Hoi,
For me it is simple; I have written an outline for a Wikipedia class [1]. That helps by writing stubs when there is not much there. Similarly you can take any subject found in an newspaper, decide if it is important enough and add items or add labels in Wikidata. Almost any article in a newspaper has things that are of value if only the neighbourhood of a place. I would seek the subjects in Reasonator. When an item is found I would have students add labels.

When used in context with newspapers, I would first do Wikipedia and only then add Wikidata. 

When it is part of a computing class, I would have them construct sentences based on the present values. The point is not beautiful software but having students consider relations in their language.

NB for those who object because of a lack of citations.. Citations become relevant once you have reached a certain threshold. Please do remember that English Wikipedia in its infancy did not have the insistence on sources either. Given the wealth of factoids known in Wikidata typically this can serve as a template for new articles because the statements in Wikidata typically have a well sourced origin.
Thanks,
      GerardM



[1] http://ultimategerardm.blogspot.nl/2017/05/teaching-wikipedia-using-local-news.html

On 3 June 2017 at 19:38, Info WorldUniversity <info@worlduniversityandschool.org> wrote:
Thanks, Ewan, Delyth, Gerard and All, 

Having studied at the University of Edinburgh in the School of Celtic and Scottish Studies, and being familiar with its Professor of Gaelic Wilson McLeod's (http://www.ed.ac.uk/profile/wilson-mcleod - among so many others) focus on regenerating Scots' Gaelic - "energy centers" or schools in cities are one successful approach - I'm curious how to focus Wikidata's structured knowledge in 358 languages to support the generation of all its smallest languages (and indeed all 7,099 living languages re WUaS). In this vein, would there be a way to plan for connecting linguists and anthropologists studying among native speakers (of one language in multiple locations) and all conversing, conceptually in Google group video Hangouts  / Youtube, and then turn this speech into text, and then wiki-structuring sucht data in the smallest languages in Wikidata? 

Am heading from the SF Bay Area to northern California next week to visit a friend who will work on the Hupa Indian reservation in the autumn, and also to Yakima speaking areas in Washington state after this, and would love (on behalf of World University and School too, which donated WUaS to Wikidata in October 2017) to create, conceptually, "Google Hangouts' speech into Wikidata" information structures for regeneration of Celtic (e.g. re these WUaS wiki schools - http://worlduniversity.wikia.com/wiki/Scottish_Gaelic_language and http://worlduniversity.wikia.com/wiki/Cromarty_dialect_of_Scots_language - in the main Languages' wiki page at WUaS - - planned for all 7,099), and all indigenous, and minority languages.  

Will there be a focus at this Celtic Knot conference on this, by any chance? Is there a focus on this already at Wikidata (or Wikimedia)? In what ways could World University and School help focus this? WUaS would seek to create these processes in Wikidata and explicitly for (all) minority languages. 

Best, 
Scott

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On Sat, Jun 3, 2017 at 12:02 AM, Gerard Meijssen <gerard.meijssen@gmail.com> wrote:
Hoi,
Another approach to supporting minority languages in combination with Wikidata is adding labels to the language involved. At a Wikimedia conference I did an experiment with a speaker of a South African language. We used a popular SA politician [1] as an example and added labels to all the statements as they showed as missing in Reasonator [2]. We then looked up another SA politician and Barack Obama. It was really good to see how quickly the effect was felt of adding labels.

When you look at the Reasonator in English, you will notice that a passable text can be generated for people. It is a matter of some programming and something similar can be created in many languages. It is for this reason that I feel that an effort to add labels can have a big impact for two reasons:
* The labels open up existing facts in Wikidata to that language
* It gives an incentive to add items and statements that are particular to the people who speak a language.

Another thought I want to raise is this: when people create a dictionary in a language, it is a tool that first and foremost helps study the language. All the data is not useful, it is not linked and only serves as a lookup function. When a word like "human" is added as a label in Wikidata, it immediately serves all the items.. millions of them. Consider the impact of adding a word like "politician" "psychologist" "town" "Africa" even "Wales". 

When you really want to serve the smaller languages, study them in their Wikipedia format. For many languages, Wikipedia is the biggest corpus on the Internet. Personally I was astounded when I heard years ago that the Bangla Wikipedia is the biggest resource on the Internet for modern Bangla, This is a language with hundreds of millions of speakers, consider the tipping point for a language like Xhosa or Welsh..

I do think that when a high school with children in any country with many missing labels add labels for 4 hours per child, its impact on the usefulness of Wikidata will be huge. There have not been experiments like this so far to my knowledge. Research on Wikipedia has not been kind to anything but English.
Thanks,
      GerardM

[2] when you change the language to the target language, you can add items from within Reasonator.

On 2 June 2017 at 14:08, Jakob Voß <Jakob.Voss@gbv.de> wrote:
Hi Ewan,

Thanks for this interesting event. I just had a conversation with a researcher who wants to create a dictionary for a small language that has no dictionaries. We discussed the use of Wiktionary and Wikidata - it looks very promising, but the current state seems not mature enough at least until "Phase beta" of development:

https://www.wikidata.org/wiki/Wikidata:Wiktionary#Our_plan

Anyway, Wikidata and planned support of Lexemes should be made more public at the event. The current program of Celtic Knot contains nothing about Wikidata and only one talk related to Wiktionary, so it would be great if Léa, Lydia, Daniel or someone else from the development team could give an introduction.

Cheers
Jakob

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