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

Schema-Markup nur für Rich Snippets? Das ist der Ferrari zum Bäcker.

Bei 30+ Audits: "Organization Schema fehlt" war einer der häufigsten Befunde. Der echte Wert liegt in Knowledge-Graph-Kommunikation, LLM-Sichtbarkeit und Entity-Disambiguierung.

Wie Organization Schema, Person Schema und subjectOf strategisch funktionieren:

https://hechtinsgefecht.de/schema-strukturierte-daten/

#SchemaMarkup #SEO #StrukturierteDaten #KnowledgeGraph #SemantischesSEO

Schema-Markup SEO: Knowledge Graph & LLM-Sichtbarkeit 🔗

Schema-Markup geht weit über Rich Snippets hinaus. Organization, Person & subjectOf strategisch nutzen – mit JSON-LD Codebeispiel. 💡

HECHT INS GEFECHT
📣 Save the date! 📅 Kansalliskirjastolla järjestetään torstaina 27.8. 12.00-17.00 Tietämysverkot 2026 - Semanttinen syysseminaari. 🌐🔗 Jos sinua kiinnostavat tietämysverkot (knowledge graphs), linkitetty data, kontrolloidut sanastot, ontologiat tai tiedon yhteentoimivuus, sinua kiinnostaa myös semanttinen syyswebinaari. Lisätietoa myöhemmin!
#yhteentoimivuus #knowledgegraph #linkitettydata

📰 LLMをもっと賢くする:ナレッジグラフ実践入門 (👍 41)

🇬🇧 Practical guide to enhancing LLMs with knowledge graphs, covering enterprise implementation challenges beyond RAG
🇰🇷 RAG을 넘어 지식 그래프로 LLM 강화하기: 엔터프라이즈 구현 과제와 실전 가이드

🔗 https://zenn.dev/knowledge_graph/books/knowledge-graph-llm-guide

#LLM #KnowledgeGraph #Zenn

LLMをもっと賢くする:ナレッジグラフ実践入門

「ChatGPTは賢いのに、なぜ業務では使いにくいのか」。その答えがナレッジグラフにあります。本書は、RAGだけでは解けない問題の正体を明らかにし、ナレッジグラフがLLMに何をもたらすかを、入門から世界の活用事例、実装アーキテクチャ、AI Agentとの統合まで一気通貫で解説しま

Zenn
🔹 RDF.ex 3.0 is out!
The headline feature: the new RDF.Data.Source protocol, following Elixir's Enumerable/Enum pattern for RDF data. Implement a small set of primitives, get a full API for iteration, transformation, navigation, and aggregation - across Descriptions, Graphs, Datasets, and custom implementations.
Plus various other improvements.
Hex: https://hex.pm/packages/rdf
User Guide: https://rdf-elixir.dev/rdf-ex/rdf-data
#RDF #SPARQL #SemanticWeb #LinkedData #KnowledgeGraph #Elixir
rdf

An implementation of RDF for Elixir.

Hex
🔹 Gno is an Elixir library for managing RDF datasets in SPARQL triple stores.
A unified API across Fuseki, Oxigraph, QLever, and GraphDB - with an extensible commit system featuring a middleware pipeline, transactional execution, and automatic rollback.
Ontogen's entire versioning logic is implemented as Gno commit middleware.
Hex: https://hex.pm/packages/gno
User Guide: https://rdf-elixir.dev/gno/
#RDF #SPARQL #SemanticWeb #LinkedData #KnowledgeGraph #Elixir
gno

A unified Elixir API for managing RDF data in SPARQL triple stores.

Hex
🔹 DCAT-R extends W3C DCAT 3 with an intra-service perspective for RDF repositories.
Where DCAT describes what a service looks like from outside, DCAT-R adds vocabulary for how an application organizes its RDF repository internally - graph types, distribution boundaries, directory structures, manifests.
It's designed as a framework for services like Ontogen.
Spec: https://w3id.org/dcatr
Elixir implementation: https://hex.pm/packages/dcatr
#RDF #DCAT #LinkedData #SemanticWeb #KnowledgeGraph
🚀 New releases from the Ontogen and RDF on Elixir ecosystem 🧵
Two new projects and a major update to RDF.ex:
🔹 DCAT-R - a spec + vocabulary for describing RDF repositories
🔹 Gno - a library for managing RDF datasets in SPARQL stores
🔹 RDF.ex 3.0 - with a new protocol for polymorphic RDF data access
Details in the blog post: https://ontogen.io/blog/dcat-r-gno-and-rdf-ex-3
Thanks to @nlnet for making this work possible through the NGI Zero Core fund! 🙏
#RDF #LinkedData #SemanticWeb #KnowledgeGraph #Elixir

I’m exploring how to ground agentic AI in epistemic integrity. By utilizing reified interpretation nodes and the Model Context Protocol, we can map scientific ambiguity directly within the graph.

The goal is a domain-agnostic curator that respects the complexity of the human record rather than simulating certainty.

https://resonism.substack.com/p/real-reasoning

#DigitalHumanities #GraphRAG #ADK #MCP #neo4j #numismatics #knowledgeGraph

Real Reasoning

Trustworthy GraphRAG utilizing ADK, MCP, and Neo4j

A Human in Latent Space

Websites haben keine Autorität. Nur Marken.

E-E-A-T bezieht sich auf die Marke hinter der Website – nicht die Domain, nicht den Pagerank. Und KI-Systeme wie ChatGPT und Perplexity? Die zitieren Marken, die sie kennen. „Kennen“ heißt: konsistente Attribute über Dutzende Datenquellen.

Unser Hebel: 50+ Citations, Organization Schema auf jeder Seite, eine wortgleiche Markenbeschreibung überall.

https://hechtinsgefecht.de/brand-seo/

#BrandSEO #EntitySEO #KnowledgeGraph

Brand SEO: Starke Marken im Web sichtbar machen 🌟

Brand SEO macht deine Marke zur Entität bei Google & KI-Systemen. Case Study: 199 LLM-Erwähnungen. Schema-Workflow, Citations & subjectOf. 🚀

HECHT INS GEFECHT