Information Maintainers talk: Something something twenty years open source…

It was back in May, yes, way back when, that Jordan Hale of the Information Maintainers group put the following to me:

I write today to ask if you’d be interested in being our special guest on the next Information Maintainers call … we thought your perspective on working within and maintaining decentralized, small-group systems and development infrastructures would be really rad to hear about. What do you think?

I am a big fan of the Information Maintainers and so I was pretty stoked to be asked. Of course, I jumped at the chance and wrote about “Something something twenty years open source…”

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Color Theory: What’s the deal with the palettes I’m using?

Following a recent conversation, I wanted to write this blog to add some final pieces of context to my current interest in color palettes.

Binary Numbers

The Binary Numbers project was changed earlier this year following Trump’s inauguration. The original was inspired by simple musings on Data as Art. It was updated again in 2014 after the work had stalled due to technical reasons. I increased the complexity of the images, and incorporated Heritage Color Palettes.

But the end of last year and the beginning of this were exhausting. Two months were spent in protest:

But it seems that this alone was not able to tear the wheels off a tanker in Tienanmen Square… and so I decided on something uplifting. For myself, and for the viewer.

Cinema Palettes was a fantastic Twitter account that takes a scene (not necessarily iconic) from a film and analyses the scene’s colors, presenting back to us, the palette used.

I had been following it for a while and I became curious as to what I might be able to do with it in the configuration of my Binary Numbers.

And so from January this year I adapted the Cinema Palettes concept into this work starting with 50 new color palettes.

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Rendition of Mondrian: Composition with Grid 1 from the Museum of Fine Arts Houston, remixed by the Painter Goblin

The Painter Goblin Visits The Museum of Fine Arts, Houston: Top Five

I’m heading to Houston for the first time this Friday, for ten-days. I can’t wait! To fill my time before I go, I thought I’d pay tribute to some of the artwork I might find there. Well, I say me, but I mean, I asked The Painter Goblin to make these pieces for me based on what it could find on wikidata.org. I like what it discovered!

Enjoy!

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Two Cats, by John Singer Sargant and remixed by The Painter Goblin. The original can be seen at The Metropolitan Museum in New York

The Painter Goblin Visits The Met’s Top Ten

Inspired by a Creative Commons (CC) blog the Painter Goblin decided to tackle the top-ten visual artworks at The Met Museum (July 2017).

The blog discusses how folks are using CC search to find works held at The Met. The Painter Goblin has been using Wikidata to similar effect – an exploration – a technique grounded in happenstance to discover and understand art held in the fantastic list of institutions that make it available on the Wikidata/Wikimedia service. With little exception, The Painter Goblin cannot replace the original works but hopes that visually interesting/stunning remixes when they appear inspire others to indulge in their own discovery and works of creation.

Let’s see what our elusive basement goblin did with the top-ten listed above…

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Salvador Dali, Set for 'Bacchanale'

The Painter Goblin: Part 5, And Finally…

The work on the Painter Goblin is almost complete for now. The automation of their work is pretty much ironed out with regular tweets happening every night.

A recent favorite:

Maria Krzymuska
Wikidata: https://www.wikidata.org/wiki/Q28727544

I just wanted to round off this series of blogs with some remaining thoughts.

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Starry Night

The Painter Goblin: Part 4, Putting it all together…

Following the previous posts, bringing this all together meant three different applications.

  • paintergoblin.py – creates the images, can be run standalone
  • wikigoblin.py – retrieves data to tweet from the Wikidata SPARQL services
  • twittergoblin.py – tweets for us! Either a random Wikidata image or from am existing Wikidata link

We create Tweetable information using the wikigoblin. We perform the Tweet using twittergoblin. In between the paintergoblin has to create his art!

We’ve seen examples of the images from the original zine.

Persistence of Memory

How do we turn this concept into something real, and automated?

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The Painter Goblin: Part 3, Data Sources

One thing that held the Painter Goblin project back was finding a data source to get images from.

There are potentially hundreds of sources out there, but! The path of least resistance means that:

  • Any source needs either hackable URIs** (uniform resource identifier) or a randomizing function.
  • Ideally, a data source doesn’t link to yet-another-page, e.g. portal like websites to other’s collections.
  • Ideally the data source links directly to an image to download.
  • Data can be easily selected by category, e.g. just paintings, or posters, not just ‘art’.

** A hackable URI is a URI pattern that can be cycled through using computational techniques, even if the underlying data isn’t entirely well-known. E,g, http://example.com/image/0001, http://example.com/image/0002, for subsequent pages, for lack of a more concrete example.

I wanted to explore heritage sources such as Europeana, TROVE, DPLA. I struggled to search these effectively though, and struggled to see how I might automate using them. I recognise they have APIs. I’ll revisit them in the future as I look to expand the Painter Goblin’s corpus.

Enter Wikidata.

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