w_SearchByLabel(string, mode='inlabel', langs="", langsorder='', instanceof="", Pproperty="", debug=FALSE)
w_SearchByOccupation(Qoc, mode=c('default','count','wikipedias'), langsorder='', wikilangs='', nlimit=10000, debug=FALSE)
w_isInstanceOf(entity_list, instanceof='', nlimit=50000, debug=FALSE)
w_Wikipedias(entity_list, wikilangs="", instanceof='', nlimit=1500, debug=FALSE)
w_isValid(entity_list, nlimit=50000, debug=FALSE)
w_Property(entity_list, Pproperty, includeQ=FALSE, langsorder='en', nlimit=10000, debug=FALSE)
w_SearchByAuthority(Pauthority, langsorder='', instanceof='', nlimit=10000, debug=FALSE)
Pauthority = Authority Database Property in Wikidata
w_EntityInfo(entity_list, mode='default', langsorder='', wikilangs="", nlimit=MW_LIMIT, debug=FALSE)
m_Opensearch(string, project='en.wikipedia.org', profile="engine_autoselect", redirects="resolve")
m_reqMediaWiki(titles, mode=c('wikidataEntity','redirects','pagePrimaryImage','pageFiles'), project='en.wikipedia.org', redirects=TRUE, exclude_ext='svg|webp|xcf')
m_Pageviews(article, start, end, project="en.wikipedia.org", access="all-access", agent="user", granularity="monthly", redirects=FALSE)
m_XtoolsInfo(article, infotype=c("articleinfo", "prose", "links"), project="en.wikipedia.org", redirects=FALSE)
v_AutoSuggest(author) : obtains viafID
v_Search(CQL_Query, mode=c('default', 'anyField', 'allmainHeadingEl', 'allNames', 'allPersonalNames', 'allTitle'), schema=c('brief', 'JSON')) : obtains clusters records
v_GetRecord(viafid, record_format='viaf.json'): retrieve a cluster record
v_Extract(viaf, info, source=NULL)
To install and load the updated version of the wikiTools package simply run the following commands:
install.packages("wikiTools")
library(wikiTools)
Exact search in Label or exact search in AltLabel (case sensitive and diacritics)
Optional: limit by instanceof Wikidata class (Qxx).
Optional: return information of some properties (Pproperties, Pxxx).
df <- w_SearchByLabel(string='Iranzo', langsorder='es|en') df <- w_SearchByLabel(string='Iranzo', langsorder='es|en', instanceof = 'Q5') df <- w_SearchByLabel(string='Iranzo', langsorder='es|en', instanceof = 'Q5|Q101352') df <- w_SearchByLabel(string='Iranzo', langsorder='es|en', instanceof = 'Q5', Pproperty = 'P21|P569|P570')
df <- w_SearchByLabel(string='Iranzo', lang='en', langsorder='es|en', mode='startswith') df <- w_SearchByLabel(string='Iranzo', lang='en', langsorder='es|en', instanceof = 'Q5', mode='startswith') df <- w_SearchByLabel(string='Iranzo', lang='en', langsorder='es|en', instanceof = 'Q5|Q101352', mode='startswith') df <- w_SearchByLabel(string='Iranzo', lang='en', langsorder='en', instanceof = 'Q5', Pproperty = 'P21|P569|P570', mode='startswith')
If lang=='' search in any language, else the search is performed only in the language indicated.
df <- w_SearchByLabel(string='Iranzo', langsorder='es|en', mode='inlabel')
Search only in Chinese (Simplified) (language code: zh):
df <- w_SearchByLabel(string='Iranzo', langsorder='zh|es', lang='zh', mode='inlabel')
Optional instanceof and Property
df <- w_SearchByLabel(string='Iranzo', langsorder='es|en', instanceof = 'Q5', mode='inlabel') df <- w_SearchByLabel(string='Iranzo', langsorder='es|en', instanceof = 'Q5|Q101352', mode='inlabel') df <- w_SearchByLabel(string='Iranzo', langsorder='es|en', instanceof = 'Q5', Pproperty = 'P21|P569|P570', mode='inlabel')
l) to use later.df <- w_SearchByLabel(string='Iranzo', langsorder='es|en', mode='inlabel') l <- df$entity
Check if elements in entity_list are instance of a Wikimedia class
df <- w_isInstanceOf(entity_list=l, instanceof='Q5') # Not TRUE df[!df$instanceof_Q5,]
Search for Wikipedia pages in all/some languages
Optional: instanceOF (limit to entities which are instance of a Wikidata class)
df <- w_Wikipedias(entity_list=l) df <- w_Wikipedias(entity_list=l, wikilangs='es|en|fr') df <- w_Wikipedias(entity_list=l, wikilangs='es|en|fr', instanceof="Q5")
Count entities, or get the entities with that occupation, also get Wikipedia pages
Note: depending on connection speed, nlimit parameter musts be adjusted
w_SearchByOccupation(Qoc="Q2306091", mode='count') # "Q2306091" Qoc for Sociologist q <- w_SearchByOccupation(Qoc="Q2306091") l <- q$entity
lw <- w_SearchByOccupation(Qoc='Q2306091', mode='wikipedias') # lw=dataframe # We can obtain the same information using previous function w_Wikipedias: lw2 <- w_Wikipedias(entity_list=l) # Verifying: all(lw['Q10320558','pages'] == lw2['Q10320558','pages']) # Verifying: all(sort(strsplit(lw['Q9061', 'pages'], '|', fixed = T)[[1]]) == sort(strsplit(lw2['Q9061', 'pages'], '|', fixed = T)[[1]]))
Check if the Wikidata entities are valid. A entity is valid if it has a label or has a description. If one entity exists but is not valid, is possible that it has a redirection to other entity, in that case, the redirection is obtained. Other entities may have existed in the past, but they are currently deleted.
l2 <- append(l, c("Q115637688", "Q105660123")) # Note: adding two new entities v <- w_isValid(l2) # Not valid v[!v$valid,]
Obtain properties of entity_list.
p <- w_Property(l, Pproperty = 'P21|P569|P214', langsorder = 'es|en')
Search for Wikidata entities that have an identifier in the Wikidata authority property "Pauthority".
Optional: instanceOf
Example: Pauthority=P4439 (has identifier in the Museo Nacional Centro de Arte Reina Sofía)
mncars <- w_SearchByAuthority(Pauthority="P4439", langsorder = 'es|en') # 1286 [human, groups, etc.] mncarsQ5 <- w_SearchByAuthority(Pauthority="P4439", langsorder = 'es|en', instanceof = 'Q5') # 1280 # Entities are not 'human' (Q5) [see entityDescription column): mncars[!(mncars$entity %in% mncarsQ5$entity),] # not instance of Q5.
Get some properties of a Wikidata entity.
df <- w_EntityInfo(entity_list='Q134644', langsorder='es|en') df <- w_EntityInfo(entity_list='Q134644', langsorder='es|en', wikilangs='es|en|fr') df <- w_EntityInfo(c('Q270510', 'Q1675466', 'Q24871'), mode='film', langsorder='es|en', wikilangs='es|en|fr') # Search string 'abba' inlabel w <- w_SearchByLabel('abba', mode='inlabel', langsorder = '', instanceof = 'Q5') df <- w_EntityInfo(w$entity, langsorder='en', wikilangs='en|es|fr', debug='info') # Search 3D films w <- w_SearchByInstanceof(instanceof='Q229390', langsorder = 'en|es', debug = 'info') df <- w_EntityInfo(w$entity, mode="film", langsorder='en', wikilangs='en', debug='info')
Search articles that contains any words (note: it is better to use a large string)
Some search profiles:
df <- m_Opensearch(string='Duque de Alba', project='es.wikipedia.org', profile="engine_autoselect", redirects="resolve") df <- m_Opensearch(string='Duque de Alba', project='es.wikipedia.org', profile="strict") df <- m_Opensearch(string='Duque de Alba', project='es.wikipedia.org', profile="fuzzy")
Checks if titles are in a Wikimedia project and returns the Wikidata entity for them, if they have one.
Note that URLdecode("a%CC%8C") is the letter "a" with the combining caron (ǎ)
df <- m_reqMediaWiki(c('Max Planck', URLdecode("a%CC%8C"), 'Max', 'Cervante', 'humanist'), mode='wikidataEntity', project='en.wikipedia.org')
Obtains the redirections of a page (the page itself can be a redirect to other page).
Returns a vector for each title, in each vector the first element is the destiny, rest are all pages that redirect to it.
a <- m_reqMediaWiki(c('Cervantes', 'Planck', 'Noexiste'), mode='redirects', project='es.wikipedia.org') a
Gets the URL of de Primary image as a URL of Wikimedia pages.
Gets all URL of files inserted in the pages (images, sounds, videos...), using '|' as separator, and excluding some extensions in the exclude_ext parameter.
Both functions automatically resolve redirects (the destiny is the "normalized" column of the data-frame returned).
i <- m_reqMediaWiki(c('Max Planck', URLdecode("a%CC%8C"), 'Max', 'Cervante', 'humanist'), mode='pagePrimaryImage') f <- m_reqMediaWiki(c('Max Planck', URLdecode("a%CC%8C"), 'Max', 'Cervante', 'humanist'), mode='pageFiles', exclude_ext = "svg|webp|xcf")
Gets visits that a page have had in a date interval
Optional: redirects
v <- m_Pageviews(article="Cervantes", start="20230101", end="20230501", project="es.wikipedia.org", granularity="monthly") vv <- m_Pageviews(article="Cervantes", start="20230101", end="20230501", project="es.wikipedia.org", granularity="monthly", redirects=TRUE)
Obtains information (as vector) about an article in the Wikimedia project.
Infotype: articleinfo, prose, links
Optional: redirects
x <- m_XtoolsInfo(article="Cervantes", infotype="articleinfo", project="es.wikipedia.org") xx <- m_XtoolsInfo(article="Cervantes", infotype="articleinfo", project="es.wikipedia.org", redirects=TRUE) y <- m_XtoolsInfo(article="Miguel de Cervantes", infotype="links", project="es.wikipedia.org") yy <- m_XtoolsInfo(article="Cervantes", infotype="links", project="es.wikipedia.org", redirects=TRUE)
Gets all information (articleinfo, prose, links).
z <- m_XtoolsInfo(article="Miguel de Cervantes", infotype="all", project="es.wikipedia.org") zz <- m_XtoolsInfo(article="Cervantes", infotype="all", project="es.wikipedia.org", redirects=TRUE)
Searches authors. Sometimes the same author appears several times, under a different name).
Return a data-frame.
Important: The API returns a maximum of 10 records.
v_AutoSuggest('Iranzo') v_AutoSuggest('Esparza, María') v_AutoSuggest('Escobar, Modesto') # Note that four rows are returned, but only two different viafids.
Search using CQL_Query
# Auxiliary function that extracts specific information from each record. showVIAF <- function(r) { i <- 0 for (j in r) { i <- i+1 # Get viaf record viaf <- j$record$recordData viafid <- viaf$viafID cat(paste0("-----------\nRecord #",i,"\nSources:\n")) print(v_Extract(viaf, info='sources')) cat("Gender: "); print(v_Extract(viaf, info='gender')) cat("Dates: ") ; print(v_Extract(viaf, info='dates')) cat('Occupations: '); print(v_Extract(viaf, info='occupations')) cat("Titles: "); print(v_Extract(viaf, info='titles')) cat("Wikipedias: "); print(v_Extract(viaf, info='wikipedias')) } }
Search in any field (cql.any)
Operator is "=": so search all terms and only those ones:
CQL_Query <- 'cql.any = "García Iranzo, Juan"' r <- v_Search(CQL_Query) # r contains complete VIAF records (sometimes seen as a "cluster record", # which is unified by combining records from many libraries around the world) showVIAF(r)
Shortcut
r <- v_Search("García Iranzo, Juan", mode="anyField") showVIAF(r)
Search in 1xx, 4xx, 5xx fields of MARC record (local.names)
Operator is "all": search all terms
CQL_Query <- 'local.names all "Figuerola"' r <- v_Search(CQL_Query)
Shortcut
r2 <- v_Search("Figuerola", mode="allNames") cat(length(r), length(r2))
Records found exceeds the maximum per request API limit : 250
CQL_Query <- 'local.names all "Bolero"' r <- v_Search(CQL_Query)
Search in 100, 400, 500 fields of MARC record (local.personalNames)
Operator is "all": search all terms
CQL_Query <- 'local.personalNames all "Modesto Escobar"' r <- v_Search(CQL_Query) showVIAF(r)
v_Search mode=allmainHeadingEl: 1xx fields of MARC record:
r <- v_Search("Escobar Mercado, Modesto", mode='allmainHeadingEl')
Search in Titles
CQL_Query <- 'local.title all "Los pronósticos electorales con encuestas"' r <- v_Search(CQL_Query) showVIAF(r)
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