DROPS

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.

https://hechtinsgefecht.de/ueber-uns-seite-entity-hub/

#EntitySEO #GEO #SEO #KnowledgeGraph

Grounding Pages? So wird deine Über-uns-Seite zum Entity-Dokument 🏗️

Grounding Pages sind Overengineering. Wie du deine Über-uns-Seite so schreibst, dass Google und KI-Systeme deine Marke als Entität erkennen – ohne Parallelseiten.

HECHT INS GEFECHT

"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/

#research #machineLearning #knowledgeGraph

Explore Machine Learning as a Knowledge Graph

And see how everything connects

The Palindrome

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

Google Knowledge Panel erstellen: Dein ultimativer Guide 🌟

Erfahre, wie du ein Google Knowledge Panel erstellen kannst! Steigere deine Sichtbarkeit und Glaubwürdigkeit online mit unseren Tipps und Strategien. Jetzt entdecken!

HECHT INS GEFECHT
Engineering Ghosts in the Machine: Digital Personalities (draft) This chapter explores the development of “ghosts in the machine,” or digital copies of perso... https://transhumanity.net/engineering-ghosts-in-the-machine-digital-personalities/ #PostSapiens #knowledgegraph #graphdatabase #research #chatgpt #ethics #ssiva #book #icom #oped #agi
Engineering Ghosts in the Machine: Digital Personalities

(draft) This chapter explores the development of “ghosts in the machine,” or digital copies of personalities, by leveraging cognitive architectures, graph databases, generative AI, and all the reco…

transhumanity.net
🚀 Oh joy, yet another "revolutionary" tool promising to turn your tangled codebase into a pristine knowledge graph using... Markdown? 🤯 Because, naturally, what everyone needs for maintaining a chaotic project is a markdown-fueled PowerPoint presentation masquerading as innovation. 🤡
https://github.com/1st1/lat.md #revolutionarytools #markdown #knowledgegraph #codinghumor #projectmanagement #HackerNews #ngated
GitHub - 1st1/lat.md: Agent Lattice: a knowledge graph for your codebase, written in markdown.

Agent Lattice: a knowledge graph for your codebase, written in markdown. - 1st1/lat.md

GitHub

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

GitHub - 1st1/lat.md: Agent Lattice: a knowledge graph for your codebase, written in markdown.

Agent Lattice: a knowledge graph for your codebase, written in markdown. - 1st1/lat.md

GitHub

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

#scheme #graphdb

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

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...

GEOMAR CEM (Indico)

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 🙌

@swat4hcls
#KnowledgeGraph #Helmholtz