I’m a Knowledge Graph Guy now 
.Six weeks. 42 hours. One paradigm shift.
I took this course because I was convinced the AI stack without semantic grounding is fundamentally broken. And I wanted to understand why — properly. Not from scattered tutorials. From the best practitioners in the field.
TL;DR — read my Substack 
“I’m a Knowledge Graph Guy Now!” for the full reviewSo I did the work. Here’s what that looked like:
Controlled Vocabularies & SKOS — the unglamorous foundation Competency Questions — forces clarity most data projects never achieve RDFS → OWL — each layer revealed why the previous one wasn’t enough RDF & SPARQL — painful syntax, non-negotiable understanding A-Box Instance Building — where concepts stopped being abstract LLM-assisted Ontology Mining — the standout. A glimpse of where this is heading.I learned all of this from three people who’ve actually done this in production — and wrote every bit of the course material themselves. From practice. For practice.
Katariina Kari — knowledge graphs as “a paradigm-shift in how data is served: with meaning and human perception of the world.” Tony Seale — Day 6. Full intellectual force / The Neural-Symbolic Loop Jessica Talisman — her Ontology Pipeline Framework runs through the entire curriculum. I recognized it everywhere.My verdict: unqualified YES.
If you’ve been circling this topic without knowing where to start — this is where you start.
Takeaway: The craft, the judgment, the community. No self-study path gets you there.
Read the full story on my Substack: Link: “I’m a Knowledge Graph Guy Now!”Over nearly 30 years, I’ve been building exactly these bridges between business, processes, and data:
- At A1 Telekom Austria, I designed and implemented the Enterprise Information Architecture, later leading the development of the central Big Data Platform and Data Lake.
- I created frameworks for data ingestion, integration, and governance, replacing legacy systems with modern, scalable architectures.
- I’ve worked on data modeling, data warehouses, and BI systems that supported planning, reporting, and decision-making across the company.
- Today, I’m expanding my expertise into Knowledge Engineering, Generative AI, Agentic Workflows and platforms like Databricks and Azure, making sure my architectural work fully enables next-generation AI solutions.
My passion has always been the same: turning data into clarity and business value.