User:Bnstlv/queering-wikidataQueerying

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Anaïs Berck
Her Website She adopted this artictic name 3 years ago. Her work is part of Constant, BXL. Examines text in every formИ какво е даа създаваш литература, взимайки дигиталните технологии предвид.

Първият ѝ пероект е подобно на hypertext novel. Започната е да се детоксикира от технологичните индтрументи и ида изледва света (природата) около нея.

A research project, how can we print publishing, what is even a book? They did many experiments. Books:

- Branding Sweetgrass
- The Nutmeg's curse

Online exhibition during the pandemic

- https://www.anaisberck.be/when-the-organic-tree-would-love-to-meet-the-data-tree/ 
- https://di.versions.space/when-organic-trees-meet-the-data-tree/index.html

Project 2: during a residency in Madrid, a book called "Walk along the trees of Madrid.

- Andrey Markov, their project is based on his algorithm 
- easy text-generating algorithm
- http://paseo-por-arboles.algoliterarypublishing.net/en

The project is based on python to generate the text and then they use Pajed.js to generate the pdf.

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Zi
- tried to create a presentation without slides (during the pandemic, and then joined the Wikimedia community)

Homepage of Wikipedia - when you scroll down there is a whole infrastructure built around it.

Wikidata is the "youngest" structure among all.

Tim Berners Lee tried to create the Semantic web. It's his second try after the WWW. To make the internet a place for meaningful content.

Wikidata makes it easy to link pieces of content together. Now it is described as a "knowledge base".
Humans and non-humans are helping out within the Wikidata to do the checking, sourcing, etc. Wikipedia is both readable content for humans and computers alike.

You can contribute to the topics you are interested in via Wikidata. For example, bonsai.

Structure of a Wikidata page:

• Items (new or existing pages) - what is worth entering wikidata and what is not? If you enter something very specific it is likely to be deleted. They want to keep it useful for the general public.
• Tools
• Statements
• Identifiers

Content gap - for example, the LGBTQ is not covered almost at all. Participation gap - SPARQL is a programming language; a semantic query language for databases.

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WRITING EXERCISE

1. Step 1: Describe your favourite tree (5 min) My favourite tree is the walnut tree. We used to have a big one in my grandparents' backyard. I loved how it changes with every season. One summer, I remember building (or at least I tried) a small room under its big, leafy branches. It was a hot summer and the tree provided the so-desired shadow and chill. I loved when the fruits (nuts) started to come out of their beds and grow. It was interesting to look at the green nutshell and then break it in order to reach the nut itself.

2. Step 2: Re-write our description as House of Dust - this is a way to compact the first description

 A walnut tree
     in someone's grandparents' backyard
         on a hot summer day
             providing its thick shadow as an escape from the heat
                 and a playground for nature lovers and explorers to grow up.

3. Step 3: Use the python script on the Git repository to generate a new sentence.

  a walnut tree
        providing its thick shadow as an escape from the heat

  a walnut tree
        a playground for nature lovers and explorers to grow up
             IN A COLD, WINDY CLIMATE
                  INHABITED BY ALL RACES OF MEN REPRESENTED WEARING PREDOMINANTLY RED CLOTHING

  a walnut tree
       on a hot summer day
            IN A PLACE WITH BOTH HEAVY RAIN AND BRIGHT SUN
                   INHABITED BY FRIENDS

  a walnut tree
       on a hot summer day
            IN A GREEN, MOSSY TERRAIN
                   INHABITED BY LOVERS

  a walnut tree
       in someone's grandparents' backyard
            BY THE SEA
                   INHABITED BY VARIOUS BIRDS AND FISH