Structured Data on Commons has enabled us to better describe the contents of the millions of files that have been uploaded, harnessing the power of Wikidata. Wikimedia Sverige has been working on adding structured data statements to Wiki Loves Monuments photos from all around the world, which both makes them easier to discover and enables the community to better understand the impact and diversity of the competition.

I will give a short overview of this project and the recent developments, explaining our workflow, our plans for the future and how the community can get involved. Our common goal is for every WLM photo to be enriched with relevant structured data, so that the photographers' work can become even more visible, useful and interesting!

A panel discussion to brainstorm about a sustainable and resilient future of Wikidata's key volunteer-built tools.

Many everyday edits and contributions to Wikidata are powered not by Wikidata’s own editing interface, but by an ecosystem of very diverse software tools which are designed and maintained by external parties.

Quite often, individual Wikimedia volunteer developers create and maintain such software in their free time (examples include tools like QuickStatements and the Wikidata reconciliation service). In some cases, tools are part of larger projects that receive occasional funding (examples include OpenRefine, GLAMpipe, the Wikimedia Commons mobile app, the ISA Tool, and many others).

The resulting Wikidata tool ecosystem is extremely rich and interesting, but also notoriously vulnerable. Development on such tools can easily stall when maintainers don’t have (the privilege of) free time (anymore), move on, and/or when temporary funding runs out.

This panel discussion and group brainstorm wants to look at this situation with a practical and solution-oriented mindset. What actions can we take as a community to make this tool ecosystem more resilient? Does the Movement Strategy process offer tools for taking up this challenge? Which tools should be developed centrally to ensure the core practices of the content communities, and how can we simultaneously encourage lightweight experiments in the community?

Panelists:

• Sandra Fauconnier (moderator; ISA Tool; OpenRefine)
• Susanna Ånäs (co-moderator; Wikimaps; GLAMpipe; Wikidocumentaries)
• Kat Thornton (Science Stories)
• Lucie-Aimée Kaffee (ArticlePlaceholder extension; Scribe)
• Antonin Delpeuch (OpenRefine; Wikidata reconciliation service)
• Alicia Fagerving (Wikimedia Sverige)
• Birgit Müller (Wikimedia Foundation)
• Quim Gil (Wikimedia Foundation)

Image credit: Jan Maszkowski (1794-1865) - The Artist's Children (1844). National Museum in Wrocław, Public Domain

Discussion about Wiki Loves Monuments presentations

Swedish is one of the largest languages in Wikidata's lexicographical namespace, with over 35 thousands lexemes so far and a small but very active community. How did a language with fewer speakers than German, Spanish or Bengali manage to reach this threshold?

In my presentation, I'm going to give an insight into how I work to create and edit large numbers of Swedish lexemes, without relying on bot imports from external sources. The presentation is going to have a very practical focus, demonstrating the various tools the Wikidata community has created and the workflows I've developed.

Discussion of the languages sessions

Wikimedia Sverige is working in partnership with the Nationalmuseum and the National Historical Museums to explore and use the power of Wikidata together with the museums' authority data files. As Wikidata is positioning itself as the web's central authority hub, this is an exciting example of how GLAMs can do practical work with it.
The aim of our project is to develop and evaluate methods of linking museums' authority data to Wikidata, with the ultimate goal of making it easier for researchers and other users to find, understand and analyze relevant information distributed across different museum collections.
The project includes visualisations of relations between historical persons to show the potential of otherwise abstract large amounts of data. Another aim is to equip the museums' staff with the skills and tools to actively engage with the Wikimedia projects, and in the long run increase the knowledge about Wikidata and its possibilities among GLAMs in Sweden.