#Wikidata - using #Wikipedia categories for best effect

Many people who study Wikipedia find its categories relevant. They certainly provide a great start. Once there were only 13 Eritrean nationals known to Wikidata. Adding thirteen more by hand did not take long. This was done by adding people mentioned on categories like the "Category:Eritrean people stubs".

That was cool. The latest tool by Magnus called Widar makes it even easy to make Wikidata aware of Eritreans. It is just a matter of selecting the right category and making sure that only Eritrean people are selected.

As you can see in the query part of Widar, you have to watch out for the fluff that is endemic in categories; the lists and even a few US ambassadors to Eritrea.

Now that it is possible to populate Wikidata from categories from any and all Wikipedias with "Widar", studying Wikipedia may go to the next level because studying Wikipedia updates Wikidata and it improves the use of Wikipedia in return. With more statements on more items automated disambiguation becomes ever more powerful. With more statements "Reasonator" becomes more informative. With more statements the Wikipedias that include info boxes will be more informative as well.

The one reason why Wikidata might not be used in this way is  because the data acquisition changes the subject that is being studied. Then again, as the reflection of the information in Wikipedia improves, the conclusion based on the queries performed on Wikidata will be increasingly informative. Even better, the information will always be near real time and it reflects any and all Wikipedias.
Thanks,
     GerardM

#Wikidata - people known to be #African citizens

#Diversity is more than caring about the male female ratio. #Discrimination is not only about the colour of your skin versus the colour of my skin. As I have been working on the concept cloud of Nelson Mandela, I have been adding labels for many South Africans. I then realised that I could add their nationality. it proved not to be hard to add more than 1% of the people known to be South African.

Given the large number of English speaking people in South Africa, it is obvious that the number of people known to be citizens of Eritrea or Ivory Coast will be even less. Add only one person as a citizen of these countries and you have added more than 1%.
Thanks,
      GerardM