Projekt:Immerwährender Datenlaube-Kalender

Projekt
Projekttitel	Immerwährender Datenlaube-Kalender
Ansprechpartner	DieDatenlaube: Jens Bemme, Christian Erlinger, Matthias Erfurth
Laufzeit	2024...
Kurzbeschreibung
Query-Sammlung

Der Immerwährende Datenlaube-Kalender bietet Queries für die Daten der Gartenlaube und Varianten, die mit 'unseren' Methoden andere Datenbestände und Themen befragen. Wir ergänzen hier. Die Datenlaube ist das Citizen Science-Projekt für offene Kulturdaten der Gartenlaube. Seit 2008 transkribiert und ocr-korrigiert eine wachsende Gemeinschaft in Wikisource diese Illustrierte aus Leipzig, d.h. insgesamt circa 18.500 Artikel des ersten deutschen Massenblatts seit 1853, vorerst bis 1899. Vergleiche den Datenlaube-Kalender für das Jahr 2023.

Viewpoint

Wie können wir Viewpoint für Die Gartenlaube variieren? Vgl. d:User:Jeb/Pesterwitz

n-grams from a random set of publications missing main subjects

by https://www.wikidata.org/w/index.php?title=User:Daniel_Mietchen/Sandbox4URLshortening&oldid=2120236215

This page is used in conjunction with m:Special:UrlShortener as a workaround to https://phabricator.wikimedia.org/T220703 . URL shortening can also be triggered via the MediaWiki API. ANother option for URL shortening is Query Chest.

# Most frequent n-grams from a random set of publications in the Gartenlaube which are missing main subject tags
SELECT 

DISTINCT ?Ngram ?N ?Count ?Length ?Dashes ?Score ?ExamplePub ?ExamplePubTitle

WITH
{ # Generating a list of entities to be analyzed
  SELECT ?Publication
   { 
      SERVICE bd:sample { ?Publication wdt:P1433 wd:Q655617 . bd:serviceParam bd:sample.limit 10000 }   
      FILTER NOT EXISTS { ?Publication wdt:P921 ?Schlagwort. }

   }
} AS %items 
WITH
{ # Preprocessing the titles
  SELECT ?Title ?Publication ?Seeds ?ClearTitleLength
   { 
      INCLUDE %items
      ?Publication wdt:P1476 ?Title.
      BIND (REPLACE(STR(?Title),"[\\.:,;\\[\\]\\?()$]","") AS ?ClearTitle) # remove some frequent special characters, including colons and semicolons
      BIND(STRLEN(?ClearTitle) AS ?ClearTitleLength) 
      FILTER(LANG(?Title)="de") 
      # Basic processing of the titles
      BIND ("::: ::: ::: ::: ::: ::: ::: ::: " AS ?StartCodon)
      BIND (" ;;; ;;; ;;; ;;; ;;; ;;; ;;; ;;;" AS ?StopCodon)
      BIND (LCASE(CONCAT(?StartCodon , # add start codon of colons to assist with processing of n-grams at beginning of title
                            ?ClearTitle, 
                            ?StopCodon)) # add stop codon of semicolons to assist with processing of n-grams at end of title
                     AS ?Seeds )
   }
} AS %titles 
WITH
{ # Generating a list of regexes to look for the NumericValue-th word in a string     
  # Based on https://w.wiki/KG$ by Jura1
  SELECT ?Regex1 ?Regex2 ?Regex3 ?Regex4 ?NumericValue 
    { 
      ?NumberItem wdt:P5176 []; wdt:P1181 ?NumericValue . 
      FILTER( ?NumericValue > 0 ) 
      FILTER( ?NumericValue < 151)
      BIND("^([^ ]+ ){" AS ?RegexStart)
      BIND("}([^ ]+) .*" AS ?RegexEnd)
      BIND( CONCAT( ?RegexStart , STR( ?NumericValue - 1 ), ?RegexEnd ) AS ?Regex1)
      BIND( CONCAT( ?RegexStart , STR( ?NumericValue + 1 ), ?RegexEnd ) AS ?Regex2) 
      BIND( CONCAT( ?RegexStart , STR( ?NumericValue + 3 ), ?RegexEnd ) AS ?Regex3) 
      BIND( CONCAT( ?RegexStart , STR( ?NumericValue + 5 ), ?RegexEnd ) AS ?Regex4) 
    }
} AS %regexes 
WITH
{ # Applying the regexes to the titles to extract ngrams (for n <= 8), and counting occurrences of the ngrams across titles
  SELECT 
    DISTINCT ?Ngram 
    ?N
    (COUNT(DISTINCT ?Title) AS ?Count)
    ?Length
    ?Dashes
    (( ?Count * ?Length * ( (?Dashes +1) / ?N) 
     ) AS ?Score)
    (SAMPLE(DISTINCT ?Publication) AS ?ExamplePub)
      { 
        INCLUDE %regexes
        INCLUDE %titles
        BIND( 
          (CONCAT(
            REPLACE(?Seeds, ?Regex1, "$1"), " ", 
            REPLACE(?Seeds, ?Regex1, "$2"), " ", 
            REPLACE(?Seeds, ?Regex2, "$1"), " ", 
            REPLACE(?Seeds, ?Regex2, "$2"), " ", 
            REPLACE(?Seeds, ?Regex3, "$1"), " ", 
            REPLACE(?Seeds, ?Regex3, "$2"), " ", 
            REPLACE(?Seeds, ?Regex4, "$1"), " ", 
            REPLACE(?Seeds, ?Regex4, "$2")
          )
        ) AS ?NgramCandidate) 
                            
        BIND( 
          (REPLACE
           (REPLACE
            (REPLACE
             (REPLACE
              (STR(?NgramCandidate),"([;:])",""),
              "(^\\s+)",""),
             "(\\s+$)",""),
            "([ ]{2,})"," ")
          ) AS ?Ngram) 

        BIND(STRLEN(?Ngram) AS ?Length) 
        FILTER (?Length > 3 )  
        FILTER (?Length <= ?ClearTitleLength )  

        BIND(STRLEN(REPLACE(?Ngram, "\\S", "")) + 1 as ?N)
        BIND((STRLEN(?Ngram) - STRLEN(REPLACE(?Ngram, "-", "")))  as ?Dashes)
      }
  GROUP BY ?Ngram ?N ?Count ?Length ?Dashes ?Score ?ExamplePub
#   HAVING(?Count > 1)
} AS %ngrams 
WHERE {
  INCLUDE %ngrams 
  # Exclude Ngrams starting or ending with any of a set of blacklisted words
  BIND("(a|and|between|during|for|from|in|of|on|or|the|to|with)" AS ?blacklist)
  BIND( CONCAT( "(^", ?blacklist ,")+( )+") AS ?RegexBlackStart)
  BIND( CONCAT( "( )+(", ?blacklist ,")+$") AS ?RegexBlackEnd)
  FILTER (!REGEX(?Ngram, ?RegexBlackStart))
  FILTER (!REGEX(?Ngram, ?RegexBlackEnd))

#   # Exclude Ngrams too similar to the target
#   FILTER (!CONTAINS(?Ngram, "climate"))
#   FILTER (!CONTAINS(?Ngram, "change"))
          
  ?ExamplePub wdt:P1476 ?ExamplePubTitle.
  FILTER(LANG(?ExamplePubTitle)="de") 
}
GROUP BY ?Ngram ?N ?Count ?Length ?Dashes ?Score ?ExamplePub ?ExamplePubTitle
ORDER BY DESC(?Score) DESC(?Count) DESC(?Length)
LIMIT 200

Try it!