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Partager, découvrir et réutiliser les données liées n'a jamais été aussi facile avec une plateforme LinkedWiki.

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Répartition des jeux de données par domaine dans le catalogue LinkedWiki
Les données sont décrits avec le vocabulaire du catalogue de données (DCAT)
Les données sont décrits avec le vocabulaire du catalogue de données (DCAT)

Réutilisez ces données dans votre code

Requête, point d'accès et code permettant de réutiliser les mêmes données
https://linkedwiki.com/sparql
PREFIX item: <http://www.wikidata.org/wiki/Q> 
PREFIX skos: <http://www.w3.org/2004/02/skos/core#> 
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>   
PREFIX wikidata: <http://www.wikidata.org/ontology#>  
PREFIX dcat: <http://www.w3.org/ns/dcat#> 
PREFIX dct: <http://purl.org/dc/terms/> 
PREFIX dataset: <https://io.datascience-paris-saclay.fr/datasetView.php?dataset_id=> 

SELECT DISTINCT  
  (SAMPLE(?themeText) as ?label) (COUNT(?title) as ?count) ?theme 
where {
     ?dataset a dcat:Dataset ;
       dct:title ?title ;
     dcat:theme ?theme.
    ?theme rdfs:label ?themeText.
}
GROUP BY ?theme
ORDER BY DESC(?count)
Comment écrire une requête SPARQL ?
{{#sparql:PREFIX item: <http://www.wikidata.org/wiki/Q> 
PREFIX skos: <http://www.w3.org/2004/02/skos/core#> 
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>   
PREFIX wikidata: <http://www.wikidata.org/ontology#>  
PREFIX dcat: <http://www.w3.org/ns/dcat#> 
PREFIX dct: <http://purl.org/dc/terms/> 
PREFIX dataset: <https://io.datascience-paris-saclay.fr/datasetView.php?dataset_id=> 

SELECT DISTINCT  
  (SAMPLE(?themeText) as ?label) (COUNT(?title) as ?count) ?theme 
where {
     ?dataset a dcat:Dataset ;
       dct:title ?title ;
     dcat:theme ?theme.
    ?theme rdfs:label ?themeText.
}
GROUP BY ?theme
ORDER BY DESC(?count)
| endpoint = https://linkedwiki.com/sparql
| chart=google.visualization.Pie
| options=
| log=2
}}
Comment installer LinkedWiki dans mon wiki ? Comment insérer ce graphique dans mon wiki ?
Tester ce script dans un nouvel onglet.
<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://linkedwiki.com/sparql";
    var query = `PREFIX item: <http://www.wikidata.org/wiki/Q> 
PREFIX skos: <http://www.w3.org/2004/02/skos/core#> 
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>   
PREFIX wikidata: <http://www.wikidata.org/ontology#>  
PREFIX dcat: <http://www.w3.org/ns/dcat#> 
PREFIX dct: <http://purl.org/dc/terms/> 
PREFIX dataset: <https://io.datascience-paris-saclay.fr/datasetView.php?dataset_id=> 

SELECT DISTINCT  
  (SAMPLE(?themeText) as ?label) (COUNT(?title) as ?count) ?theme 
where {
     ?dataset a dcat:Dataset ;
       dct:title ?title ;
     dcat:theme ?theme.
    ?theme rdfs:label ?themeText.
}
GROUP BY ?theme
ORDER BY DESC(?count)`;

   // $('#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>
Tester ce script dans un nouvel onglet.
<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 url = new URL("https://linkedwiki.com/sparql");
    var params = {query:`PREFIX item: <http://www.wikidata.org/wiki/Q> 
PREFIX skos: <http://www.w3.org/2004/02/skos/core#> 
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>   
PREFIX wikidata: <http://www.wikidata.org/ontology#>  
PREFIX dcat: <http://www.w3.org/ns/dcat#> 
PREFIX dct: <http://purl.org/dc/terms/> 
PREFIX dataset: <https://io.datascience-paris-saclay.fr/datasetView.php?dataset_id=> 

SELECT DISTINCT  
  (SAMPLE(?themeText) as ?label) (COUNT(?title) as ?count) ?theme 
where {
     ?dataset a dcat:Dataset ;
       dct:title ?title ;
     dcat:theme ?theme.
    ?theme rdfs:label ?themeText.
}
GROUP BY ?theme
ORDER BY DESC(?count)`};

    url.search = new URLSearchParams(params).toString();

    var myHeaders = new Headers();
    myHeaders.append("Accept", "application/sparql-results+json");

    var requestOptions = {
      method: 'GET',
      headers: myHeaders,
      redirect: 'follow'
    };

    fetch(url, requestOptions)
        .then(response => response.json())
        .then(result => displayResult(result))
        .catch(error => displayError(error));
}

function displayError(error) {
    console.log(error);
}

function displayResult(data) {
    data.results.bindings.forEach(bs => {
            console.log(bs);
            $("body").append(JSON.stringify(bs) + "<hr/>");
    });
}
        </script>
    </body>
</html>
Tester ce script dans un nouvel onglet (attention, plusieurs graphiques nécessitent une clé API).
Comment insérer ce graphique dans ma page HTML ?
<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://linkedwiki.com/sparql"
   data-sgvizler-query="PREFIX item: &lt;http://www.wikidata.org/wiki/Q&gt; 
PREFIX skos: &lt;http://www.w3.org/2004/02/skos/core#&gt; 
PREFIX rdfs: &lt;http://www.w3.org/2000/01/rdf-schema#&gt;   
PREFIX wikidata: &lt;http://www.wikidata.org/ontology#&gt;  
PREFIX dcat: &lt;http://www.w3.org/ns/dcat#&gt; 
PREFIX dct: &lt;http://purl.org/dc/terms/&gt; 
PREFIX dataset: &lt;https://io.datascience-paris-saclay.fr/datasetView.php?dataset_id=&gt; 

SELECT DISTINCT  
  (SAMPLE(?themeText) as ?label) (COUNT(?title) as ?count) ?theme 
where {
     ?dataset a dcat:Dataset ;
       dct:title ?title ;
     dcat:theme ?theme.
    ?theme rdfs:label ?themeText.
}
GROUP BY ?theme
ORDER BY DESC(?count)"
    data-sgvizler-chart='google.visualization.Pie'
    data-sgvizler-chart-options=''
    data-sgvizler-endpoint_output_format='json'
    data-sgvizler-log='2'
    style='width:100%; height:500px;'
    lang='fr'
   />

<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://linkedwiki.com/sparql")
sparql.setQuery("""
    PREFIX item: <http://www.wikidata.org/wiki/Q> 
PREFIX skos: <http://www.w3.org/2004/02/skos/core#> 
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>   
PREFIX wikidata: <http://www.wikidata.org/ontology#>  
PREFIX dcat: <http://www.w3.org/ns/dcat#> 
PREFIX dct: <http://purl.org/dc/terms/> 
PREFIX dataset: <https://io.datascience-paris-saclay.fr/datasetView.php?dataset_id=> 

SELECT DISTINCT  
  (SAMPLE(?themeText) as ?label) (COUNT(?title) as ?count) ?theme 
where {
     ?dataset a dcat:Dataset ;
       dct:title ?title ;
     dcat:theme ?theme.
    ?theme rdfs:label ?themeText.
}
GROUP BY ?theme
ORDER BY DESC(?count)""")
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://linkedwiki.com/sparql"
# create query statement
    query <- "PREFIX item: <http://www.wikidata.org/wiki/Q> 
PREFIX skos: <http://www.w3.org/2004/02/skos/core#> 
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>   
PREFIX wikidata: <http://www.wikidata.org/ontology#>  
PREFIX dcat: <http://www.w3.org/ns/dcat#> 
PREFIX dct: <http://purl.org/dc/terms/> 
PREFIX dataset: <https://io.datascience-paris-saclay.fr/datasetView.php?dataset_id=> 

SELECT DISTINCT  
  (SAMPLE(?themeText) as ?label) (COUNT(?title) as ?count) ?theme 
where {
     ?dataset a dcat:Dataset ;
       dct:title ?title ;
     dcat:theme ?theme.
    ?theme rdfs:label ?themeText.
}
GROUP BY ?theme
ORDER BY DESC(?count)"
# Step 2 - Use SPARQL package to submit query and save results to a data frame
qd <- SPARQL(endpoint,query,curl_args=list(useragent=R.version.string))
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://linkedwiki.com/sparql"
sparql = <<-EOT
PREFIX item: <http://www.wikidata.org/wiki/Q> 
PREFIX skos: <http://www.w3.org/2004/02/skos/core#> 
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>   
PREFIX wikidata: <http://www.wikidata.org/ontology#>  
PREFIX dcat: <http://www.w3.org/ns/dcat#> 
PREFIX dct: <http://purl.org/dc/terms/> 
PREFIX dataset: <https://io.datascience-paris-saclay.fr/datasetView.php?dataset_id=> 

SELECT DISTINCT  
  (SAMPLE(?themeText) as ?label) (COUNT(?title) as ?count) ?theme 
where {
     ?dataset a dcat:Dataset ;
       dct:title ?title ;
     dcat:theme ?theme.
    ?theme rdfs:label ?themeText.
}
GROUP BY ?theme
ORDER BY DESC(?count)
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://linkedwiki.com/sparql';

query = ['PREFIX item: <http://www.wikidata.org/wiki/Q>  '...
'PREFIX skos: <http://www.w3.org/2004/02/skos/core#>  '...
'PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>    '...
'PREFIX wikidata: <http://www.wikidata.org/ontology#>   '...
'PREFIX dcat: <http://www.w3.org/ns/dcat#>  '...
'PREFIX dct: <http://purl.org/dc/terms/>  '...
'PREFIX dataset: <https://io.datascience-paris-saclay.fr/datasetView.php?dataset_id=>  '...
' '...
'SELECT DISTINCT   '...
'  (SAMPLE(?themeText) as ?label) (COUNT(?title) as ?count) ?theme  '...
'where { '...
'     ?dataset a dcat:Dataset ; '...
'       dct:title ?title ; '...
'     dcat:theme ?theme. '...
'    ?theme rdfs:label ?themeText. '...
'} '...
'GROUP BY ?theme '...
'ORDER BY DESC(?count) '];

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://linkedwiki.com/sparql";
$sp_readonly = new SparqlClient();
$sp_readonly->setEndpointRead($endpoint);
$q = <<<EOD
PREFIX item: <http://www.wikidata.org/wiki/Q> 
PREFIX skos: <http://www.w3.org/2004/02/skos/core#> 
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>   
PREFIX wikidata: <http://www.wikidata.org/ontology#>  
PREFIX dcat: <http://www.w3.org/ns/dcat#> 
PREFIX dct: <http://purl.org/dc/terms/> 
PREFIX dataset: <https://io.datascience-paris-saclay.fr/datasetView.php?dataset_id=> 

SELECT DISTINCT  
  (SAMPLE(?themeText) as ?label) (COUNT(?title) as ?count) ?theme 
where {
     ?dataset a dcat:Dataset ;
       dct:title ?title ;
     dcat:theme ?theme.
    ?theme rdfs:label ?themeText.
}
GROUP BY ?theme
ORDER BY DESC(?count)
EOD;
$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.*;

import java.net.URI;
import java.net.URISyntaxException;
import java.util.HashMap;

public class Main {

    public static void main(String[] args) {
        try {
            URI endpoint = new URI("https://linkedwiki.com/sparql");
            String querySelect  = "PREFIX item: <http://www.wikidata.org/wiki/Q>  \n"
                    + "PREFIX skos: <http://www.w3.org/2004/02/skos/core#>  \n"
                    + "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>    \n"
                    + "PREFIX wikidata: <http://www.wikidata.org/ontology#>   \n"
                    + "PREFIX dcat: <http://www.w3.org/ns/dcat#>  \n"
                    + "PREFIX dct: <http://purl.org/dc/terms/>  \n"
                    + "PREFIX dataset: <https://io.datascience-paris-saclay.fr/datasetView.php?dataset_id=>  \n"
                    + " \n"
                    + "SELECT DISTINCT   \n"
                    + "  (SAMPLE(?themeText) as ?label) (COUNT(?title) as ?count) ?theme  \n"
                    + "where { \n"
                    + "     ?dataset a dcat:Dataset ; \n"
                    + "       dct:title ?title ; \n"
                    + "     dcat:theme ?theme. \n"
                    + "    ?theme rdfs:label ?themeText. \n"
                    + "} \n"
                    + "GROUP BY ?theme \n"
                    + "ORDER BY DESC(?count) \n";
            SparqlClient sc = new SparqlClient(false);
            sc.setEndpointRead(endpoint);
            SparqlResult sr = sc.query(querySelect);
            //sc.printLastQueryAndResult();

            printResult(sr.getModel(),30);
        } catch (URISyntaxException | SparqlClientException e) {
            System.out.println(e);
            e.printStackTrace();
        }
    }

    public static void printResult(SparqlResultModel rs , int size) {
        for (String variable : rs.getVariables()) {
            System.out.print(String.format("%-"+size+"."+size+"s", variable ) + " | ");
        }
        System.out.print("\n");
        for (HashMap row : rs.getRows()) {
            for (String variable : rs.getVariables()) {
                System.out.print(String.format("%-"+size+"."+size+"s", row.get(variable)) + " | ");
            }
            System.out.print("\n");
        }
    }
}
For example, with Gradle :
apply plugin: 'java'
apply plugin: 'application'

// This comes out to package + '.' + mainClassName
mainClassName = 'Main'

group 'org.example'
version '1.0-SNAPSHOT'

repositories {
    mavenCentral()
}
dependencies {
    compile "com.bordercloud:SPARQL-JAVA:[1.0,)"
}
Project Github BorderCloud/SPARQL-JAVA
Other SPARQL client : RDF4J
You can use the SPARQL clients in Java : BorderCloud/SPARQL-JAVA or RDF4J