SPARQL is a query language for RDF data. It is commonly used in semantic web, linked data, and big data applications. There is a growing number of websites and organizations that provide SPARQL endpoints for querying their public data like Wikidata and DBpedia.
An RDF dataset is simply a set of subject-predicate-object triples. This way of conceptually describing or modeling data is different to the commonly used relational model and is very useful for semantic web applications.
Here is an example of an RDF document in the N-triples/Turtle format:
<http://example.org/#alice> <http://xmlns.com/foaf/0.1/knows> <http://example.org/#bob> . <http://example.org/#alice> <http://xmlns.com/foaf/0.1/name> "Alice" . <http://example.org/#bob> <http://xmlns.com/foaf/0.1/name> "Bob" .
Here is an example of a SPARQL query against the RDF dataset:
SELECT ?name WHERE { ?person <http://xmlns.com/foaf/0.1/knows> <http://example.org/#bob> . ?person <http://xmlns.com/foaf/0.1/name> ?name . }
This query searches for all matching sets of triples and returns the list of names of every person that knows Bob.
You can start writing and executing SPARQL queries right away using interactive SPARQL query services. The table below lists the SPARQL query services that provide access to public datasets:
Website/Organization | URL |
---|---|
Wikidata | https://query.wikidata.org/ |
DBpedia | https://dbpedia.org/sparql |
EU | https://data.europa.eu/euodp/sparqlep |
UK Government | http://statistics.data.gov.uk/sparql |
UNESCO | http://vocabularies.unesco.org/sparql-form/ |
UniProt | https://sparql.uniprot.org/ |
The websites listed above are the best way to get started with SPARQL because they allow you to run queries without having to set anything up.
For an in-depth discussion about SPARQL, take a look at Bob DuCharme's Learning SPARQL: Querying and Updating with SPARQL 1.1 published by O'Reilly Media. For a more technical overview of SPARQL, visit W3C's SPARQL 1.1 Overview.
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