SPARQL

Draft

December 2021 rewriting : work in progress, please do not translate yet.

Done Gather SPARQL queries related to: core, speakers, languages, audios.
Done NOW/Opened: ~~De-Westernization, replacing Q21 (French) by Q34 (Marathi) and Q42 (User:0x010C) by Q445757 (User:SangeetaRH‎).~~
NOW/Opened: General content review. You may help by: a) reading and copy-editing the page's English, b) testing queries on LLQS, edit in or discuss improvements, ~~3) increase comments' concistency~~.
Legend: ✅ pretty clean example, approved ; 🇶 minor aspects to improve, see hidden comment ; ❌ query too heavy to run in this page.
Later/not yet: translations.

Help welcome.

Base

Useful elements

Special:ListProperties – exhaustive list of LinguaLibre's Wikibase properties.
LinguaLibre:List of languages – exhaustive list of LinguaLibre's languages

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Tools

On Wikidata, the WDQS allows to practice SPARQL queries creation in an intuitive way.

Endpoint LinguaLibre LinguaLibre Query Service (LLQS) – run SPARQL Queries upon LinguaLibre. Run, test, download the data as json, csv or tsv.
Endpoint Wikidata Wikidata Query Service (WDQS) – run SPARQL Queries upon Wikidata. Run, test, download the data as json, csv or tsv. Has advanced user-friendly features such as : word hovering too see a term's meaning, code optimization, etc.
Endpoint Wikimedia Commons Wikimedia Commons Query Service (WCQS) run SPARQL Queries upon Wikimedia Commons wikibase (need to log in).
Wikidata Lexeme Queries generators (hack me) by @sina_ahm – helps to create queries for Wikidata's Lexeme.
Special:ApiSandbox – API queries generator for Lingualibre wikipage and wikibase contents. An alternative to SPARQL queries.

References

Code snippets

Fetch data using SPARQL

LinguaLibre data can be fetched using various coding languages such as Python, Javascript, R and others, returning JSON or other formats.

For code snippet in your language : open query.wikidata.org (WikiData Query Service, aka WDQS), run your SPARQL query, click "Code" : a pop up window appears with various implementations.
For downloading data, click "Download".

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)}
);

Merging data

Advanced SPARQL queries with COUNT() and others are often slow (>3secs, sometime >100secs). You are encouraged to do multiple smaller SPARQL queries to then merge their responded data. By example, the complementary Javascript snippet below would help web developers to do so.

// Data from 3 sparql queries.
// Important: One key must be similar in all datasets, here: 'qid'
const langs = [{ qid: 'Q209', label: 'Breton', iso:'bre' }, { qid: 'Q34', label: 'Marathi', iso: 'mar' }],
    speakersFemales = [{ qid: 'Q209', genderF: 3, recordsF: 60 }, { qid: 'Q34', genderF: 21, recordsF:5046 }],
    speakersMales = [{ qid: 'Q209', genderM: 7, recordsM: 218 }, { qid: 'Q34', genderM: 85, recordsM:32964 }];
// Toolbox for merging data by same id
var merge2ArraysBySameId = function(arr1,arr2,id1){
	return arr1.map( item1 => { 
  	var identical = arr2.find(obj => obj[id1] === item1[id1]); 
  	return Object.assign(identical, item1) 
  } );
}
// Mergings
var step1 = merge2ArraysBySameId(langs,speakersFemales,'qid');
var step2 = merge2ArraysBySameId(step1,speakersMales,'qid');
alert(JSON.stringify(step2))

Lingualibre's ground

✅ Is Language (Q4) → List existing languages with: LL Qid, ISO 639-3, Name

SELECT ?lang ?iso ?langLabel
WHERE {
  ?lang prop:P2 entity:Q4 . # Filter: P2 'instance of' is Q4 'language or dialect'.
  ?lang prop:P13 ?iso .     # Assign value: P13 'ISO-639-3' into ?iso.
  # Add label to each variable used.
  # ?lang now has twin variable ?langLabel
  SERVICE wikibase:label {
    bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
  } 
}

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✅ Is Speaker (Q3) → List existing speakers

SELECT ?speaker ?speakerLabel
WHERE {
  ?speaker prop:P2 entity:Q3 .  # Filter: P2 'instance of' is Q3 'speaker'.
  # Add labels to each variable used.
  SERVICE wikibase:label {
    bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
  } 
}

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✅ Is Language level (Q5) → List existing levels

SELECT ?item ?itemLabel
WHERE {
  ?item prop:P2 entity:Q5    # Filter: P2 'instance of' is Q5 'language level'.
  # Add labels to each variable used.
  SERVICE wikibase:label {
    bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
  } 
}

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✅ Is Sex or Gender (Q7) → List existing sexes or genders

SELECT ?item ?itemLabel
WHERE {
  ?item prop:P2 entity:Q7    # Filter: P2 'instance of' is Q7 'sex or gender'.
  # Add labels to each variable used.
  SERVICE wikibase:label {
    bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
  } 
}

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Speaker

✅🇶 Speaker name(s) → Speaker Qid(s)

SELECT ?speakerName ?speakerId
WHERE {
  VALUES ?speakerName { "Yug" "VIGNERON" } # Assign value: one or multiple values
  # note: need to comment BIND
  BIND ( STRLANG(?speakerName, "en") AS ?speakerLabel )
  # Grammatical note: ';' allows to chain actions 
  ?speakerId prop:P2 entity:Q3 ;        # Filter: P2 'instance of' is Q3 'speaker'.
             rdfs:label ?speakerLabel . # Filter by value: label equal ?speakerLabel's value
}

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✅🇶 Speaker Qid (Q445757) → Speaker data, all

# Get Q445757 (User:SangeetaRH‎)'s data
SELECT ?anyProperty ?anyValue ?anyValueLabel
WHERE {
  entity:Q445757 ?anyProperty ?anyValue .  # Filter: of Q445757 'SangeetaRH‎', get any property and any values
  # Add labels
  SERVICE wikibase:label {
    bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
  } 
}

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✅🇶 Speaker Qid (Q445757) → Speaker languages (P4)

SELECT ?languages ?languagesLabel
WHERE {
  entity:Q445757 prop:P4 ?languages . # Assign value: for Q445757 'SangeetaRH‎', P4 'language' into ?languages
  # Add labels
  SERVICE wikibase:label {
    bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
  } 
}

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✅ Speaker Qid (Q445757) + Language LL Qid (Q34) → List records

SELECT ?audio ?audioLabel
WHERE {
  ?audio prop:P5 entity:Q445757 .   # Filter: P5 Speaker is Q445757 User:SangeetaRH‎
  ?audio prop:P4 entity:Q34 .   # Filter: P4 language is Q34 Marathi
  # Add labels
  SERVICE wikibase:label {
    bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
  } 
}

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✅ Speaker Qid (Q445757) + Language LL Qid (Q34) → Count records

SELECT ?language ?speakerLabel (COUNT(?audio) AS ?audio)
WHERE {
  VALUES ?language { entity:Q34 }  # Assign value: Q34 'Marathi' into ?language  
  VALUES ?speaker { entity:Q445757 }   # Assign value: Q445757 'SangeetaRH‎' into ?speaker 
  ?audio prop:P5 ?speaker .   # Filter: P5 'speaker' is Q445757 'SangeetaRH‎'
  ?audio prop:P4 ?language .  # Filter: P4 'language' is Q34 'Marathi'
  ?audio prop:P2 entity:Q2 .  # Filter: P2 'instance of' is Q2 'record'
  # Add labels
  SERVICE wikibase:label {bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en"} 
}
GROUP BY ?language ?speakerLabel  # Sorting first groups per language and speaker

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✅ Is Speaker (Q3) → List of accounts and associated speakers

SELECT ?linkedUser ?speakerLabel (SUBSTR(STR(?speaker),32) AS ?speakerQid)
WHERE {
  ?speaker prop:P2 entity:Q3 .  # Filter: P2 'instance of' is Q3 'speaker'.
  ?speaker prop:P11 ?linkedUser . # Assign value: P11 'linked users' into ?linkedUser.
  # Add labels
  SERVICE wikibase:label {
    bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
  } 
} ORDER BY DESC (?speakerLabel)

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Languages

✅🇶 Language name(s) in English → Language LL Qid(s)

SELECT ?languageId ?languageName
WHERE {
  VALUES ?languageName { "Marathi" "Atikamekw" "Central Bikol" } # Target values
  ?languageId 
    prop:P2 entity:Q4 ;          # Filter: P2 'instance of' is Q4 'language' AND
    rdfs:label ?languageLabel .  # Assign value label into ?languageLabel
  BIND ( STRLANG(?languageName, "en") AS ?languageLabel ) # Bind filter by English
}

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✅ Language ISO-639-3 → Language LL Qid(s), Wikidata Qid, Label

SELECT ?langIso ?langId ?langWDQid ?langIdLabel
WHERE {
  VALUES ?langIso { "mar" "bre" "bcl" "atj" "ban" } # Target ISO values
  ?langId 
    prop:P2 entity:Q4 ;    # Filter: P2 'instance of' is Q4 'language' AND
    prop:P13 ?langIso ;    # Assign value: P13 'Iso-639-3' to ?langIso AND
    prop:P12 ?langWDQid .  # Assign value: P12 'Iso-639-3' to ?langWDQid
  # Labels
  SERVICE wikibase:label {bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en"}
}

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✅ Language LL Qid (Q34) → Count items

SELECT ?language (COUNT(?item) AS ?items) WHERE {
  VALUES ?language { entity:Q34 }
  ?item prop:P4 ?language .
}
GROUP BY ?language

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✅ Language LL Qid (Q34) → Count records

SELECT ?language (COUNT(?audio) AS ?audios) WHERE {
  VALUES ?language { entity:Q34 }
  ?audio prop:P2 entity:Q2 .  # Filter: P2 'instance of' is Q2 'record'
  ?audio prop:P4 ?language .  # Filter: P4 'language' is Q34 'Marathi'
}
GROUP BY ?language

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✅🇶 Language LL Qid (Q34) → Count unique words, audios, ratio

SELECT ?language 
  (COUNT(DISTINCT(?itemLabel)) AS ?words)  # Count and assign value to ?Audio
  (COUNT(?audio) as ?audios) 
  (ROUND(10000*?words/?audios)/100 AS ?percent)
WHERE {
  VALUES ?language { entity:Q34 }
  ?audio prop:P4 ?language .  # Filter: P4 'language' is Q34 'Marathi'
  ?audio prop:P2 entity:Q2 .  # Filter: P2 'instance of' is Q2 'record'
  ?audio rdfs:label ?itemLabel. # Assign value: label to ?itemLabel
}
GROUP BY ?language

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✅ Language LL Qid (Q34) → Count speakers

SELECT ?language (COUNT(?audio) AS ?audio) WHERE {
  VALUES ?language { entity:Q34 }
  ?audio prop:P2 entity:Q3 .  # P2 'instance of' is Q3 'speaker'
  ?audio prop:P4 ?language .  # P4 'language' is Q34 'Marathi'
}
GROUP BY ?language

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✅ Language LL Qid (Q209) → List 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 Q34 'Marathi'
  # Labels
  SERVICE wikibase:label {
    bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
  } 
}

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✅ Language LL Qid (Q209) → Language data, all

'Case: Get for language Q209 'Breton' all its data.

SELECT * WHERE {
  # Given Q209 'Breton language', get all properties and values
  entity:Q209 ?predicate ?object .
}

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✅ Language LL Qid (Q209) → Language data, core

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 LL Qid (Q209) → Property P13 (ISO 639-3)

SELECT * WHERE {
  entity:Q209 prop:P13 ?iso . # Assign value : Q209 'Breton', P13 'ISO 639-3', value into ?iso
}

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✅ Languages → List existing languages' iso-639-3

SELECT * WHERE {
  ?lang prop:P13 ?code .
}

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✅🇶 Language WD Qid → Language data, core

SELECT * WHERE {
  ?lang prop:P12 "Q12107" .  # Filter: P12 'Wikidata id' is Wikidata's "Q12107"
  ?lang ?predicate ?object . # 
  ?predicate rdf:type owl:DatatypeProperty .
}

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Records

✅ Record LL Qid (Q500) → Record data, all

SELECT * WHERE {
  entity:Q500 ?predicate ?object .
  # ?predicate rdf:type owl:DatatypeProperty .
}

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✅ Record LL Qid (Q500) → Record data, core

SELECT * WHERE {
  entity:Q500 ?predicate ?object .
  ?predicate rdf:type owl:DatatypeProperty .
}

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✅ Language (Q22) + String → Record LL Qid(s)

SELECT ?itemLabel ?item
WHERE { 
  ?item prop:P2 entity:Q2 .    # Filter: P2 'instance of' Q3 'record'
  ?item prop:P4 entity:Q22 .    # Filter: P4 'language' is Q22 'English'
  ?item rdfs:label ?itemLabel. # Assign value: label to ?itemLabel
  FILTER(CONTAINS(?itemLabel, "apple"@en)). 
} limit 10

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✅ Language (Q209) + Speaker (Q584098) + String (ni) → Record LL Qid

Case: Search in Breton language, with speaker 'ThonyVezbe',

SELECT ?audio ?urlPointer
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'
  ?audio prop:P3 ?urlPointer.
}

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✅ Language (Q21) + Speaker (Q137047) + String → URL pointer, filename

SELECT ?word ?audio ?urlPointer
  (replace(replace(replace(substr(STR(?urlPointer),52),"%20","_"),"%28","("),"%29",")") AS ?filename)
WHERE {
  ?audio prop:P4 entity:Q21 .      # Filter: P4 'language' is Q21 'French'
  ?audio prop:P5 entity:Q137047 .  # Filter: P5 'speaker' is Q137047 'Justforoc'
  ?audio rdfs:label ?word .        # Assign value: label to ?word
  #Filter: ?word with 'pomme' in French, non case-sensitive
  FILTER REGEX(?word, "pomme"@fr, "i" ) .
  ?audio prop:P3 ?urlPointer
}

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Heavy queries

Queries below are too large to run on LinguaLibre's wikipages, or even on Lingualibre Query Service).
To do: do smaller sub-queries, with one COUNT() function.

❌ Languages → Name, Wikidata Qid, LLQid, Iso-639-3, and genders

Query

Result

SELECT ?languageQidLabel ?wdQid ?languageQid ?isoCode 
(COUNT(DISTINCT(?record)) AS ?recordCount)
(COUNT(DISTINCT(?speakerLangM)) AS ?speakerM) 
(COUNT(DISTINCT(?speakerLangF)) AS ?speakerF)
wWHERE{
  ?record prop:P2 entity:Q2 .     # Filter: items where P2 'instance of' is Q2 'record'
  ?record prop:P4 ?languageQid .  # Assign value: P4 'language' into variable ?language
  ?languageQid prop:P12 ?wdQid .  # Assign value: P12 'wikidata id' into variable ?WD
  ?languageQid prop:P13 ?isoCode. # Assign value: P13 'iso639-3' into ?isoCode
  
  #?record prop:P5 ?speakerQidM .   # Assign value: P5 'speaker' into variable ?speakerQidM
  #?speakerQidM prop:P8 entity:Q16 .   # Filter: P8 'sex or gender' is Q16 'male
  #?speakerQidM prop:P4 ?speakerLangM .  # Assign value: P4 'language' into variable ?spakerLangM
  
  ?record prop:P5 ?speakerQidF .   # Assign value: P5 'speaker' into variable ?speakerQidF
  ?speakerQidF prop:P8 entity:Q17 .   # Filter: P8 'sex or gender' is Q17 'female
  ?speakerQidF prop:P4 ?speakerLangF .  # Assign value: P4 'language' into variable ?spakerLangF
  
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en" . } 
}
GROUP BY ?languageQidLabel ?languageQid ?wdQid ?isoCode
ORDER BY DESC(?recordCount)

languageQidLabel	wdQid	languageQid	isoCode	recordCount	speakerM	speakerF
French	Q150	Q21	fra	16761	0	18
Marathi	Q1571	Q34	mar	13153	0	5
Polish	Q809	Q298	pol	11686	0	1
…

❌ Is Language (Q3) → list all languages with number of unique words and speakers

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

Others

(These old queries are not assessed yet.)

✅ Language (Q209) → Record, speaker's language level

select ?record ?recordLabel ?speakerLabel ?languageLabel ?languageLevelLabel
where {
  ?record prop:P2 entity:Q2   # Filter: P2 'instance of' is Q2 'record' AND P4
	; prop:P4 entity:Q209 .   # AND P4 'language' is Q209 'Breton'
  ?record prop:P5 ?speaker .  # Assign value: record's P5 'speaker' into ?speaker
  ?record prop:P4 ?language . # Assign value: record's P4 'language' into ?language
  
  ?speaker llp:P4 ?languageStatement .    # P4 'language'
  ?languageStatement llv:P4 ?language .   # P4 'language'
  ?languageStatement llq:P16 ?languageLevel . # P16 'language level'
  # Adds labels
  SERVICE wikibase:label {
    bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
  } 
} ORDER BY ?languageLabel ?languageLevelLabel

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✅ Language (Q34) → Records of Wikidata concepts with WD Qid (P12)

Those items were proposed to Lingualibre's recorder at step 3 via a SPARQL query upon Wikidata, so those words have WD's Qids.

SELECT ?languageLabel ?recordLabel ?record ?wid
WHERE {
  ?record prop:P2 entity:Q2 .    # Filter: P2 'instance of' is Q2 'record'
  ?record prop:P4 entity:Q34 .  # Filter: P4 'language' is Q34 'Marathi'
  ?record prop:P4 ?language .    # Assign value: record's P4 'language' to variable ?language
  ?record prop:P12 ?wid .        # Assign value: record's P12 'wikidata id' to variable ?wid
  # Add labels capability
  SERVICE wikibase:label {
    bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
  } 
}

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✅ Records → Filter by date: late 2018

SELECT
(COUNT(DISTINCT ?speaker) AS ?speakers)
(COUNT(DISTINCT ?record) AS ?records)
WHERE {
  ?record prop:P2 entity:Q2 .
  ?record prop:P6 ?date .
  ?record prop:P5 ?speaker .
  # Filters:
  FILTER(?date >= "2018-07-01T00:00:00Z"^^xsd:dateTime)
  FILTER(?date < "2019-01-01T00:00:00Z"^^xsd:dateTime)
}

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Template	{{Speakers category}} • {{Recommended lists}} • {{To iso 639-2}} • {{To iso 639-3}} • {{Userbox-records}} • {{Bot steps}}
Audio files	How to create a frequency list? • Convert files formats • Denoise files with SoX • Rename and mass rename
Bots	Help:Bots • LinguaLibre:Bot • Help:Log in to Lingua Libre with Pywikibot • Lingua Libre Bot (gh) • Olafbot • PamputtBot • Dragons Bot (gh)
MediaWiki	MediaWiki: Help:Documentation opérationelle Mediawiki • Help:Database structure • Help:CSS • Help:Rename • Help:OAuth • LinguaLibre:User rights (rate limit) • Module:Lingua Libre record & {{Lingua Libre record}} • JS scripts: MediaWiki:Common.js • LastAudios.js • SoundLibrary.js • ItemsSugar.js • LexemeQueriesGenerator.js (pad) • Sparql2data.js (pad) • LanguagesGallery.js (pad) • Gadgets: Gadget-LinguaImporter.js • Gadget-Demo.js • Gadget-RecentNonAudio.js • LiLiZip.js
Queries	Help:APIs • Help:SPARQL • SPARQL (intermediate) (stub) • SPARQL for lexemes (stub) • SPARQL for maintenance • Lingualibre:Wikidata (stub) • Help:SPARQL (HAL)
Reuses	Help:Download datasets • Help:Embed audio in HTML
Unstable & tests	Help:SPARQL/test
Categories	Category:Technical reports

Base

Useful elements

Tools

References

Code snippets

Fetch data using SPARQL

Merging data

Lingualibre's ground

✅ Is Language (Q4) → List existing languages with: LL Qid, ISO 639-3, Name

✅ Is Speaker (Q3) → List existing speakers

✅ Is Language level (Q5) → List existing levels

✅ Is Sex or Gender (Q7) → List existing sexes or genders

Speaker

✅🇶 Speaker name(s) → Speaker Qid(s)

✅🇶 Speaker Qid (Q445757) → Speaker data, all

✅🇶 Speaker Qid (Q445757) → Speaker languages (P4)

✅ Speaker Qid (Q445757) + Language LL Qid (Q34) → List records

✅ Speaker Qid (Q445757) + Language LL Qid (Q34) → Count records

✅ Is Speaker (Q3) → List of accounts and associated speakers

Languages

✅🇶 Language name(s) in English → Language LL Qid(s)

✅ Language ISO-639-3 → Language LL Qid(s), Wikidata Qid, Label

✅ Language LL Qid (Q34) → Count items

✅ Language LL Qid (Q34) → Count records

✅🇶 Language LL Qid (Q34) → Count unique words, audios, ratio

✅ Language LL Qid (Q34) → Count speakers

✅ Language LL Qid (Q209) → List speakers

✅ Language LL Qid (Q209) → Language data, all

✅ Language LL Qid (Q209) → Language data, core

✅ Language LL Qid (Q209) → Property P13 (ISO 639-3)

✅ Languages → List existing languages' iso-639-3

✅🇶 Language WD Qid → Language data, core

Records

✅ Record LL Qid (Q500) → Record data, all

✅ Record LL Qid (Q500) → Record data, core

✅ Language (Q22) + String → Record LL Qid(s)

✅ Language (Q209) + Speaker (Q584098) + String (ni) → Record LL Qid

✅ Language (Q21) + Speaker (Q137047) + String → URL pointer, filename

Heavy queries

❌ Languages → Name, Wikidata Qid, LLQid, Iso-639-3, and genders

❌ Is Language (Q3) → list all languages with number of unique words and speakers

Others

✅ Language (Q209) → Record, speaker's language level

✅ Language (Q34) → Records of Wikidata concepts with WD Qid (P12)

✅ Records → Filter by date: late 2018

See also