Base
Fetch SPARQL data
Data can be fetched using various coding languages such as Python, Javascript, R and others. On the Wikidata Query Service page, after running your SPARQL query, click "Code" : a pop up window appears with various implementations.
Javascript:
At least 3 methods exists (code snippet), example:
| Query |
Result's basic unit
|
SPARQL:
SELECT ?item WHERE { ?item prop:P2 entity:Q5 } LIMIT 10
|
{ … },
{
"item": {
"type": "uri",
"value": "https://lingualibre.org/entity/Q12"
},
"itemLabel": {
"xml:lang": "en",
"type": "literal",
"value": "beginner"
}
},
{ … }
|
Javascript:
var endpoint = 'https://lingualibre.org/sparql';
var sparql = 'SELECT ?item WHERE { ?item prop:P2 entity:Q5 } LIMIT 10';
$.getJSON(endpoint,
{ query: sparql, format: 'json' },
function(data){ console.log('JQuery: ',data)}
);
|
✅ Is Language level (Q5) → list possible values
SELECT ?item ?itemLabel
WHERE {
?item prop:P2 entity:Q5 # Condition 1, P2 'instance of' is Q5 'language level'.
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
|
✅ Is Sex or Gender(Q7) → list possible values
SELECT ?item ?itemLabel
WHERE {
?item prop:P2 entity:Q7 # Condition 1, P2 'instance of' is Q7 'sex or gender'.
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
|
✅🇶 Is Speaker (Q3) → list all speakers
SELECT ?speaker ?speakerLabel
WHERE {
?speaker prop:P2 entity:Q3 . # Condition 1, P2 'instance of' is Q3 'speaker'.
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
|
✅ Speaker name(s) → Speaker Qid(s)
SELECT ?speakerName ?speakerId
WHERE {
VALUES ?speakerName { "Yug" "VIGNERON" } # One or multiple values
BIND ( STRLANG(?speakerName, "en") AS ?speakerLabel )
# P2: instance of; Q3: speaker.
?speakerId prop:P2 entity:Q3 ; rdfs:label ?speakerLabel .
}
|
|
✅🇶 Speaker Qid (Q42) → Speaker data
# Get Q42 (User:0x010C)'s data
SELECT ?predicate ?object ?objectLabel
WHERE {
entity:Q42 ?predicate ?object .
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
|
✅🇶 Speaker Qid (Q42) → Speaker data → Speaker languages (P4)
SELECT ?languages ?languagesLabel
WHERE {
entity:Q42 prop:P4 ?languages .
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
|
✅ Speaker Qid + language → list of all associated audios
SELECT ?audio ?audioLabel
WHERE {
?audio prop:P5 entity:Q42 . # Condition 1, P5 Speaker is Q42 User:0x010C
?audio prop:P4 entity:Q21 . # Condition 2, P4 language is Q21 French
# Labels
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
|
❌ Is Language (Q3) → list all languages with number of unique words and speakers
Too large to run (not even on Lingualibre Query).
SELECT ?language (COUNT(?audio) AS ?nbAudio) (COUNT(?speaker) AS ?nbSpeaker) WHERE {
?language prop:P2 entity:Q4 .
?audio prop:P4 ?language .
?speaker prop:P4 ?language .
}
GROUP BY ?language
To do: do smaller sub-queries. For now, works only for one counter and one language at a time:
Sub-queries
✅ Language LL Qid (Q21) → All items
SELECT ?language (COUNT(?audio) AS ?nbAudio) WHERE {
VALUES ?language { entity:Q21 }
?audio prop:P4 ?language .
}
GROUP BY ?language
|
|
✅ Language LL Qid (Q21) → Number of records
SELECT ?language (COUNT(?audio) AS ?audio) WHERE {
VALUES ?language { entity:Q21 }
?audio prop:P2 entity:Q2 . # P2 'instance of' is Q2 'record'
?audio prop:P4 ?language . # P4 'language' is Q21 'French'
}
GROUP BY ?language
|
|
Language LL Qid (Q21) → Number of unique words
✅ Language LL Qid (Q21) → Number of speakers
SELECT ?language (COUNT(?audio) AS ?audio) WHERE {
VALUES ?language { entity:Q21 }
?audio prop:P2 entity:Q3 . # P2 'instance of' is Q3 'speaker'
?audio prop:P4 ?language . # P4 'language' is Q21 'French'
}
GROUP BY ?language
|
|
✅ Language LL Qid (Q209) → List of speakers
SELECT ?language ?speaker ?speakerLabel WHERE {
VALUES ?language { entity:Q209 }
?speaker prop:P2 entity:Q3 . # P2 'instance of' is Q3 'speaker'
?speaker prop:P4 ?language . # P4 'language' is Q21 'French'
# Labels
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
|
✅ Language LL Qid (Q21) + Speaker (Q42) → Number of records
SELECT ?language ?speakerLabel (COUNT(?audio) AS ?audio)
WHERE {
VALUES ?language { entity:Q21 }
VALUES ?speaker { entity:Q42 }
?audio prop:P4 ?language . # P4 'language' is Q21 'French'
?audio prop:P2 entity:Q2 . # P2 'instance of' is Q2 'record'
?audio prop:P5 ?speaker . # P5 'speaker' is Q42 '0x010C'
# Labels
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
GROUP BY ?language ?speakerLabel
|
|
Isolang → Language LL Qid
SELECT * WHERE {
?lang prop:P13 ?code .
}
|
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✅ Isolang → Language WD Qid
SELECT ?langIso ?langId
WHERE {
VALUES ?langIso { "ban" "bre" } # One or multiple values
# P2 'instance of'; Q4 'language'; P13 'ISO 639-3 code'
?langId prop:P2 entity:Q4 ; prop:P13 ?langIso .
}
|
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✅ Language WD Qid → Language data
SELECT * WHERE {
?lang prop:P12 "Q12107" . # P12 'Wikidata id' is Wikidata's "Q12107"
?lang ?predicate ?object . #
}
|
|
✅ Language LL Qid (Q209) → Language data
'Case: Get for language Q209 'Breton' all its data.
SELECT * WHERE {
# Given Q209 'Breton language', get all properties and values
entity:Q209 ?predicate ?object .
}
|
|
✅ Language LL Qid (Q209) → core Language data
'Case: Get for language Q209 'Breton' all its CORE data.
SELECT * WHERE {
# Given Q209 'Breton language', get all properties and values
entity:Q209 ?predicate ?object .
?predicate rdf:type owl:DatatypeProperty .
}
|
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✅ Language (Q209) + speaker (Q584098) + word (ni) → Audio's Qid
Case: Search in Breton language, with speaker 'ThonyVezbe',
SELECT ?audio
WHERE {
?audio prop:P4 entity:Q209 . # P4 'language' is Q209 'Breton'
?audio prop:P5 entity:Q584098 . # P5 'speaker' is Q584098 'ThonyVezbe'
?audio rdfs:label ?word . #word
FILTER ( STR(?word) = "ni" ) # word = 'ni'
}
|
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Audio Qid → Audio data
✅ Langue + speaker + word → Audio's Commons url
Tools
- Special:ApiSandbox – API queries generator for Lingualibre wikipage and wikibase contents.