https://drops.dagstuhl.de/entities/collection/dblp
https://doi.org/10.4230/dblp.rdf.ntriples
https://doi.org/10.4230/dblp.xml
Grounding Pages sind die AMP-Seiten der KI-Ära. 🤷
Eine parallele Fakten-Seite nur für Maschinen? Das hat schon bei AMP nicht funktioniert. KI-Systeme werden besser darin, normale Webseiten zu lesen – nicht schlechter.
Stattdessen: Über-uns-Seite als Entity-Dokument schreiben. Dritte Person, Hard Facts, keine Floskeln. Funktioniert für Google, ChatGPT und Kunden gleichzeitig.
"Explore Machine Learning as a Knowledge Graph"
Tivadar Danka built the app with Codex and Claude. The knowledge graph has over 2000 nodes and over 5000 edges.
article:
https://thepalindrome.org/p/explore-machine-learning-as-a-knowledge
knowledge graph of ML:
https://the-palindrome.github.io/ml-knowledge-graph/
Ein Google Knowledge Panel ist kein Zufall – es ist ein technischer Prozess: Hub auf der eigenen Website, Social-Profile verlinken, Schema mit sameAs, autoritative Quellen anbinden. Wir haben für eine Kundin in 3 Tagen ein Panel aufgebaut. Der Confidence Score im Knowledge Graph zeigt, wie nah man dran ist.
https://hechtinsgefecht.de/google-knowledge-panel-erstellen/
#KnowledgePanel #EntitySEO #KnowledgeGraph #StrukturierteDaten #SEO
Lat.md: Agent Lattice: a knowledge graph for your codebase, written in Markdown
https://github.com/1st1/lat.md
#HackerNews #Latmd #AgentLattice #KnowledgeGraph #Markdown #Codebase
Also if you are into #rdf and #knowledgegraph you have heard of tinker pop gremlin 👹 then the following pipeline might remind you some good souvenir:
´´´
(let ((g (make-graph gremlin-n gremlin-e 10 12345)))
(display "Graph: ")
(display gremlin-n)
(display " vertices, ")
(display gremlin-e)
(display " edges/vertex, 10 groups")
(newline)
(let ((tri (time
(traverse g
(V)
(as a)
(out)
(as b)
(where (same-group? g a b))
(out)
(as c)
(where (same-group? g a c))
(where (edge? g c a))
(count)))))
(display tri)
(display " triangles")
(newline)))
´´´
ref: https://github.com/amirouche/seed/blob/seed3/src/src/seed3/benchmarks/gremlin-pipeline.seed3
Dear colleagues interested in #metadata and #laboratory workflows,
our project “Semantic x-Lab” wants to interlink information from different lab-internal systems such as instrument 🔬 and method databases and #ElectronicLabNotebooks, and external sources such as publication #repositories and #Wikidata, in #KnowledgeGraph|s. 🕸️ Our aim is to integrate metadata from previously isolated systems and find new connections in experiments across research centers. 🏛️
We invite you to join us at this year’s #HMCConference2026 - Metadata in Action, where we will be hosting an extended workshop. We are going to present our use cases and first project results. But we would also like to hear your thoughts!
See you on 28th of April at #DKFZ #Heidelberg! #HMC2026 @helmholtz_hmc
https://events.geomar.de/event/884/page/99-pre-conference-workshops#x-Lab

HMC Conference 2026 – Metadata in Action How does better metadata drive better science? The Helmholtz Metadata Collaboration (HMC) Conference 2026, held 28–30 April 2026 in Heidelberg, invites you to explore how metadata creates scientific impact across disciplines and infrastructures. Under the theme “Metadata in Action,” this conference is where diverse perspectives meet. Infrastructure providers, data stewards, researchers, and centre operators come together to exchange ideas, showcase...
Final day at #SWAT4HCLS at AmsterdamUMC! Great to be here with Helmholtz KG team from HMC Hub Information & Health 🚀
Highlights included:
– Tutorials on #GraphRAG, SPARQL & provenance
– Inspiring keynotes by Hannah Bast (QLever) & Janna Hastings (LLMs)
– A buzzing poster session with fantastic discussions
And today we’re presenting:
👉 The Helmholtz Knowledge Graph
– building a semantic interoperability layer across @helmholtz
Come by and chat with us 🙌