Finally on fediverse! Join me on @ktk@social.netlabs.org

Have to confess, love seeing NSF pushing a SPARQL endpoint! Check out the "query" tab at okn.us/ If you are new to SPARQL, check out the interactive tutorial at semantechs.co.uk/#courses nsf.gov/tip/updates/nsf-laun…

I don't know how I missed this! If you work with RDF, be sure to check out: github.com/pchampin/sophia-c… From the repo: sop aims to be a swiss-army knife for processing RDF and Linked Data on the command line. This has some very nice feature like: sop parse examples/social.ttl ! query 'PREFIX foaf: <xmlns.com/foaf/0.1/> CONSTRUCT { ?p foaf:name ?n } WHERE { ?p foaf:name ?n }' ! serialize -f ttl To query a local file with SPARQL. It has much much more, you really want to check this out. Shout out to Pierre-Antoine Champin and @linkedktk and the other developers! Thanks for this!

📊 Michael Rauch delivered an insightful session on Creating RDF Knowledge Graphs from Structured Data, demonstrating how mapping languages transform structured data into powerful knowledge graphs. #CDL25 Joining us tomorrow? — secure your place here 👉 bit.ly/47TN7ks #CDL25 #SemanticWeb #RDF #KnowledgeGraphs #LinkedData

Super proud to share a new QLever milestone. We loaded one trillion triples on a single AMD Ryzen 9 machine with 16 cores and 128 GB RAM 🚀 Index size is 6.5TB and the dataset runs even with less memory. Dataset: qlever.dev/one-trillion/ #RDF #SPARQL #KnowledgeGraphs

My work here is truly done. Nobody with intellectual integrity can still believe that pure scaling will get us to AGI. GPT-5 may be a moderate quantitative improvement (and it may be cheaper) but it still fails in all the same qualitative ways as its predecessors, on chess, on reasoning, in vision; even sometimes on counting and basic math. Hallucinations linger. Dozens of shots on goal (Grok, Claude, Gemini) etc have invariably faced the same problems. That’s exactly what it means to hit a wall, and exactly the set of obstacles I described in 2022. No hypothesis has ever been given more benefit of the doubt, nor more funding. Pure scaling simply isn’t the path to AGI. Attention was not all we needed. All I am saying, is give neurosymbolic AI with explicit world models a chance. 🫳 🎤

Our paper is finally published. It's an honor to work together with all, both from @univ_indonesia and WU Vienna.

How close is every building 🏠 in Switzerland to the nearest public transport stop? 🚆 With QLever and some clean RDF data, this is easy. Magdalena and I show it in our new demo, crazy fast, super visual. 🎥 piped.video/gnocVIoHVKk?si=Vlv1… #SpatialAnalytics #KnowledgeGraphs #OpenData

Proud to announce our second venture! We teamed up with the makers of the incredibly fast and scalable RDF triplestore QLever, to provide commercial support and services under QLeverize. If you have hard graph problems, let’s talk. linkedin.com/pulse/announcin…

WIUI is on a roll here with these explainers

A very nice talk by Ora Lassila on semantic web and AI, problems with LLMs, and comparing RDF with labeled property graphs:

"#RDF does not scale" From the @iswc_conf keynode by @oralassila

QLever is incredibly powerful. After converting all @DANS_knaw_nwo metadata into the Croissant ML knowledge graph, we finally began to understand our data. For example, we can now identify which epochs the coins in the archaeological @dataverseorg instance belong to.

Enjoying watching Adrian Gschwend @linkedktk present on langium.org/ and github.com/ad-freiburg/qleve… at Dagstuhl.

Delighted to see DCAT3 now a full W3C Rec. Congrats to all concerned @alegonbel @dr_shorthair @p_w @AndreaPere9o w3.org/TR/2024/REC-vocab-dca…

Nice to see Swiss Stadler trains in California. Welcome to the 21st century ;)

Hey #RDF twitter! Has anyone moved forward on some kind of git for triples? I find myself wanting that, ideally in #RDF4J, but a system description would help already. @Miel_vds @linkedktk @RubenVerborgh

It obviously took much longer than the announced month, but the mentioned solution has finally been released: ontogen.io