Example Step 8: Publish the data

In this step we make the dataset available on the internet. We have different options for publishing the dataset. A good practice is to use multiple ways, so that data users have a choice and can select the method that best suits their purposes. Firstly, we publish the dataset as a flat file. We do this in two often used syntaxes, i.e., RDF/XML (.rdf) and Turtle (.ttl). LODRefine, the tool we used to convert the data to RDF in step 5 can export to both formats. The resulting files can simply be put on a webserver at data.liander.nl. A better way to make the data available is to store it in a triple store and serve it through a SPARQL-endpoint. In this case we use Sesame, an open source framework for storing and querying RDF data (see http://openrdf.org). Sesame can be installed on an appropriate server, e.g., data.liander.nl. A web interface, the OpenRDF Workbench (shown in the figure below), enables us to create a new RDF repository and upload the RDF triples we created in step 5 from a file.

Once the data is uploaded to Sesame, users can query the dataset with SPARQL, the standard query language for linked data.

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Weergave van een feit, begrip of aanwijzing, geschikt voor overdracht, interpretatie of verwerking door een persoon of apparaat

Simple Protocol And RDF Query Language (SPARQL) is een RDF zoektaal (Query Language) - die gebruikt wordt om RDF-gebaseerde data te bevragen middels zoekopdrachten (Query).