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I'm currently working on a project that involves dataviz & mapping, and one of the things I've discovered along the way was WikiData's SPARQL query engine. Min

I'm currently working on a project that involves dataviz & mapping, and one of the things I've discovered along the way was WikiData's SPARQL query engine. Mind = blown. You can basically ask Wiki(pedia) almost anything you can think of (including the largest city in a bounding box) using the same query language. Examples: - Largest cities per country (https://w.wiki/UC4 https://w.wiki/UC4) - Cities connected by the European route E40 (https://w.wiki/74E https://w.wiki/74E) - Streets in France named after a woman (https://w.wiki/34K https://w.wiki/34K)

philshem 6y ago
You can even request a query from the community: https://wikidata.org/wiki/Wikidata:Request_a_query https://wikidata.org/wiki/Wikidata:Request_a_query
- ronyfadel 6y ago
  That's handy! To be honest, SPARQL is definitely not easy to use.
  - leipert 6y ago
    I have worked with SPARQL professionally. The biggest problem: Quality if the data. Yes it is amazing, but if stuff is missing annotations, it is hard to get meaningful results.
    - Delk 6y ago
      Lots of things in the semantic web and RDF realm suffer from that. The technologies and ideas have been largely built under the (probably implicit) assumption that the data can be made perfect, but it never is.
    - chaps 6y ago
      This was my experience also. It's bad enough that it's effectively useless and requires extensive validation.
  - melvinroest 6y ago
    For people that want an easy tutorial (series, 60 min.) on SPARQL, I found one here [1]. It definitely helped me. [1] https://www.youtube.com/watch?v=nbUYrs_wWto&list=PLaa8QYrMzXNnzY-4YVM5507iZuESWVcnU https://www.youtube.com/watch?v=nbUYrs_wWto&list=PLaa8QYrMzX...