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"Built To Last"is a practical, customizable guide to help you create a sustainable, lifelong approach to health, movement, and longevity. ✅ No crash diets. ✅ No extreme workouts. ✅ No one-size-fits-all approach. youtu.be/b_5kw-y5wPE

Brilliant analysis by DEJAN, as always. What stands out the most? "Building brand associations through entity relationships." Hot tip: Entities in LLMs often align with monosemantic features.

❓APIs ❓Browser extensions ❓Apps ‼️ Yes, those, too: blog.archive.org/2025/03/13/wan…

How to get property labels on Wikidata? This seems to be a common question. Strangely, LLMs can't "figure it out" either. So here's a quick answer. stackoverflow.com/a/79534651/547…

SEO test confirmed. I wrote this 7 hours ago. LinkedIn Pulse for the win. (Also, this is so dumb, I can't believe it actually works)

It's not easy squeezing a book that took three years to write and research into five short answers but I tried: mindbodydad.com/body/built-to-…

Glad to share the Keynote Speaker of TEXT2KG-2025 at ESWC-2025!!!!

Do you know any ontologies for #kgqa (#questionAnswering datasets for #knowledgeGraphs)? github.com/KGQA/KGQA-data…

The brain truly is our hidden organ. Devoid of nerves, without proprioceptors, it controls everything and has a say everywhere. Nate Sleger and yours truly went exploring in that territory. beginwithin.fit/post/the-hidde…

Make your Knowledge Graph tell a story. Built on public Linked Data. Visual. Composable. RDF-native. Low-code. Coming in LinkedDataHub 5. 🎥👇 atomgraph.github.io/LinkedDataHub/ #RDF #SPARQL #LinkedData

From scribbled notes to a global revolution - the personal journey behind the World Wide Web’s invention and the unexpected turns along the way. It is both a history and my vision for what comes next. This is for Everyone isn’t just a story about technology; it’s about

ChatGPT increasingly relies on *search engines* to return accurate, in-depth answers. AI NEEDS traditional search to work optimally, but give very little traffic back to the Open Web What happens if/when the house of cards collapses as publishers no longer produce free content?

It never stops to amaze me: behind every sustainable and responsible use of AI, there's an incredible amount of human care, effort, and intention. I couldn't be more grateful to the teams training Agent WordLift on content creation 👇

📺 Just released by the BBC: a powerful video on the mission of the Internet Archive & the The Wayback Machine. “A time machine for the web,” preserving everything from lost government websites to books & records—before they vanish. 🎥 Watch ⬇️ youtu.be/jh98N46DM5k

Scientific Journeys Lit and Lead By The Semantic Web Promise <3 The beautiful project Open Research Knowledge Graph - a story about seeing anew knowledge and the documents interaction related to its use, reuse and creation. In linkedin.com/pulse/taming-a…

Yes! Philosophy ultimately Eats AI. Why? The core dream of every entrepreneur or business decision-maker has always been to describe a business model and orchestrate its execution—with the help of software. That vision has taken many fragmented forms, from the personal

Connected Data London 2025: Call for Submissions is now open 🚀 Ready to share your knowledge with the world's most passionate data community? This is YOUR moment! 🌟 We're seeking leaders and innovators to showcase: 🔗 Knowledge Graphs transforming industries 🧠 Graph

When two automated systems ("agents") interact, they must agree on the meaning of the symbols (json, English) that they exchange. People encounter the same problem. What discipline studies how people do this? Would love pointers to the literature 🙏

Thomas G. Dietterich the answer is language is a moral cooperation protocol being co created in local knowledge domains to expand the context of the cooperation and maintain transparency for collective intelligence and coherence AO the growing open knowledge base link is in my profile for free access

The Great Divide: Why Ontology and Data Architecture Teams Are Solving the Same Problems with Different Languages In enterprise organisations today, two important disciplines are working in parallel universes, tackling nearly identical challenges whilst speaking completely