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Share, discover and reuse the Linked Data has never been easier with a LinkedWiki Platform.

Reuse these data in your code

Query, endpoint and code for reusing the same data
https://query.wikidata.org/sparql
PREFIX bd: <http://www.bigdata.com/rdf#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX schema: <http://schema.org/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wikibase: <http://wikiba.se/ontology#>

#defaultView:Map
SELECT (SAMPLE(?bridge) AS ?bridge) (SAMPLE(?bridgeLabel) AS ?bridgeLabel)
       (SAMPLE(?watercourse) AS ?watercourse) (SAMPLE(?watercourseLabel) AS ?watercourseLabel)
       (SAMPLE(?loc) AS ?loc) (SAMPLE(?pic) AS ?pic)
       (CONCAT(SAMPLE(?sKey),": ",STR(YEAR(SAMPLE(?s)))) AS ?start)
       (CONCAT(SAMPLE(?eKey),": ",STR(YEAR(SAMPLE(?e)))) AS ?end)
       (SAMPLE(?article) AS ?article) (IF(BOUND(?article),CONCAT(?bridgeLabel," in Wikipedia"),1/0) AS ?articleLabel)
WHERE {
  {
    SELECT ?bridge ?watercourse WHERE {
      ?bridge wdt:P31/wdt:P279* wd:Q12280; wdt:P177 ?watercourse.
      ?watercourse wdt:P31/wdt:P279* wd:Q355304.
      # the following actually yields a perf penalty atm
      #?bridge wdt:P17 wd:Q183.
      #OPTIONAL { ?bridge wdt:P17 ?country. }. FILTER(!BOUND(?country) || ?country = wd:Q183).
    }
  }

  # wd:Q1202, wd:Q183 work as well atm and take progressively more time to complete
  ?bridge (p:P131|ps:P131)+ wd:Q24186.

  OPTIONAL { ?bridge wdt:P625 ?loc. }.
  OPTIONAL { ?bridge wdt:P18 ?pic. }.
  OPTIONAL { ?bridge wdt:P571 ?s. }.
  OPTIONAL { ?bridge wdt:P576 ?e. }.

  OPTIONAL {
    ?article schema:about ?bridge.
    FILTER (IF(EXISTS {?article schema:inLanguage "[AUTO_LANGUAGE]".},
               SUBSTR(str(?article), 1, 25) = "https://[AUTO_LANGUAGE].wikipedia.org/",
               IF(EXISTS {?article schema:inLanguage "en".},
                  SUBSTR(str(?article), 1, 25) = "https://en.wikipedia.org/",
                  SUBSTR(str(?article), 1, 25) = "https://de.wikipedia.org/"
               )
            )).
  }

  SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en,de".
    ?bridge rdfs:label ?bridgeLabel.
    ?watercourse rdfs:label ?watercourseLabel.
    wd:P571 rdfs:label ?sKey.
    wd:P576 rdfs:label ?eKey.
  }
}
GROUP BY ?bridge ?watercourse
Howto write a query SPARQL? (in French)
{{#sparql:PREFIX bd: <http://www.bigdata.com/rdf#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX schema: <http://schema.org/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wikibase: <http://wikiba.se/ontology#>

#defaultView:Map
SELECT (SAMPLE(?bridge) AS ?bridge) (SAMPLE(?bridgeLabel) AS ?bridgeLabel)
       (SAMPLE(?watercourse) AS ?watercourse) (SAMPLE(?watercourseLabel) AS ?watercourseLabel)
       (SAMPLE(?loc) AS ?loc) (SAMPLE(?pic) AS ?pic)
       (CONCAT(SAMPLE(?sKey),": ",STR(YEAR(SAMPLE(?s)))) AS ?start)
       (CONCAT(SAMPLE(?eKey),": ",STR(YEAR(SAMPLE(?e)))) AS ?end)
       (SAMPLE(?article) AS ?article) (IF(BOUND(?article),CONCAT(?bridgeLabel," in Wikipedia"),1/0) AS ?articleLabel)
WHERE {
  {
    SELECT ?bridge ?watercourse WHERE {
      ?bridge wdt:P31/wdt:P279* wd:Q12280; wdt:P177 ?watercourse.
      ?watercourse wdt:P31/wdt:P279* wd:Q355304.
      # the following actually yields a perf penalty atm
      #?bridge wdt:P17 wd:Q183.
      #OPTIONAL { ?bridge wdt:P17 ?country. }. FILTER(!BOUND(?country) || ?country = wd:Q183).
    }
  }

  # wd:Q1202, wd:Q183 work as well atm and take progressively more time to complete
  ?bridge (p:P131|ps:P131)+ wd:Q24186.

  OPTIONAL { ?bridge wdt:P625 ?loc. }.
  OPTIONAL { ?bridge wdt:P18 ?pic. }.
  OPTIONAL { ?bridge wdt:P571 ?s. }.
  OPTIONAL { ?bridge wdt:P576 ?e. }.

  OPTIONAL {
    ?article schema:about ?bridge.
    FILTER (IF(EXISTS {?article schema:inLanguage "[AUTO_LANGUAGE]".},
               SUBSTR(str(?article), 1, 25) = "https://[AUTO_LANGUAGE].wikipedia.org/",
               IF(EXISTS {?article schema:inLanguage "en".},
                  SUBSTR(str(?article), 1, 25) = "https://en.wikipedia.org/",
                  SUBSTR(str(?article), 1, 25) = "https://de.wikipedia.org/"
               )
            )).
  }

  SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en,de".
    ?bridge rdfs:label ?bridgeLabel.
    ?watercourse rdfs:label ?watercourseLabel.
    wd:P571 rdfs:label ?sKey.
    wd:P576 rdfs:label ?eKey.
  }
}
GROUP BY ?bridge ?watercourse
| endpoint = https://query.wikidata.org/sparql
| chart=bordercloud.visualization.DataTable
| options=
| log=2
}}
Howto install LinkedWiki in my wiki? Howto insert this graph in my wiki?
Test this script in a new tab.
<html>
    <head>
        <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.4.1/jquery.min.js"  async></script>
    </head>
    <body onload="testQuery();">
        <script>
function testQuery(){
    var endpoint = "https://query.wikidata.org/sparql";
    var query = "PREFIX bd: <http://www.bigdata.com/rdf#>\n\
PREFIX p: <http://www.wikidata.org/prop/>\n\
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n\
PREFIX schema: <http://schema.org/>\n\
PREFIX wd: <http://www.wikidata.org/entity/>\n\
PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n\
PREFIX wikibase: <http://wikiba.se/ontology#>\n\
\n\
#defaultView:Map\n\
SELECT (SAMPLE(?bridge) AS ?bridge) (SAMPLE(?bridgeLabel) AS ?bridgeLabel)\n\
       (SAMPLE(?watercourse) AS ?watercourse) (SAMPLE(?watercourseLabel) AS ?watercourseLabel)\n\
       (SAMPLE(?loc) AS ?loc) (SAMPLE(?pic) AS ?pic)\n\
       (CONCAT(SAMPLE(?sKey),\": \",STR(YEAR(SAMPLE(?s)))) AS ?start)\n\
       (CONCAT(SAMPLE(?eKey),\": \",STR(YEAR(SAMPLE(?e)))) AS ?end)\n\
       (SAMPLE(?article) AS ?article) (IF(BOUND(?article),CONCAT(?bridgeLabel,\" in Wikipedia\"),1/0) AS ?articleLabel)\n\
WHERE {\n\
  {\n\
    SELECT ?bridge ?watercourse WHERE {\n\
      ?bridge wdt:P31/wdt:P279* wd:Q12280; wdt:P177 ?watercourse.\n\
      ?watercourse wdt:P31/wdt:P279* wd:Q355304.\n\
      # the following actually yields a perf penalty atm\n\
      #?bridge wdt:P17 wd:Q183.\n\
      #OPTIONAL { ?bridge wdt:P17 ?country. }. FILTER(!BOUND(?country) || ?country = wd:Q183).\n\
    }\n\
  }\n\
\n\
  # wd:Q1202, wd:Q183 work as well atm and take progressively more time to complete\n\
  ?bridge (p:P131|ps:P131)+ wd:Q24186.\n\
\n\
  OPTIONAL { ?bridge wdt:P625 ?loc. }.\n\
  OPTIONAL { ?bridge wdt:P18 ?pic. }.\n\
  OPTIONAL { ?bridge wdt:P571 ?s. }.\n\
  OPTIONAL { ?bridge wdt:P576 ?e. }.\n\
\n\
  OPTIONAL {\n\
    ?article schema:about ?bridge.\n\
    FILTER (IF(EXISTS {?article schema:inLanguage \"[AUTO_LANGUAGE]\".},\n\
               SUBSTR(str(?article), 1, 25) = \"https://[AUTO_LANGUAGE].wikipedia.org/\",\n\
               IF(EXISTS {?article schema:inLanguage \"en\".},\n\
                  SUBSTR(str(?article), 1, 25) = \"https://en.wikipedia.org/\",\n\
                  SUBSTR(str(?article), 1, 25) = \"https://de.wikipedia.org/\"\n\
               )\n\
            )).\n\
  }\n\
\n\
  SERVICE wikibase:label { bd:serviceParam wikibase:language \"[AUTO_LANGUAGE],en,de\".\n\
    ?bridge rdfs:label ?bridgeLabel.\n\
    ?watercourse rdfs:label ?watercourseLabel.\n\
    wd:P571 rdfs:label ?sKey.\n\
    wd:P576 rdfs:label ?eKey.\n\
  }\n\
}\n\
GROUP BY ?bridge ?watercourse"

   // $('#bodyContentResearch').append(queryDataset);
    $.ajax({
                url: endpoint,
                dataType: 'json',
                data: {
                    queryLn: 'SPARQL',
                    query: query ,
                    limit: 'none',
                    infer: 'true',
                    Accept: 'application/sparql-results+json'
                },
                success: displayResult,
                error: displayError
        });
}

function displayError(xhr, textStatus, errorThrown) {
    console.log(textStatus);
    console.log(errorThrown);
}

function displayResult(data) {
    $.each(data.results.bindings, function(index, bs) {
        console.log(bs);
        $("body").append(JSON.stringify(bs) + "<hr/>");
    });
}

        </script>
    </body>
</html>
Test this script in a new tab (Careful, several charts need a API key).
Howto insert this graph in my html page?
<html>
    <head>
     <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css" integrity="sha384-ggOyR0iXCbMQv3Xipma34MD+dH/1fQ784/j6cY/iJTQUOhcWr7x9JvoRxT2MZw1T" crossorigin="anonymous">

     <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.9.0/css/all.min.css">

     <script
            src="https://code.jquery.com/jquery-3.4.1.min.js"
            integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo="
            crossorigin="anonymous"> </script>
     <script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.7/umd/popper.min.js" integrity="sha384-UO2eT0CpHqdSJQ6hJty5KVphtPhzWj9WO1clHTMGa3JDZwrnQq4sF86dIHNDz0W1" crossorigin="anonymous"> </script>
     <script src="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/js/bootstrap.min.js" integrity="sha384-JjSmVgyd0p3pXB1rRibZUAYoIIy6OrQ6VrjIEaFf/nJGzIxFDsf4x0xIM+B07jRM" crossorigin="anonymous"> </script>

     <script type="text/javascript" src="https://bordercloud.github.io/sgvizler2/sgvizler2/sgvizler2.js" defer> </script>
     <script type="text/javascript" src="https://linkedwiki.com/js/initExampleHTML.js"  defer > </script>
    </head>
<body style="margin:0;">
<div id="sgvzl_example_query"
   data-sgvizler-endpoint="https://query.wikidata.org/sparql"
   data-sgvizler-query="PREFIX bd: &lt;http://www.bigdata.com/rdf#&gt;
PREFIX p: &lt;http://www.wikidata.org/prop/&gt;
PREFIX rdfs: &lt;http://www.w3.org/2000/01/rdf-schema#&gt;
PREFIX schema: &lt;http://schema.org/&gt;
PREFIX wd: &lt;http://www.wikidata.org/entity/&gt;
PREFIX wdt: &lt;http://www.wikidata.org/prop/direct/&gt;
PREFIX wikibase: &lt;http://wikiba.se/ontology#&gt;

#defaultView:Map
SELECT (SAMPLE(?bridge) AS ?bridge) (SAMPLE(?bridgeLabel) AS ?bridgeLabel)
       (SAMPLE(?watercourse) AS ?watercourse) (SAMPLE(?watercourseLabel) AS ?watercourseLabel)
       (SAMPLE(?loc) AS ?loc) (SAMPLE(?pic) AS ?pic)
       (CONCAT(SAMPLE(?sKey),&quot;: &quot;,STR(YEAR(SAMPLE(?s)))) AS ?start)
       (CONCAT(SAMPLE(?eKey),&quot;: &quot;,STR(YEAR(SAMPLE(?e)))) AS ?end)
       (SAMPLE(?article) AS ?article) (IF(BOUND(?article),CONCAT(?bridgeLabel,&quot; in Wikipedia&quot;),1/0) AS ?articleLabel)
WHERE {
  {
    SELECT ?bridge ?watercourse WHERE {
      ?bridge wdt:P31/wdt:P279* wd:Q12280; wdt:P177 ?watercourse.
      ?watercourse wdt:P31/wdt:P279* wd:Q355304.
      # the following actually yields a perf penalty atm
      #?bridge wdt:P17 wd:Q183.
      #OPTIONAL { ?bridge wdt:P17 ?country. }. FILTER(!BOUND(?country) || ?country = wd:Q183).
    }
  }

  # wd:Q1202, wd:Q183 work as well atm and take progressively more time to complete
  ?bridge (p:P131|ps:P131)+ wd:Q24186.

  OPTIONAL { ?bridge wdt:P625 ?loc. }.
  OPTIONAL { ?bridge wdt:P18 ?pic. }.
  OPTIONAL { ?bridge wdt:P571 ?s. }.
  OPTIONAL { ?bridge wdt:P576 ?e. }.

  OPTIONAL {
    ?article schema:about ?bridge.
    FILTER (IF(EXISTS {?article schema:inLanguage &quot;[AUTO_LANGUAGE]&quot;.},
               SUBSTR(str(?article), 1, 25) = &quot;https://[AUTO_LANGUAGE].wikipedia.org/&quot;,
               IF(EXISTS {?article schema:inLanguage &quot;en&quot;.},
                  SUBSTR(str(?article), 1, 25) = &quot;https://en.wikipedia.org/&quot;,
                  SUBSTR(str(?article), 1, 25) = &quot;https://de.wikipedia.org/&quot;
               )
            )).
  }

  SERVICE wikibase:label { bd:serviceParam wikibase:language &quot;[AUTO_LANGUAGE],en,de&quot;.
    ?bridge rdfs:label ?bridgeLabel.
    ?watercourse rdfs:label ?watercourseLabel.
    wd:P571 rdfs:label ?sKey.
    wd:P576 rdfs:label ?eKey.
  }
}
GROUP BY ?bridge ?watercourse"
    data-sgvizler-chart='bordercloud.visualization.DataTable'
    data-sgvizler-chart-options=''
    data-sgvizler-endpoint_output_format='json'
    data-sgvizler-log='2'
    style='width:100%; height:auto;'  />

<script>
/*$(function() {
   sgvizler2.containerDrawAll({
       // Google Api key
       googleApiKey : "GOOGLE_MAP_API_KEY",
       // OpenStreetMap Access Token
       //  https://www.mapbox.com/api-documentation/#access-tokens
       osmAccessToken : "OSM_MAP_API_KEY"
     });
});*/
</script>

</body>
</html>
from SPARQLWrapper import SPARQLWrapper, JSON

sparql = SPARQLWrapper("https://query.wikidata.org/sparql")
sparql.setQuery("""
    PREFIX bd: <http://www.bigdata.com/rdf#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX schema: <http://schema.org/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wikibase: <http://wikiba.se/ontology#>

#defaultView:Map
SELECT (SAMPLE(?bridge) AS ?bridge) (SAMPLE(?bridgeLabel) AS ?bridgeLabel)
       (SAMPLE(?watercourse) AS ?watercourse) (SAMPLE(?watercourseLabel) AS ?watercourseLabel)
       (SAMPLE(?loc) AS ?loc) (SAMPLE(?pic) AS ?pic)
       (CONCAT(SAMPLE(?sKey),": ",STR(YEAR(SAMPLE(?s)))) AS ?start)
       (CONCAT(SAMPLE(?eKey),": ",STR(YEAR(SAMPLE(?e)))) AS ?end)
       (SAMPLE(?article) AS ?article) (IF(BOUND(?article),CONCAT(?bridgeLabel," in Wikipedia"),1/0) AS ?articleLabel)
WHERE {
  {
    SELECT ?bridge ?watercourse WHERE {
      ?bridge wdt:P31/wdt:P279* wd:Q12280; wdt:P177 ?watercourse.
      ?watercourse wdt:P31/wdt:P279* wd:Q355304.
      # the following actually yields a perf penalty atm
      #?bridge wdt:P17 wd:Q183.
      #OPTIONAL { ?bridge wdt:P17 ?country. }. FILTER(!BOUND(?country) || ?country = wd:Q183).
    }
  }

  # wd:Q1202, wd:Q183 work as well atm and take progressively more time to complete
  ?bridge (p:P131|ps:P131)+ wd:Q24186.

  OPTIONAL { ?bridge wdt:P625 ?loc. }.
  OPTIONAL { ?bridge wdt:P18 ?pic. }.
  OPTIONAL { ?bridge wdt:P571 ?s. }.
  OPTIONAL { ?bridge wdt:P576 ?e. }.

  OPTIONAL {
    ?article schema:about ?bridge.
    FILTER (IF(EXISTS {?article schema:inLanguage "[AUTO_LANGUAGE]".},
               SUBSTR(str(?article), 1, 25) = "https://[AUTO_LANGUAGE].wikipedia.org/",
               IF(EXISTS {?article schema:inLanguage "en".},
                  SUBSTR(str(?article), 1, 25) = "https://en.wikipedia.org/",
                  SUBSTR(str(?article), 1, 25) = "https://de.wikipedia.org/"
               )
            )).
  }

  SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en,de".
    ?bridge rdfs:label ?bridgeLabel.
    ?watercourse rdfs:label ?watercourseLabel.
    wd:P571 rdfs:label ?sKey.
    wd:P576 rdfs:label ?eKey.
  }
}
GROUP BY ?bridge ?watercourse""")
sparql.setReturnFormat(JSON)
results = sparql.query().convert()

for result in results["results"]["bindings"]:
    print(result)
    #print(result["label"]["value"])
Howto use SPARQL with Python ?
library(SPARQL) # SPARQL querying package
library(ggplot2)

# Step 1 - Set up preliminaries and define query
# Define the data.gov endpoint
    endpoint <- "https://query.wikidata.org/sparql"
# create query statement
    query <- "PREFIX bd: <http://www.bigdata.com/rdf#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX schema: <http://schema.org/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wikibase: <http://wikiba.se/ontology#>

#defaultView:Map
SELECT (SAMPLE(?bridge) AS ?bridge) (SAMPLE(?bridgeLabel) AS ?bridgeLabel)
       (SAMPLE(?watercourse) AS ?watercourse) (SAMPLE(?watercourseLabel) AS ?watercourseLabel)
       (SAMPLE(?loc) AS ?loc) (SAMPLE(?pic) AS ?pic)
       (CONCAT(SAMPLE(?sKey),": ",STR(YEAR(SAMPLE(?s)))) AS ?start)
       (CONCAT(SAMPLE(?eKey),": ",STR(YEAR(SAMPLE(?e)))) AS ?end)
       (SAMPLE(?article) AS ?article) (IF(BOUND(?article),CONCAT(?bridgeLabel," in Wikipedia"),1/0) AS ?articleLabel)
WHERE {
  {
    SELECT ?bridge ?watercourse WHERE {
      ?bridge wdt:P31/wdt:P279* wd:Q12280; wdt:P177 ?watercourse.
      ?watercourse wdt:P31/wdt:P279* wd:Q355304.
      # the following actually yields a perf penalty atm
      #?bridge wdt:P17 wd:Q183.
      #OPTIONAL { ?bridge wdt:P17 ?country. }. FILTER(!BOUND(?country) || ?country = wd:Q183).
    }
  }

  # wd:Q1202, wd:Q183 work as well atm and take progressively more time to complete
  ?bridge (p:P131|ps:P131)+ wd:Q24186.

  OPTIONAL { ?bridge wdt:P625 ?loc. }.
  OPTIONAL { ?bridge wdt:P18 ?pic. }.
  OPTIONAL { ?bridge wdt:P571 ?s. }.
  OPTIONAL { ?bridge wdt:P576 ?e. }.

  OPTIONAL {
    ?article schema:about ?bridge.
    FILTER (IF(EXISTS {?article schema:inLanguage "[AUTO_LANGUAGE]".},
               SUBSTR(str(?article), 1, 25) = "https://[AUTO_LANGUAGE].wikipedia.org/",
               IF(EXISTS {?article schema:inLanguage "en".},
                  SUBSTR(str(?article), 1, 25) = "https://en.wikipedia.org/",
                  SUBSTR(str(?article), 1, 25) = "https://de.wikipedia.org/"
               )
            )).
  }

  SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en,de".
    ?bridge rdfs:label ?bridgeLabel.
    ?watercourse rdfs:label ?watercourseLabel.
    wd:P571 rdfs:label ?sKey.
    wd:P576 rdfs:label ?eKey.
  }
}
GROUP BY ?bridge ?watercourse"
# Step 2 - Use SPARQL package to submit query and save results to a data frame
qd <- SPARQL(endpoint,query)
df <- qd$results
SPARQL with R in less than 5 minutes
#!/usr/bin/env ruby
#
# Install sparql for Ruby
#   gem update --system
#   gem install sparql
#
require 'sparql/client'

endpoint = "https://query.wikidata.org/sparql"
sparql = <<-EOT
PREFIX bd: <http://www.bigdata.com/rdf#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX schema: <http://schema.org/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wikibase: <http://wikiba.se/ontology#>

#defaultView:Map
SELECT (SAMPLE(?bridge) AS ?bridge) (SAMPLE(?bridgeLabel) AS ?bridgeLabel)
       (SAMPLE(?watercourse) AS ?watercourse) (SAMPLE(?watercourseLabel) AS ?watercourseLabel)
       (SAMPLE(?loc) AS ?loc) (SAMPLE(?pic) AS ?pic)
       (CONCAT(SAMPLE(?sKey),": ",STR(YEAR(SAMPLE(?s)))) AS ?start)
       (CONCAT(SAMPLE(?eKey),": ",STR(YEAR(SAMPLE(?e)))) AS ?end)
       (SAMPLE(?article) AS ?article) (IF(BOUND(?article),CONCAT(?bridgeLabel," in Wikipedia"),1/0) AS ?articleLabel)
WHERE {
  {
    SELECT ?bridge ?watercourse WHERE {
      ?bridge wdt:P31/wdt:P279* wd:Q12280; wdt:P177 ?watercourse.
      ?watercourse wdt:P31/wdt:P279* wd:Q355304.
      # the following actually yields a perf penalty atm
      #?bridge wdt:P17 wd:Q183.
      #OPTIONAL { ?bridge wdt:P17 ?country. }. FILTER(!BOUND(?country) || ?country = wd:Q183).
    }
  }

  # wd:Q1202, wd:Q183 work as well atm and take progressively more time to complete
  ?bridge (p:P131|ps:P131)+ wd:Q24186.

  OPTIONAL { ?bridge wdt:P625 ?loc. }.
  OPTIONAL { ?bridge wdt:P18 ?pic. }.
  OPTIONAL { ?bridge wdt:P571 ?s. }.
  OPTIONAL { ?bridge wdt:P576 ?e. }.

  OPTIONAL {
    ?article schema:about ?bridge.
    FILTER (IF(EXISTS {?article schema:inLanguage "[AUTO_LANGUAGE]".},
               SUBSTR(str(?article), 1, 25) = "https://[AUTO_LANGUAGE].wikipedia.org/",
               IF(EXISTS {?article schema:inLanguage "en".},
                  SUBSTR(str(?article), 1, 25) = "https://en.wikipedia.org/",
                  SUBSTR(str(?article), 1, 25) = "https://de.wikipedia.org/"
               )
            )).
  }

  SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en,de".
    ?bridge rdfs:label ?bridgeLabel.
    ?watercourse rdfs:label ?watercourseLabel.
    wd:P571 rdfs:label ?sKey.
    wd:P576 rdfs:label ?eKey.
  }
}
GROUP BY ?bridge ?watercourse
EOT

#For Wikidata, the method get is required
#For other SPARQL endpoints, the method post is prefered
client = SPARQL::Client.new(endpoint, :method => :get)
rows = client.query(sparql)

puts "Number of rows: #{rows.size}"
for row in rows
  for key,val in row do
    # print "#{key.to_s.ljust(10)}: #{val}\t"
    print "#{key}: #{val}\t"
  end
  print "\n"
end
Doc Ruby for SPARQL 1.1
endpoint = 'https://query.wikidata.org/sparql';

query = ['PREFIX bd: <http://www.bigdata.com/rdf#> '...
'PREFIX p: <http://www.wikidata.org/prop/> '...
'PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> '...
'PREFIX schema: <http://schema.org/> '...
'PREFIX wd: <http://www.wikidata.org/entity/> '...
'PREFIX wdt: <http://www.wikidata.org/prop/direct/> '...
'PREFIX wikibase: <http://wikiba.se/ontology#> '...
' '...
'#defaultView:Map '...
'SELECT (SAMPLE(?bridge) AS ?bridge) (SAMPLE(?bridgeLabel) AS ?bridgeLabel) '...
'       (SAMPLE(?watercourse) AS ?watercourse) (SAMPLE(?watercourseLabel) AS ?watercourseLabel) '...
'       (SAMPLE(?loc) AS ?loc) (SAMPLE(?pic) AS ?pic) '...
'       (CONCAT(SAMPLE(?sKey),": ",STR(YEAR(SAMPLE(?s)))) AS ?start) '...
'       (CONCAT(SAMPLE(?eKey),": ",STR(YEAR(SAMPLE(?e)))) AS ?end) '...
'       (SAMPLE(?article) AS ?article) (IF(BOUND(?article),CONCAT(?bridgeLabel," in Wikipedia"),1/0) AS ?articleLabel) '...
'WHERE { '...
'  { '...
'    SELECT ?bridge ?watercourse WHERE { '...
'      ?bridge wdt:P31/wdt:P279* wd:Q12280; wdt:P177 ?watercourse. '...
'      ?watercourse wdt:P31/wdt:P279* wd:Q355304. '...
'      # the following actually yields a perf penalty atm '...
'      #?bridge wdt:P17 wd:Q183. '...
'      #OPTIONAL { ?bridge wdt:P17 ?country. }. FILTER(!BOUND(?country) || ?country = wd:Q183). '...
'    } '...
'  } '...
' '...
'  # wd:Q1202, wd:Q183 work as well atm and take progressively more time to complete '...
'  ?bridge (p:P131|ps:P131)+ wd:Q24186. '...
' '...
'  OPTIONAL { ?bridge wdt:P625 ?loc. }. '...
'  OPTIONAL { ?bridge wdt:P18 ?pic. }. '...
'  OPTIONAL { ?bridge wdt:P571 ?s. }. '...
'  OPTIONAL { ?bridge wdt:P576 ?e. }. '...
' '...
'  OPTIONAL { '...
'    ?article schema:about ?bridge. '...
'    FILTER (IF(EXISTS {?article schema:inLanguage "[AUTO_LANGUAGE]".}, '...
'               SUBSTR(str(?article), 1, 25) = "https://[AUTO_LANGUAGE].wikipedia.org/", '...
'               IF(EXISTS {?article schema:inLanguage "en".}, '...
'                  SUBSTR(str(?article), 1, 25) = "https://en.wikipedia.org/", '...
'                  SUBSTR(str(?article), 1, 25) = "https://de.wikipedia.org/" '...
'               ) '...
'            )). '...
'  } '...
' '...
'  SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en,de". '...
'    ?bridge rdfs:label ?bridgeLabel. '...
'    ?watercourse rdfs:label ?watercourseLabel. '...
'    wd:P571 rdfs:label ?sKey. '...
'    wd:P576 rdfs:label ?eKey. '...
'  } '...
'} '...
'GROUP BY ?bridge ?watercourse '];

url_head = strcat(endpoint,'?query=');
url_query = urlencode(query);
format = 'text/tab-separated-values';
url_tail = strcat('&format=', format);

url = strcat(url_head, url_query, url_tail);

% get the data from the endpoint
query_results = urlread(url);

% write the data to a file so that tdfread can parse it
fid = fopen('query_results.txt','w');
if fid>=0
    fprintf(fid, '%s\n', query_results)
    fclose(fid)
end

% this reads the tsv file into a struct
sparql_data = tdfread('query_results.txt')
Project Github MatlabSPARQL
<?php
require __DIR__ . '/../vendor/autoload.php';
use BorderCloud\SPARQL\SparqlClient;

$endpoint ="https://query.wikidata.org/sparql";
$sp_readonly = new SparqlClient();
$sp_readonly->setEndpointRead($endpoint);
$q = <<<EOD
PREFIX bd: <http://www.bigdata.com/rdf#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX schema: <http://schema.org/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wikibase: <http://wikiba.se/ontology#>

#defaultView:Map
SELECT (SAMPLE(?bridge) AS ?bridge) (SAMPLE(?bridgeLabel) AS ?bridgeLabel)
       (SAMPLE(?watercourse) AS ?watercourse) (SAMPLE(?watercourseLabel) AS ?watercourseLabel)
       (SAMPLE(?loc) AS ?loc) (SAMPLE(?pic) AS ?pic)
       (CONCAT(SAMPLE(?sKey),": ",STR(YEAR(SAMPLE(?s)))) AS ?start)
       (CONCAT(SAMPLE(?eKey),": ",STR(YEAR(SAMPLE(?e)))) AS ?end)
       (SAMPLE(?article) AS ?article) (IF(BOUND(?article),CONCAT(?bridgeLabel," in Wikipedia"),1/0) AS ?articleLabel)
WHERE {
  {
    SELECT ?bridge ?watercourse WHERE {
      ?bridge wdt:P31/wdt:P279* wd:Q12280; wdt:P177 ?watercourse.
      ?watercourse wdt:P31/wdt:P279* wd:Q355304.
      # the following actually yields a perf penalty atm
      #?bridge wdt:P17 wd:Q183.
      #OPTIONAL { ?bridge wdt:P17 ?country. }. FILTER(!BOUND(?country) || ?country = wd:Q183).
    }
  }

  # wd:Q1202, wd:Q183 work as well atm and take progressively more time to complete
  ?bridge (p:P131|ps:P131)+ wd:Q24186.

  OPTIONAL { ?bridge wdt:P625 ?loc. }.
  OPTIONAL { ?bridge wdt:P18 ?pic. }.
  OPTIONAL { ?bridge wdt:P571 ?s. }.
  OPTIONAL { ?bridge wdt:P576 ?e. }.

  OPTIONAL {
    ?article schema:about ?bridge.
    FILTER (IF(EXISTS {?article schema:inLanguage "[AUTO_LANGUAGE]".},
               SUBSTR(str(?article), 1, 25) = "https://[AUTO_LANGUAGE].wikipedia.org/",
               IF(EXISTS {?article schema:inLanguage "en".},
                  SUBSTR(str(?article), 1, 25) = "https://en.wikipedia.org/",
                  SUBSTR(str(?article), 1, 25) = "https://de.wikipedia.org/"
               )
            )).
  }

  SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en,de".
    ?bridge rdfs:label ?bridgeLabel.
    ?watercourse rdfs:label ?watercourseLabel.
    wd:P571 rdfs:label ?sKey.
    wd:P576 rdfs:label ?eKey.
  }
}
GROUP BY ?bridge ?watercourseEOD;
$rows = $sp_readonly->query($q, 'rows');
$err = $sp_readonly->getErrors();
if ($err) {
      print_r($err);
      throw new Exception(print_r($err,true));
}

foreach($rows["result"]["variables"] as $variable){
        printf("%-20.20s",$variable);
        echo '|';
 }
 echo "\n";

foreach ($rows["result"]["rows"] as $row){
        foreach($rows["result"]["variables"] as $variable){
                printf("%-20.20s",$row[$variable]);
        echo '|';
        }
        echo "\n";
 }
 ?>
Project Github BorderCloud/SPARQL
import com.bordercloud.sparql.Endpoint;
import java.util.ArrayList;
import java.util.HashMap;

public class Main {

    public static void main(String[] args) {
        try {
            Endpoint sp = new Endpoint("https://query.wikidata.org/sparql";, false);

            String querySelect = 'PREFIX bd: <http://www.bigdata.com/rdf#> \n'
                    + 'PREFIX p: <http://www.wikidata.org/prop/> \n'
                    + 'PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> \n'
                    + 'PREFIX schema: <http://schema.org/> \n'
                    + 'PREFIX wd: <http://www.wikidata.org/entity/> \n'
                    + 'PREFIX wdt: <http://www.wikidata.org/prop/direct/> \n'
                    + 'PREFIX wikibase: <http://wikiba.se/ontology#> \n'
                    + ' \n'
                    + '#defaultView:Map \n'
                    + 'SELECT (SAMPLE(?bridge) AS ?bridge) (SAMPLE(?bridgeLabel) AS ?bridgeLabel) \n'
                    + '       (SAMPLE(?watercourse) AS ?watercourse) (SAMPLE(?watercourseLabel) AS ?watercourseLabel) \n'
                    + '       (SAMPLE(?loc) AS ?loc) (SAMPLE(?pic) AS ?pic) \n'
                    + '       (CONCAT(SAMPLE(?sKey),": ",STR(YEAR(SAMPLE(?s)))) AS ?start) \n'
                    + '       (CONCAT(SAMPLE(?eKey),": ",STR(YEAR(SAMPLE(?e)))) AS ?end) \n'
                    + '       (SAMPLE(?article) AS ?article) (IF(BOUND(?article),CONCAT(?bridgeLabel," in Wikipedia"),1/0) AS ?articleLabel) \n'
                    + 'WHERE { \n'
                    + '  { \n'
                    + '    SELECT ?bridge ?watercourse WHERE { \n'
                    + '      ?bridge wdt:P31/wdt:P279* wd:Q12280; wdt:P177 ?watercourse. \n'
                    + '      ?watercourse wdt:P31/wdt:P279* wd:Q355304. \n'
                    + '      # the following actually yields a perf penalty atm \n'
                    + '      #?bridge wdt:P17 wd:Q183. \n'
                    + '      #OPTIONAL { ?bridge wdt:P17 ?country. }. FILTER(!BOUND(?country) || ?country = wd:Q183). \n'
                    + '    } \n'
                    + '  } \n'
                    + ' \n'
                    + '  # wd:Q1202, wd:Q183 work as well atm and take progressively more time to complete \n'
                    + '  ?bridge (p:P131|ps:P131)+ wd:Q24186. \n'
                    + ' \n'
                    + '  OPTIONAL { ?bridge wdt:P625 ?loc. }. \n'
                    + '  OPTIONAL { ?bridge wdt:P18 ?pic. }. \n'
                    + '  OPTIONAL { ?bridge wdt:P571 ?s. }. \n'
                    + '  OPTIONAL { ?bridge wdt:P576 ?e. }. \n'
                    + ' \n'
                    + '  OPTIONAL { \n'
                    + '    ?article schema:about ?bridge. \n'
                    + '    FILTER (IF(EXISTS {?article schema:inLanguage "[AUTO_LANGUAGE]".}, \n'
                    + '               SUBSTR(str(?article), 1, 25) = "https://[AUTO_LANGUAGE].wikipedia.org/", \n'
                    + '               IF(EXISTS {?article schema:inLanguage "en".}, \n'
                    + '                  SUBSTR(str(?article), 1, 25) = "https://en.wikipedia.org/", \n'
                    + '                  SUBSTR(str(?article), 1, 25) = "https://de.wikipedia.org/" \n'
                    + '               ) \n'
                    + '            )). \n'
                    + '  } \n'
                    + ' \n'
                    + '  SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en,de". \n'
                    + '    ?bridge rdfs:label ?bridgeLabel. \n'
                    + '    ?watercourse rdfs:label ?watercourseLabel. \n'
                    + '    wd:P571 rdfs:label ?sKey. \n'
                    + '    wd:P576 rdfs:label ?eKey. \n'
                    + '  } \n'
                    + '} \n'
                    + 'GROUP BY ?bridge ?watercourse \n';

            HashMap rs = sp.query(querySelect);
            printResult(rs,30);

        }catch(EndpointException eex) {
            System.out.println(eex);
            eex.printStackTrace();
        }
    }

    public static void printResult(HashMap rs , int size) {

      for (String variable : (ArrayList) rs.get("result").get("variables")) {
        System.out.print(String.format("%-"+size+"."+size+"s", variable ) + " | ");
      }
      System.out.print("\n");
      for (HashMap value : (ArrayList>) rs.get("result").get("rows")) {
        //System.out.print(value);
        /* for (String key : value.keySet()) {
         System.out.println(value.get(key));
         }*/
        for (String variable : (ArrayList) rs.get("result").get("variables")) {
          //System.out.println(value.get(variable));
          System.out.print(String.format("%-"+size+"."+size+"s", value.get(variable)) + " | ");
        }
        System.out.print("\n");
      }
    }
}
Project Github BorderCloud/SPARQL-JAVA
Very soon !
TODO