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Copyright © 2015 Open Geospatial Consortium.
Figure 3 SKOS semantic relationships
Dotted arrows represent statements inferred from the SKOS data model. Solid arrows represent asserted statements.
9.5 SPARQL Service Description
The SPARQL 1.1 Service Description specification provides a vocabulary for describing SPARQL services capabilities that could be used for discovery of SPARQL services and
datasets. It provides mechanism to discover the supported query languages SPARQL 1.0, SPARQL 1.1, SPARQL Update, function extensions, entailment regime inference
and details about the available datasets managed by the SPARQL endpoint. The SPARQL Service Description is accessible through HTTP Get and can returned in RDF
encoding Turtle, N3, RDFXML,JSON-LD.
To access the SPARQL Service description, SPARQL services made available via the SPARQL Protocol should return a service description document at the service endpoint
when dereferenced using the HTTP GET operation without any query parameter strings provided. This service description must be made available in an RDF serialization
Turtle, RDFXML, N3,JSON-LD, may be embedded in XHTML by way of RDFa, and should use content negotiation if available in other RDF representations.
9.6 RDF Cube
Statistical data is a foundation for policy prediction, planning and adjustments and underpins many of the mash-ups and visualizations we see on the web. There is strong
interest in being able to publish statistical data in a web-friendly format to enable it to be linked and combined with related information.
At the heart of a statistical dataset is a set of observed values organized along a group of dimensions, together with associated metadata. The Data Cube vocabulary enables such
Copyright © 2015 Open Geospatial Consortium.
21 information to be represented using the W3C RDF Resource Description Framework
standard and published following the principles of linked data. The vocabulary is based upon the approach used by the SDMX ISO standard for statistical data exchange.
This cube model is very general and so the Data Cube vocabulary can be used for other data sets such as survey data, spreadsheets and OLAP data cubes [OLAP].
The Data Cube vocabulary is focused purely on the publication of multi-dimensional data on the web.
9.7 PROV
