/>
 
SELECT ?what
WHERE {
  ?what geo:hasGeometry ?geometry .
 
  FILTER(geof:within(?geometry,
     "POLYGON((
-77.089005 38.913574,
-77.029953 38.913574,
-77.029953 38.886321,
-77.089005 38.886321,
-77.089005 38.913574
))"^^geo:wktLiteral))
}

Usage

The Ordnance Survey Linked Data Platform uses OWL mappings for GeoSPARQL equivalent properties in its vocabulary.[4][5] The LinkedGeoData data set is a work of the Agile Knowledge Engineering and Semantic Web (AKSW) research group at the University of Leipzig, a group mostly known for DBpedia, that uses the GeoSPARQL vocabulary to represent OpenStreetMap data.

RCC8 use in GeoSPARQL

RCC8 has been implemented in GeoSPARQL as described below:

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.

Implementation

Implementations include:

Submission

The GeoSPARQL standard was submitted to the OGC by:

Related work

With regards to future work, the GeoSPARQL standard states:

Obvious extensions are to define new conformance classes for other standard serializations of geometry data (e.g. KML, GeoJSON). In addition, significant work remains in developing vocabularies for spatial data, and expanding the GeoSPARQL vocabularies with OWL axioms to aid in logical spatial reasoning would be a valuable contribution. There are also large amounts of existing feature data represented in either a GML file (or similar serialization) or in a datastore supporting the general feature model. It would be beneficial to develop standard processes for converting (or virtually converting and exposing) this data to RDF.

References

  1. Battle & Kolas 2012, p. 355.
  2. Battle & Kolas 2012, p. 358.
  3. Battle & Kolas 2012, p. 363.
  4. Goodwin, John (26 April 2013). "GeoSPARQL and Ordnance Survey Linked Data". John’s Weblog. 
  5. Gemma (3 June 2013). "New Linked Data service launches". Ordnance Survey Blog. 

External links


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