Submissions:2015/An ambitious Wikidata tutorial


 * Title: An ambitious Wikidata tutorial


 * Theme: Technology


 * Type of submission: Workshop


 * Author: Emw


 * E-mail address: emw.wiki@gmail.com


 * Username: Emw


 * Affiliation:

This tutorial will be an ambitious survey of Wikidata for hackers and humans, as taught by an experienced volunteer.
 * Abstract:

Attendees will learn:


 * Why Wikidata matters. What is this thing?  Has anybody done anything with it?  We'll briefly cover what kinds of projects people have built atop Wikidata in not only Wikipedia, but also and external projects for biology, history, libraries, archives, museums and beyond.  Get ideas for how Wikidata can be used in your project.


 * Wikidata vocabulary and conventions. Learn the lingo: statements, items, properties, qualifiers, references.  In addition to covering those elements of the Wikidata data model, I will also introduce you to useful everyday properties and basic membership properties like instance of (P31), subclass of (P279), and part of (P361).


 * How to edit Wikidata. This isn't your grandpa's wiki.  Wikidata's editing interface is not a hairball of prose and square brackets like the classic Wikipedia, nor a more familiar WSIWYG like VisualEditor.  Wikidata's editing UI is casual-user-friendly but has some novel features.  We will collaboratively edit an example Wikidata item to get you up to speed.


 * How to find things and where to get help: Handy tricks in the search UI, where different community discussions occur, how to do background research on Wikidata topics, how to reach Wikidata developers and the director.


 * Advanced querying. Find all humans.  Find all genes.  Find all municipalities in the United States with a population between 5,000 and 20,000.  Find all European nobility who died in a hunting accident.  Find all kinds of footwear.


 * Programming with the Wikidata API. A quick demo using Python.


 * How to use the Wikidata RDF and OWL exports. Explore official data dumps in applications for the Semantic Web.


 * The promise and peril of ontologies. What was the cause of the American Civil War?  Can a cat be a mayor?  Is Harry Potter a human?  Meaning matters, and bit of linguistic precision in Wikidata can open opportunities for automatically answering common, non-trivial questions.


 * What Wikidata means for Wikipedia and the future of human knowledge.


 * Length of presentation: 60 minutes


 * Special schedule requests: Saturday or Sunday, please


 * Will you attend WikiConference USA if your submission is not accepted?: Yes

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