Help
SPARQL (intermediate)
Revision as of 19:54, 22 January 2022 by Yug (talk | contribs) (→Speakers → Map of speakers with recordings)
Help:SPARQL 2 will explore federated queries fetching data from both LinguaguaLibre and Wikidata's endpoints, then Wikidata Lexemes, an emerging source of lexicographic data. The duo can be a solid combo to provide lexicographic and multimedia (audio recordings and images) for either Wikimedia modules or web developers.
Revision as of 19:54, 22 January 2022 by Yug (talk | contribs) (→Speakers → Map of speakers with recordings)
Tools
Lexemes Queries Generator
SPARQL to persitent data
Some SPARQL queries are meaningful but heavy and overly slow. This administrator tool stores or updates the response data on LinguaLibre, within a wikipage. Stored data can then be loaded in <0.1 second. Multiple data can also be merged via a common property if any.
Federated queries
- To query Lingualibre from Wikidata, use
SERVICE <https://lingualibre.org/sparql>
. - To query Wikidata from LinguaLibre, use
SERVICE <https://query.wikidata.org/sparql>
.
Retrieve data of LinguaLibre from Wikidata
To run on WDQS.[1] It lists the existing levels in LinguaLibre.
PREFIX prop: <https://lingualibre.org/prop/direct/>
PREFIX entity: <https://lingualibre.org/entity/>
SELECT * {
SERVICE <https://lingualibre.org/sparql> {
SELECT
?item
?itemLabel
{
?item prop:P2 entity:Q5.
SERVICE wikibase:label { bd:serviceParam wikibase:language "en" }
}
}
}
Retrieve data of Wikidata from LinguaLibre
To run on LLQS.[2]
# [Example to complete]
Notable elements
LinguaLibre endpoint | Wikidata endpoint |
---|---|
|
Languages
✅ Language () → List of LL languages with wd speaker population
✅ Languages → List of LL languages with wikidata dead or extinct status
To run on LLQS.[2]
SELECT
?deadLanguageLinguaLibre
?deadLanguageLinguaLibreLabel
?audios
# List Wikidata dead/extinct languages
WITH {
SELECT DISTINCT ?deadLanguage {
SERVICE <https://query.wikidata.org/sparql> {
{ ?deadLanguage wdt:P31/wdt:P279* wd:Q45762. }
UNION
{ ?deadLanguage wdt:P31/wdt:P279* wd:Q38058796. }
}
}
} AS %deadLanguage
# Compare with LinguaLibre languages, keep when P12 `wikidata` matches
WITH {
SELECT ?deadLanguageLinguaLibre {
INCLUDE %deadLanguage.
BIND(REPLACE(STR(?deadLanguage), '.*/', '') AS ?deadLanguageQid)
?deadLanguageLinguaLibre
prop:P2 entity:Q4;
prop:P12 ?deadLanguageQid.
}
} AS %deadLanguageLinguaLibre
# For those Lingualibre languages, count audios into ?audios
WITH {
SELECT
?deadLanguageLinguaLibre
(COUNT(?audio) AS ?audios)
{
INCLUDE %deadLanguageLinguaLibre.
?audio
prop:P2 entity:Q2;
prop:P4 ?deadLanguageLinguaLibre.
}
GROUP BY ?deadLanguageLinguaLibre
} AS %audios
# What is that ? Back to main scope ? :
{
INCLUDE %deadLanguageLinguaLibre.
OPTIONAL{ INCLUDE %audios. }
SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
ORDER BY DESC(?audios)
|
|
❌ Language (Q34) → Wikidata Qid(s) → Geo-coordinates
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX ll: <https://lingualibre.org/entity/>
PREFIX llt: <https://lingualibre.org/prop/direct/>
PREFIX lltn: <https://lingualibre.org/prop/direct-normalized/>
select distinct ?record ?transcription ?languageLabel ?wdQid ?wdQidLabel ?wdLabel ?coord
where {
?record llt:P2 ll:Q2 . # Filter: P2 'instance of' is Q2 'record'
?record llt:P4 ll:Q34 . # Filter: record's P4 'language' is Q34 'Marathi'
?record llt:P4 ?language . # Assign value: record's P4 'language' to variable ?language
?record llt:P7 ?transcription . # Assign value: record's P7 'transcription' to variable ?transcription
?record lltn:P12 ?wdQid . # Assign value: record's P12 'wikidata id' to variable ?wikidataItem
SERVICE <https://query.wikidata.org/sparql> {
OPTIONAL { ?wdQid wdt:P625 ?coord . } # Assign value: wikidata item's wd:P625 'coordinates' to variable ?coord
OPTIONAL {
?wdQid rdfs:label ?wdLabel . # Assign value: wikidata item's label to variable ?wikidataLabel
FILTER (LANG(?wdLabel) = "en") . # Filter: default language, else English
}
}
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
Result type:record transcription languageLabel wdQid wdQidLabel wdLabel coord Q196212 Tathavade Marathi Q2719024 Q2719024 Tathavade Point(73.74 18.62) Q428904 Jambavade Marathi Q24894740 Q24894740 Jambavade Point(73.85 18.51) Q428900 Dhangavhan Marathi Q24885008 Q24885008 Dhangavhan Point(73.85 18.52) … |
Lexemes
✅ Language (d:Q12107) → List of wd lexemes
Example : Q12107 breton.
✅ Language () → List of wd lexemes with LL audio
✅ Language () → List of wd lexemes with LL audio and wd translation (d:Q150)
✅ Language → List of Wikidata lexemes for Breton (d:Q12107)
To run on WDQS.[1] Source: User:VIGNERON/common.js.
SELECT DISTINCT ?lexemeLabel ?lexeme
WITH {
SELECT ?lexeme ?lexemeLabel ?lexical_category WHERE {
?lexeme a ontolex:LexicalEntry ;
dct:language wd:Q12107 ;
wikibase:lemma ?lexemeLabel .
OPTIONAL {
?lexeme wikibase:lexicalCategory ?lexical_category .
}
}
} AS %results
WHERE {
INCLUDE %results
OPTIONAL {
?lexical_category rdfs:label ?lexical_categoryLabel .
FILTER (LANG(?lexical_categoryLabel) = "en")
}
}
|
Speakers
✅ Speakers → Largest number of languages recorded and known
#Title: Speakers with recordings largest number of languages and known languages
SELECT ?speaker ?speakerLabel ?count ?languages
# Get audios, language, speaker triplet
WITH {
SELECT DISTINCT ?speaker ?language {
?audio prop:P4 ?language;
prop:P5 ?speaker.
}
} AS %speakers
# Get the count of languages per each speaker
WITH {
SELECT ?speaker (COUNT(?speaker) AS ?count) {
INCLUDE %speakers.
}
GROUP BY ?speaker
ORDER BY DESC(?count)
} AS %countOfLanguagesRecordedPerSpeaker
# Get the maximum number of languages per each speaker
WITH {
SELECT (MAX(?count) AS ?maxNumberOfLanguagesRecorded) {
INCLUDE %countOfLanguagesRecordedPerSpeaker.
}
} AS %maxNumberOfLanguagesRecorded
# Get those speakers whose count equals the maximum number of languages
WITH {
SELECT ?speaker ?count {
INCLUDE %countOfLanguagesRecordedPerSpeaker.
INCLUDE %maxNumberOfLanguagesRecorded.
FILTER(?count = ?maxNumberOfLanguagesRecorded).
}
} AS %speakersWithMostNumberOfLanguagesRecorded
# Get the languages of those speakers that have recorded audios in the
# most number of languages
WITH {
SELECT ?speaker (GROUP_CONCAT(?languageLabel; SEPARATOR = ", ") AS ?languages) {
INCLUDE %speakersWithMostNumberOfLanguagesRecorded.
?speaker prop:P4 [
rdfs:label ?languageLabel
]
FILTER(LANG(?languageLabel) = "en").
}
GROUP BY ?speaker
} AS %languagesOfSpeakersWithMostNumberOfLanguagesRecorded
{
INCLUDE %speakersWithMostNumberOfLanguagesRecorded.
INCLUDE %languagesOfSpeakersWithMostNumberOfLanguagesRecorded.
?speaker rdfs:label ?speakerLabel.
FILTER(LANG(?speakerLabel) = "en")
}
|
|
✅ Speakers → Countries with most speakers
SELECT ?country ?continentLabel ?ISO3 ?countryLabel (COUNT(?country) AS ?count)
WITH {
SELECT DISTINCT ?speaker {
?speaker prop:P2 entity:Q3;
}
} AS %speakers
WITH {
SELECT DISTINCT
?speaker
?country
?countryLabel
?ISO3
?continentLabel
{
INCLUDE %speakers.
?speaker prop:P14 ?residence.
# Avoids weird errors.
FILTER(REGEX(?residence, "^Q[0-9]+$"))
BIND(IRI(CONCAT('http://www.wikidata.org/entity/', ?residence)) AS ?residenceId)
# Get country from wikidata
SERVICE <https://query.wikidata.org/sparql> {
?residenceId wdt:P17 ?country.
?country rdfs:label ?countryLabel;
wdt:P298 ?ISO3;
wdt:P30 ?continent.
?continent rdfs:label ?continentLabel.
FILTER(LANG(?countryLabel) = "en").
FILTER(LANG(?continentLabel) = "en").
}
}
} AS %speakersWithCountries
{
INCLUDE %speakersWithCountries.
}
GROUP BY ?country ?continentLabel ?ISO3 ?countryLabel
ORDER BY DESC(?count)
|
|
Speakers → Map of speakers by place
To run on WDQS.[1]
#defaultView:Map
PREFIX ll: <https://lingualibre.org/entity/>
PREFIX llt: <https://lingualibre.org/prop/direct/>
SELECT DISTINCT ?lLabel ?coord WITH {
SELECT ?lLabel ?loc WHERE {
SERVICE <https://lingualibre.org/sparql> {
select DISTINCT ?lLabel ?loc {
SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". }
?l llt:P2 ll:Q3 ;
llt:P14 ?loc .
?record llt:P5 ?l.
FILTER (regex(?loc, '^Q'))
}
}
}
} AS %i
WHERE {
INCLUDE %i
BIND (URI(CONCAT("http://www.wikidata.org/entity/", ?loc)) AS ?locURL)
SERVICE <https://query.wikidata.org/sparql> {
select * {
?locURL wdt:P625 ?coord .
}
}
}
|
|
Speakers → Map of speakers with recordings
To run on WDQS.[1]
#defaultView:Map
# Same can apply to languages :
# Q3→Q4 : items speaker and language
# P14→P12 : items WD location and WD language
# P5→P4 : properties speaker and languages
# P625→P1098 : properties location and population
PREFIX ll: <https://lingualibre.org/entity/>
PREFIX llt: <https://lingualibre.org/prop/direct/>
SELECT DISTINCT ?itemLabel ?wikidata (?info AS ?coordinates) ?records (SAMPLE(?layer) AS ?layer)
# On Lingualibre, get item's info
WITH {
SELECT *
WHERE {
SERVICE <https://lingualibre.org/sparql> { # Commented on LLQS only
SELECT DISTINCT ?itemLabel ?wikidata (COUNT(?record) AS ?records)
{
?item llt:P2 ll:Q3 ;
rdfs:label ?itemLabel;
llt:P14 ?wikidata .
?record llt:P5 ?item .
FILTER (LANG(?itemLabel)='en')
FILTER (regex(?wikidata, '^Q'))
} GROUP BY ?itemLabel ?wikidata
} # Commented on LLQS only
}
} AS %infoWikidataId
# On Wikidata, get the target info
WHERE {
INCLUDE %infoWikidataId
BIND (URI(CONCAT("http://www.wikidata.org/entity/", ?wikidata)) AS ?infoURL)
SERVICE <https://query.wikidata.org/sparql> {
SELECT * {
?infoURL wdt:P625 ?info .
}
}
BIND(
IF(?records < 10, "<10",
IF(?records < 1000, "10-1,000",
IF(?records < 5000, "1k-5k",
IF(?records < 25000, "5k-25k",
IF(?records < 50000, "25k-50k",
">50k")))))
AS ?layer) .
}
GROUP BY ?itemLabel ?wikidata ?info ?records
ORDER BY DESC (?records)
|
itemLabel wikidata coord records layer
नंदिनी रानडे Q1538 Point(73.85 18.51) 991 10-1,000
Luilui6666 Q8646 Point(114.15 22.27) 6198 5k-25k |
References
- ↑ 1.0 1.1 1.2 1.3 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.
- ↑ 2.0 2.1 LinguaLibre Query Service (LLQS) – run SPARQL Queries upon LinguaLibre. Run, test, download the data as json, csv or tsv.