SPARQL Examples
SPARQL Examples from Lecture 3: SPARQL
The data are available in this Blazegraph triple store: http://sandbox.i2s.uib.no , but you may need to be inside the UiB network (or on VPN.)
List properties
SELECT DISTINCT ?p WHERE { ?s ?p ?o . } LIMIT 100
List types
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> SELECT DISTINCT ?t WHERE { ?s rdf:type ?t . } LIMIT 100
List authors
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX foaf: <http://xmlns.com/foaf/0.1/> SELECT DISTINCT ?p WHERE { ?s rdf:type foaf:Person . ?s ?p ?o . } LIMIT 100
Prefixes used
The examples below will assume that these are in place.
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#> PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX owl: <http://www.w3.org/2002/07/owl#> PREFIX dc: <http://purl.org/dc/terms/> PREFIX bibo: <http://purl.org/ontology/bibo/> PREFIX foaf: <http://xmlns.com/foaf/0.1/> PREFIX skos: <http://www.w3.org/2004/02/skos/core#> PREFIX ss: <http://semanticscholar.org/> PREFIX kg: <http://i2s.uib.no/kg4news/> PREFIX sp: <http://i2s.uib.no/kg4news/science-parse/> PREFIX th: <http://i2s.uib.no/kg4news/theme/> SELECT DISTINCT ?p WHERE { ?s rdf:type ss:Paper . ?s ?p ?o . } LIMIT 100
Explain all types and properties
SELECT ?pt ?e WHERE { ?pt rdfs:comment ?e . } LIMIT 100
List main papers
SELECT * WHERE { ?paper rdf:type kg:MainPaper . ?paper dc:date ?year . }
Add this to show datatypes!
BIND ( DATATYPE(?year) AS ?type )
Add this to only show years with the right type.
FILTER ( DATATYPE(?year) = xsd:gYear )
Group and count main papers by year
SELECT ?year (COUNT(?paper) AS ?count) WHERE { ?paper rdf:type kg:MainPaper . ?paper dc:date ?year . FILTER ( DATATYPE(?year) = xsd:gYear ) } GROUP BY ?year
Add this to order the results
ORDER BY ?year
Add this to order and only show years with more than 5 papers.
HAVING (?count > 5) ORDER BY DESC(?count)
Show papers
SELECT ?paper ?year WHERE { ?paper rdf:type kg:MainPaper . ?paper dc:date ?year . FILTER ( DATATYPE(?year) = xsd:gYear ) }
Change last lines to show papers without an xsd:gYear too.
OPTIONAL { ?paper dc:date ?year . FILTER ( DATATYPE(?year) = xsd:gYear ) }
Alternative values for variables
SELECT ?p ?n ?year WHERE { ?p rdf:type kg:MainPaper . ?p dc:contributor ?a . ?a foaf:name ?n . ?p dc:date ?year . FILTER ( CONTAINS( ?n, ?str ) ) FILTER ( CONTAINS( STR(?year), ?yr) ) VALUES ?str { "Andreas" "David" } VALUES ?yr { "2020" "2019" } }
Property paths (composite properties)
This query:
SELECT ?p ?n WHERE { ?p rdf:type kg:MainPaper . ?p dc:contributor ?c . ?c foaf:name ?n . }
Can be simplified by eliminating ?c:
SELECT ?p ?n WHERE { ?p rdf:type kg:MainPaper . ?p dc:contributor / foaf:name ?n . }
Can be further simplified by first reversing rdf:type:
SELECT ?p ?n WHERE { kg:MainPaper ^rdf:type ?p . ?p dc:contributor / foaf:name ?n . }
...and the eliminating ?p:
SELECT ?n WHERE { kg:MainPaper ^rdf:type / dc:contributor / foaf:name ?n . }
Retrieve titles of papers that mention SPARQL
Get papers with topics labelled "SPARQL":
SELECT ?t WHERE { ?t ^dc:title / dc:subject / skos:prefLabel "SPARQL" . }
Some labels also go via a theme:
SELECT ?t WHERE { ?t ^dc:title / dc:subject / th:theme / skos:prefLabel "SPARQL" . }
We can get both using a path with an optional element (the '?'):
SELECT ?t WHERE { ?t ^dc:title / dc:subject / th:theme? / skos:prefLabel "SPARQL" . }
Using an external SPARQL endpoint
We limit to a single label to avoid time-outs and rate limitations:
SELECT ?a ?n ?r WHERE { ?a rdf:type ss:Topic . ?a skos:prefLabel ?n . FILTER ( ?n = "SPARQL" ) BIND ( STRLANG( ?n, "en" ) AS ?n2 ) SERVICE <https://dbpedia.org/sparql> { ?r rdfs:label ?n2 . } } LIMIT 1
Insert 4-digit years for all main papers
Main papers that do not have an xsd:gYear:
SELECT * WHERE { ?p rdf:type kg:MainPaper . ?p dc:date ?d . FILTER ( DATATYPE(?d) = xsd:gYear ) }
Show the datatypes:
SELECT * WHERE { ?p rdf:type kg:MainPaper . ?p dc:date ?d . FILTER ( DATATYPE(?d) = xsd:dateTime ) BIND ( year( ?d ) AS ?dt ) }
Insert 4-digit years:
INSERT { ?paper dc:date ?year } WHERE { ?paper rdf:type kg:MainPaper . ?paper dc:date ?date . FILTER( DATATYPE(?date) != xsd:gYear ) BIND ( YEAR(?date) AS ?year ) }
(Actually, these years are xsd:integer- s, not quite xsd:gYear-s.)
SPARQL Examples from Lecture 5: RDFS
Turn on inference!
Make sure inference is on in your triple store, or that you compute closures if you run this in Python with rdflib and OWL-RL.
In Blazegraph, create a new "Namespace" with the "Inference" box checked. Remember to "Use" the new namespace.
In Python, install the OWL-RL package (pip install owlrl). Explicitly compute RDFS closure like this:
import owlrl.RDFSClosure ... rdfs = owlrl.RDFSClosure.RDFS_Semantics(g, False, False, False) rdfs.closure() rdfs.flush_stored_triples()
rdfs:subClassOf entailment
Update:
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX foaf: <http://xmlns.com/foaf/0.1/> PREFIX kg: <http://i2s.uib.no/kg4news/> INSERT DATA { kg:TimBernersLee rdf:type kg:Author . kg:Author rdfs:subClassOf foaf:Person . }
Query:
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX foaf: <http://xmlns.com/foaf/0.1/> PREFIX kg: <http://i2s.uib.no/kg4news/> ASK { kg:TimBernersLee rdf:type foaf:Person . }
rdfs:domain entailment
Update:
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX dcterm: <http://purl.org/dc/terms/> PREFIX kg: <http://i2s.uib.no/kg4news/> INSERT DATA { kg:TimBernersLee rdf:type kg:Author . kg:TheSemanticWeb dcterm:contributor kg:TimBernersLee . dcterm:contributor rdfs:domain kg:Paper . }
Query:
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX dcterm: <http://purl.org/dc/terms/> PREFIX kg: <http://i2s.uib.no/kg4news/> ASK { kg:TheSemanticWeb rdf:type kg:Paper . }