News about Scholia:

"it looks like we will have a working replacement in time before the WDQS instance with all the Wikidata triples in a single SPARQL endpoint goes down, likely in a week or so"

"scholia.toolforge.org has seen ridiculous abuse by scrapers"

"So, plenty of work is left to be done in the next few days. But we are getting close. So, please give qlever.scholia.wiki a go, and let us know your observations. "

https://chem-bla-ics.linkedchemistry.info/2025/12/31/rescuing-scholia-2-getting-close.html

#scholia #wikidata #wikibase

new blog: "Rescuing Scholia: will we make it in time?" https://doi.org/10.59350/yh369-rr787 https://chem-bla-ics.linkedchemistry.info/2025/12/08/rescuing-scholia.html

"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

new blog: "Rescuing Scholia: will we make it in time?" https://doi.org/10.59350/yh369-rr787 https://chem-bla-ics.linkedchemistry.info/2025/12/08/rescuing-scholia.html

"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

"QLever is the fastest engine overall, but is slower for distinct answers. Virtuoso is fast but diverges the most by far mostly due to several known causes. MillenniumDB and Blazegraph are the slowest. MillenniumDB is fast on simple queries, but slow on complex queries." https://ceur-ws.org/Vol-4108/paper3.pdf

#wikidata #sparql #scholia

"QLever is the fastest engine overall, but is slower for distinct answers. Virtuoso is fast but diverges the most by far mostly due to several known causes. MillenniumDB and Blazegraph are the slowest. MillenniumDB is fast on simple queries, but slow on complex queries." https://ceur-ws.org/Vol-4108/paper3.pdf

#wikidata #sparql #scholia

#ClimateKG will be used for the #IPCC #AR6 corpus of 7 main reports of 10,000 pages. For corpus browsing, republishing, community enrichment. The constructed knowledge graph in Wikibase/MediaWiki allows browsing using the familiar #MediaWiki interface with #Wikidata enhancements like infoboxes, and #scholia like interfaces https://scholia.toolforge.org/ | Republishing is intended for sharing or reviewing search results on climate topics | Enrichment is for data scientists to make use of reports >>>

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 https://www.wikidata.org/wiki/Wikidata:Scholia/Events/2025_11

#wikidata #scholia

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 https://www.wikidata.org/wiki/Wikidata:Scholia/Events/2025_11

#wikidata #scholia