Mastodawn

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!

Thomas Bergwinkl Mar 17

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

SAPA Feb 5

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

kvistgaard Jan 22

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

kvistgaard Jan 20

A third one is the gain in flexibility. 👇📜

#RDF #SHACL

kvistgaard Jan 7

📜 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

Marie Muller Nov 27

#semwebpro

Passionnante présentation de Yann Rebours, en charge depuis novembre 2023 de l’accélération du numérique au Centre d’Ingénierie Hydraulique à EDF Hydro.

Le projet « Grafhydro » vise à connecter sémantiquement les données utiles à l’ingénierie hydraulique. La question de la validation #SHACL des données est posée !

Mention spéciale au Chat Bot'Hy !! 🐱 👢

SPARNA Nov 20

It's happening again.

👉 https://semweb.pro/conference/2025/

Nous serons présents jeudi 27 novembre prochain à la conférence @semwebpro qui aura lieu au FIAP Paris !

#semwebpro #semweb #websem #opendata #linkeddata #linkedopendata #knowledgegraph #thesaurus #ontology #RDF #SPARQL #SHACL #OWL #JSONLD

kvistgaard Nov 20

Tired of the LLM noise? Let’s shift attention to something fully deterministic – rules running over a knowledge graph.

(now on the plane to London)

#SHACL #SPARQL
https://2025.connected-data.london/talks/rules-for-speed-simplicity-data-centricity/

Connected Data London 2025

A Talk by Ivo Velitchkov

Connected Data London 2025

kvistgaard Nov 13

I have reviewed many #SHACL shape graphs over the last few years. There are some error patterns as well as exotic errors. And recently, I've noticed some very different patterns of LLM-generated errors.

Declarative code errors tend to be semantic illusions -- they mirror the user’s intent linguistically but diverge logically. Procedural errors, instead, are often syntactic or structural.