Add wikidata as datasource

[capital-G]

Wikidata con provide us some content sensitive data. Maybe we can use SPARQL for this, see https://query.wikidata.org/ , which is a favourite of mine. https://www.wikidata.org/wiki/Wikidata:Tools/For_programmers could also be interesting

[vin-ni]

Looks good. Not many alternatives to SPARQL anyway, right?

[capital-G]

Trigger workflow

We can use a Python script cell which

• [ ] queries for matching data/articles
• [ ] extract the data
• [ ] speaks on stream (or store the text as a stream variable)

Access data

• [ ] Get (at least) 2 events per day from e.g. https://de.wikipedia.org/wiki/26._April - either manually or via wikidata/sparql

  #events in time and place
  SELECT DISTINCT ?item ?itemLabel ?distance
  WHERE 
  {
  ?item wdt:P580 "2011-04-26"^^xsd:dateTime.
       # Search by Nearest
  SERVICE wikibase:around { 
    ?place wdt:P625 ?location . 
    bd:serviceParam wikibase:center "Point(52.4024875340491 13.9993762209831)"^^geo:wktLiteral .
    bd:serviceParam wikibase:radius "100" . 
    bd:serviceParam wikibase:distance ?distance .
  }
  SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". } # Helps get the label in your language, if not, then en language
  }
  ORDER BY ?distance

• [ ] Crawl article via URL and parse/extract its intro - use REST API, e.g. https://de.wikipedia.org/w/rest.php/v1/page/ISO-Container and parse it via e.g. https://github.com/5j9/wikitextparser or pandoc, see https://github.com/JessicaTegner/pypandoc.

[capital-G]

For sake of sanity: hardcoded json with links to "artikel des tages"

[vin-ni]

This will need https://github.com/Gencaster/gencaster/issues/381