Grounding AI the webby way — Taxonomy Boot Camp London 2026 takeaways

There was a heavy focus on artificial intelligence. But what really struck me was that the semantic approaches that are preparing us for our AI future are well-established web standards that have been around for decades.

https://duncanstephen.net/grounding-ai-the-webby-way-taxonomy-boot-camp-london-2026-takeaways/

Yesterday I pushed a major update to the experimental #SHACL 1.2 branch of shacl-engine.

It now supports most SHACL 1.2 Core, Node Expression, and SPARQL features. The implementation is still incomplete — reification, some constraint components, and several node expression functions are still missing — but those are coming soon.

You can already try it directly in the browser:
https://playground.rdf-ext.org/shacl-experimental/

GitHub repo:
https://github.com/rdf-ext/shacl-engine/tree/experimental

Good morning Dubrovnik! ESWC 2026 - the 23rd European Semantic Web Conference is starting today. Looking forward to visionary and inspiring keynotes, presentations, and posters, esp. addressing the question on how #SemanticWeb technologies will survive (or even prevail...) the current 3rd wave of #AI

https://2026.eswc-conferences.org/

#SemanticWeb #knowledgegraphs #ontologies #shacl #AI #llms #generativeAI #reliableAI #explainableAI #ESWC2026 #dubrovnik

As interest in knowledge graphs grows by the day, @veronahe is busier than ever with her efforts to connect the #dataEngineering, #informationArchitecture, and #ontology practices that drive modern knowledge engineering.

Best known as an advanced #knowledgeGraph practitioner and a leading expert on the #SHACL standard, Veronika also regularly shares her knowledge by teaching and appearing on podcasts like this one.

https://knowledgegraphinsights.com/veronika-heimsbakk/

This is Koblenz Hbf, the main train station in #Koblenz, #Germany. I am waiting for the train to Stuttgart. This is the third time @Ayenkantun and I visited Koblenz. This time we traveled to attend Philipp Seifer's PhD defense. I co-author several papers with him about #SPARQL #KnowledgeGraphs #SHACL #SemanticWeb He did a great defense! I am very happy!
Most data comes from closed-world systems — forms, sensors, logs — with known schemas. Yet the RDF community often says: adopt the full semantic web stack or nothing.
My latest post explores practical RDF for closed-world systems:
- When closed-world makes sense
- Real examples: sensors, IoT, forms
- How Netflix uses RDF+SHACL at scale
- New SHACL 1.2 features
Read more: https://www.bergnet.org/2026/03/closed-world-systems/
#RDF #SHACL #JSON-LD #Ontop
Bringing Semantics to Closed-World Systems

The origin of most data in the world comes from closed-world systems. Forms, logging systems, and sensors all generate data in predefined structures where the schema is known in advance. Yet when peop

bergis universe of software, hardware and ideas

We are very pleased to announce the publication of our complet #RDF Data Model as Shapes (#SHACL)

https://shapes.performing-arts.ch/

Special Thanks to @sparna who guides us in this work

#PerformingArts
#archivCH
#archives

There are many benefits when the inference rules are included in the knowledge graph. One benefit is the decoupling of data and application. It lowers the cost of integration and the cost of change. Another is the improved data governance.

A third one is the gain in flexibility

#RDF #SHACL #SPARQL

There are many benefits when the inference rules are included in the knowledge graph. One benefit is the decoupling of data and application. It lowers the cost of integration and the cost of change. Another is the improved data governance.

A third one is the gain in flexibility. 👇📜

#RDF #SHACL

📜 New essay on Link&Think

Rules are usually in the application layer.
With #SHACL rules, they can be part of the graph, and then, apart from simplicity and speed, they can bring other benefits coming from data-application decoupling.

Part 1 is now available.

https://www.linkandth.ink/p/rules-on-graphs-in-graphs-of-rules

Rules on Graphs in Graphs of Rules, Part 1

Inference rules are useful. They bring declarative expressivity — stating what follows from facts rather than how to compute it. But for users, their most salient feature is that they make queries simpler and faster.

Link & Think