new blog post: "Rescuing @wdscholia #2: getting closer" https://chem-bla-ics.linkedchemistry.info/2025/12/31/rescuing-scholia-2-getting-close.html https://doi.org/10.59350/6t2qh-2f839

"But we are getting close. So, please give qlever.scholia.wiki a go, and let us know your observations. As Linus’s law writes: Given enough eyeballs, all bugs are shallow."

Replying to this post makes it show up in my blog.

#wikidata #sparql #qlever

new blog post: "Rescuing @wdscholia #2: getting closer" https://chem-bla-ics.linkedchemistry.info/2025/12/31/rescuing-scholia-2-getting-close.html https://doi.org/10.59350/6t2qh-2f839

"But we are getting close. So, please give qlever.scholia.wiki a go, and let us know your observations. As Linus’s law writes: Given enough eyeballs, all bugs are shallow."

Replying to this post makes it show up in my blog.

#wikidata #sparql #qlever

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: https://qlever.scholia.wiki/

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

#wikidata #sparql

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: https://qlever.scholia.wiki/

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

#wikidata #sparql

heute Abend (20:00–21:00) im Free Knowledge Habitat: Wikidata Live Querying! wir denken uns gemeinsam interessante SPARQL-Anfragen für Wikidata aus 😊 (kommt zahlreich weil alleine werd ich nicht so viele Ideen haben ) https://pretalx.wikimedia.de/39c3-2025/talk/VTELBK/

#39c3 #Wikimedia #Wikidata #WDQS #SPARQL

"MCP server tools with RDF shapes" https://doi.org/10.37044/osf.io/8qeh5_v1

"In this paper, we present the work we have done during the Japan Biohackathon 2025 about implementing MCP servers supported by RDF data shapes to improve natural language interactions with large RDF datasets using SPARQL." https://index.biohackrxiv.org/2025/12/16/8qeh5.html

#BH25JP #MCP #SPARQL

"MCP server tools with RDF shapes" https://doi.org/10.37044/osf.io/8qeh5_v1

"In this paper, we present the work we have done during the Japan Biohackathon 2025 about implementing MCP servers supported by RDF data shapes to improve natural language interactions with large RDF datasets using SPARQL." https://index.biohackrxiv.org/2025/12/16/8qeh5.html

#BH25JP #MCP #SPARQL

RE: https://social.edu.nl/@tgx_um/115645028833529913

on Monday we have a go/no-go and we really want to go

So, are you considering sign up before Sunday evening!

#ontologies #linkeddata #sparql

🚀 BioSB course "Knowledge Graphs in the Life Sciences” 🚀
Don't miss this exciting opportunity for Life Sciences researchers and data enthusiasts. In just 5 weeks, BioSB will host this course: https://www.dtls.nl/courses/knowledge-graphs-in-the-life-sciences-2026/

📅 January 5–9, 2025
🗺️ Wageningen, NL

💡 Why join?
You’ll learn about:
📍 Semantic knowledge representation ( #RDF, #OWL)
📍 #Ontologies and vocabularies to link and structure data
📍 Drawing inferences across datasets ( #SPARQL)
📍 Integrating Linked (Open) Data with your own research

RE: https://social.edu.nl/@tgx_um/115645028833529913

on Monday we have a go/no-go and we really want to go

So, are you considering sign up before Sunday evening!

#ontologies #linkeddata #sparql

"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

"Mining the potential of knowledge graphs for metadata on training" https://doi.org/10.37044/osf.io/gv2ac_v1

"A dedicated pipeline parses RDF/Turtle dumps, deduplicates entries, and builds rich indexes (keyword, provider, location, date, topic) that power a Model Context Protocol (MCP) server. The MCP offers live and offline search tools—including keyword, provider, location, date, topic, and SPARQL queries" https://index.biohackrxiv.org/2025/11/29/gv2ac.html

#biohackathon #BioHackEU25 #BH25EU #SPARQL #MCP

🚀 BioSB course "Knowledge Graphs in the Life Sciences” 🚀
Don't miss this exciting opportunity for Life Sciences researchers and data enthusiasts. In just 5 weeks, BioSB will host this course: https://www.dtls.nl/courses/knowledge-graphs-in-the-life-sciences-2026/

📅 January 5–9, 2025
🗺️ Wageningen, NL

💡 Why join?
You’ll learn about:
📍 Semantic knowledge representation ( #RDF, #OWL)
📍 #Ontologies and vocabularies to link and structure data
📍 Drawing inferences across datasets ( #SPARQL)
📍 Integrating Linked (Open) Data with your own research

"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