1 00:00:00,279 --> 00:00:04,227 Welcome to the Wikidata Query Service tutorial for beginners!

2 00:00:04,807 --> 00:00:10,802 In this tutorial, you will learn what is Wikidata, SPARQL, and WDQS, in short;

3 00:00:10,848 --> 00:00:13,766 that you don’t need to know SPARQL to run queries,

4 00:00:13,806 --> 00:00:17,281 how to save query results and there will be an exercise.

5 00:00:18,497 --> 00:00:19,971 Wikidata Query Service/WDQS

6 00:00:19,994 --> 00:00:23,513 is a powerful tool to provide insight into Wikidata's content.

7 00:00:23,628 --> 00:00:25,483 After you enter a SPARQL query,

8 00:00:25,515 --> 00:00:29,069 it runs it against Wikidata’s dataset and shows you the result.

9 00:00:29,099 --> 00:00:31,259 Using the tool you can find information,

10 00:00:31,286 --> 00:00:34,776 for example, an infographic of the largest cities in the world,

11 00:00:34,822 --> 00:00:38,488 or names of people who won both Nobel prize and the Academy award!

12 00:00:38,517 --> 00:00:42,110 There are only two of them, George Bernard Shaw and Bob Dylan.

13 00:00:44,494 --> 00:00:47,481 If you have never heard of Wikidata and SPARQL before,

14 00:00:47,501 --> 00:00:49,922 here’s a short explanation of those terms:

15 00:00:49,950 --> 00:00:53,186 Wikidata is a free international knowledge database.

16 00:00:53,219 --> 00:00:58,053 It contains millions of statements, such as “the capital of Canada is Ottawa”,

17 00:00:58,084 --> 00:01:04,199 or “gold has a melting point of 1,064.18 degrees Celsius”.

18 00:01:04,229 --> 00:01:08,231 Items are uniquely identified by a Q followed by a number.

19 00:01:09,815 --> 00:01:12,227 SPARQL is a language to formulate questions

20 00:01:12,256 --> 00:01:14,265 or queries for knowledge databases.

21 00:01:14,310 --> 00:01:17,571 With the right database, a SPARQL query could answer questions like

22 00:01:17,621 --> 00:01:20,232 “which character was portrayed by the most actors?”

23 00:01:20,273 --> 00:01:23,783 or “which authors’ works entered the public domain this year?”

24 00:01:24,000 --> 00:01:26,470 You can find in the description of the video

25 00:01:26,500 --> 00:01:29,558 this cheat sheet with simple explanations for the code.

26 00:01:31,000 --> 00:01:33,550 You don’t have to use SPARQL to query Wikidata.

27 00:01:33,575 --> 00:01:35,832 To run a query look at query examples–

28 00:01:35,879 --> 00:01:38,768 you can learn a lot by looking at the constructions used.

29 00:01:38,987 --> 00:01:40,871 Find them under the “Examples” button,

30 00:01:40,915 --> 00:01:42,223 just press play.

31 00:01:42,486 --> 00:01:44,271 Even very experienced Wikidatans

32 00:01:44,304 --> 00:01:47,545 just modify existing queries to find the information they want.

33 00:01:48,000 --> 00:01:52,774 You can run queries using examples, query helper, and even request a query.

34 00:01:53,000 --> 00:01:57,524 To run a simple Wikidata query using the examples, we modified the examples.

35 00:01:58,000 --> 00:02:00,308 We saw the humans born in NYC.

36 00:02:00,750 --> 00:02:04,470 By modifying in the Query Helper the location to Kenya

37 00:02:04,531 --> 00:02:06,560 or Wales, for example,

38 00:02:06,578 --> 00:02:10,261 we got the names of humans that Wikidata knows about.

39 00:02:19,000 --> 00:02:23,000 To save the query, you can tweet or email the URL link.

40 00:02:24,817 --> 00:02:26,803 And now, the exercise:

41 00:02:27,000 --> 00:02:32,118 Run a simple query using the examples at query.wikidata.org.

42 00:02:32,150 --> 00:02:34,652 Thank you so much for joining!