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Wikidata:Scholia/Events/2025 12

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Scholia Hackathon
Event details
Date:13-14 & 20-21 December 2025
Where:Virtual
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The Scholia team is hosting a hackathon in December 2025. It follows a similar one organized the previous month. For the outcomes so far, see #Outcomes.

A scholarly article comparing different SPARQL setups for querying Wikidata
An overview about the Wikidata Query Service Split

Focus

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The main goal is to get Scholia to run all of its queries via QLever, with these tickets aimed at documenting what remains to be done.

See this blog post for some background.

Venue

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This is a virtual event. In case of questions, please contact Daniel Mietchen.

Mode of collaboration

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Things to work on

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7 January 2026 WDQS Graph Split Day

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Tracked in Phabricator
Task T411410
Decommission WDQS full graph endpoint (wdqs2009)
Background: On 7 January 2026, the Wikimedia Foundation is scheduled to finalize the Wikidata Query Service Graph Split by switching off the last server that serves the full Wikidata graph via the legacy Blazegraph setup. The main aim of this hackathon is to ensure that Scholia can run beyond that date without depending on this legacy setup.

For questions to the Wikimedia Foundation, contact @BTracy-WMF: who maintains Wikidata:SPARQL query service/WDQS backend update

More details at

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Scholia panels that do not work properly at https://qlever.scholia.wiki/ should be prioritized and the associated SPARQL queries adjusted at https://github.com/ad-freiburg/scholia/tree/qlever on a per-query basis. See also the following issues that group query problems observed when exploring Scholia by profile type.

Documentation of QLever-based Wikidata querying

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x-post: items incorrectly in scholarly graph

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Elsewhere Peter Patel-Schneider says, "The problem is that Wikidata items that have any of the scholarly articles classes as a P31 value end up in the scholarly graph, and are not visible in the main graph. I ran into this problem when I was extracting scholarly items for my benchmarking..."

Benchmarking

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scholia and snapquery

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  1. https://cr.bitplan.com/index.php/Scholia✅
  2. blazegraph jnl file based updating WDQS at RWTH Aachen✅
    1. https://wiki.bitplan.com/index.php/Wikidata_Import_2025-12-13 ✅
    2. https://github.com/WolfgangFahl/get-your-own-wdqs ✅
  3. Issue #2743 backend panel✅
    1. https://scholia.wikidata.dbis.rwth-aachen.de/backend ✅
    2. https://scholia-qlever.wikidata.dbis.rwth-aachen.de/backend ✅
  4. Proposal for lightweight semantification using semantify³
  5. tox.ini for python 3.11 to 3.13
  6. Get your own copy of scholia (general)✅
  7. Get your own copy of scholia (concrete)✅
  8. Get your own copy of scholia startup script✅
  9. CORS issue
  10. snapquery v0.2.4/v0.2.5 release✅
  11. https://nicescholia.wikidata.dbis.rwth-aachen.de/ ✅

scholia query handling

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  1. #76 add branch specifier to github handling✅
  2. #77 query-set github extraction✅
  3. #62 Feature Request: Add Query Text/Specification/Details API Route with Content Negotiation ✅
  4. #46 reorganize scholia domain queries using namespace per aspect

nicescholia prototype

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United States university partnerships

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Following the 2020-2022 United States Library of Congress Program for Cooperative Cataloging project in which many United States universities contributed WikiCite content to Wikidata as documented on Wikidata:WikiProject PCC Wikidata Pilot/Participants, a new round of organized data curation is forming.

Be aware of the institutional interest. Members of that project pinged with invitations to this hackathon - Wikidata_talk:WikiProject_PCC_EMCO_Wikidata_CoP.

Job posting

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Wikimedia Switzerland is hiring a full time Wikimedian in Residence to do WikiCite / Wikidata metadata curation with libraries and University of Zurich!

  • Share link https://www.wikidata.org/wiki/Wikidata:Scholia/Events/2025_12#Job_posting
  • Apply by emailing CV + cover letter to Ilario Valdelli <ivaldelli@wikimedia.ch>
  • Must live in Switzerland in 2026 and be able to work there
  • Apply now to start in early 2026
  • Compensation will follow standard Swiss benchmarks
  • Essentially the WiR must have *good scientific and technical literacy*, with the ability to:
    • Understand research datasets, metadata and infrastructures
    • Model scientific information in Wikidata and other knowledge-graph environments
    • Work with identifiers (ROR, ORCID, DOI)
    • Assess which research outputs are suitable for Wikipedia
    • Communicate effectively with researchers across environmental sciences, engineering, biology, and chemistry

Outcomes

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Participants

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