Scholia

Scholia is a Wikidata-based tool to visualize linked data around articles, books, topics, authors, organizations, and more

Scholia boosted:
2026-02-09

hi #fediverse, the QLever database got another performance boost, and we highly appreciate to hear your feedback and experience.

So, please visit qlever.scholia.wiki/ and browse around and tell us what you like and not like, if there are things that are not working, etc

Thanks for your support!

2026-02-06

hi #fediverse, the QLever database got another performance boost, and we highly appreciate to hear your feedback and experience.

So, please visit qlever.scholia.wiki/ and browse around and tell us what you like and not like, if there are things that are not working, etc

Thanks for your support!

2026-02-05

@lukasfx very interesing! How does this translate to the RDF/SPARQL interface?

2026-01-18

There will be changes in the week of January 20th 2026 regarding the WDQS graph split and sunsetting of the legacy service. There is a qlever.scholia.wiki/ mirror running with QLever as backend with the full Wikidata content. This mirror is part of an evaluation of alternatives to Blazegraph.

#wikidata #scholia #qlever

Screenshot of scholia.toolforge.org with the message in a yellow box like in the post. It also shows a bit more of the Scholia frontpage, with that Scholia is about, and a few examples.
2025-12-30

@djoerd yeah, people can scroll through it. @wikidata just has a lot of knowledge about nature, culture, etc.

It seems your ego info page was enriched a bit more, making the relevant items more linked to others, giving even more information :)

2025-12-30

we have moved closer to having the option to switch to a #QLever backend. Beta testers can assist by exploring the interim QLever-backed Scholia instance: qlever.scholia.wiki/

Any issues can reported here (we appreciate it!): github.com/ad-freiburg/scholia

#wikidata #sparql

Scholia boosted:
Egon Willighagenegonw@social.edu.nl
2025-12-08

new blog: "Rescuing Scholia: will we make it in time?" doi.org/10.59350/yh369-rr787 chem-bla-ics.linkedchemistry.i

"What started out in 2016 on Twitter became a (small) award winning decade long collaborative project. Unfortunately, the future is not clear. We are at odds if it will survice the growth of Wikidata and in particularly the SPARQL graph split."

#wikidata #scholia #openscience

2025-12-06

two high profile retractions this week:

- "Safety Evaluation and Risk Assessment of the Herbicide Roundup and Its Active Ingredient, Glyphosate, for Humans" scholia.toolforge.org/retracti doi.org/10.1006/RTPH.1999.1371
- "The economic commitment of climate change" scholia.toolforge.org/retracti doi.org/10.1038/S41586-024-072

2025-11-19
2025-11-09

it takes quite a bit of effort to update all the SPARQL queries (we have more than 300) to accommodate for the RDF graph split of @wikidata

Want to help? Check out wikidata.org/wiki/Wikidata:Sch

#wikidata #scholia

2025-11-08

@stuartyeates @librerli can you please file that as bug report (if you did not already did so)?

2025-11-02

@ainali, thanks for the Scholia shout out in the live stream!

(oh, and plz let us know if we should have a /politician/ aspect and if so, what panels you would except on it)

2025-11-01
Scholia boosted:
2025-10-11

Interestingly, this forward local clustering coefficient computation on the #Wikidata citation graph is slow on QLever: qlever.cs.uni-freiburg.de/wiki (timeout) but works fast on WDQS query-legacy-full.wikidata.org

Scholia boosted:
2025-10-08
Scholia boosted:
Jj M Ḥtpjjmhtp
2025-09-16

@egonw @wikidata @wdscholia Cut y-axis labels and incorrectly color inverted author images – are these two bugs already tracked?

screenshot from a Scholia webpage with cut y-axis number labelsscreenshot from a Scholia webpage with incorrectly color inverted author images
2025-09-16

@jjmhtp @egonw @wikidata the rendering here is done by widgets created for the Wikidata Query Service. I would expect someone noticed this before.

Client Info

Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst