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

#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 !! 🐱 👢

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

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/

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.

"Translating and Formalizing the MIRAGE Guidelines to a Prototype MIRAGE Ontology and DCAT3 Extension Vocabulary for Glycomics Data Management" https://doi.org/10.37044/osf.io/wj8bz_v1

"We present the first comprehensive semantic formalization of MIRAGE guidelines through an integrated RDF ontology framework comprising the MIRAGE Ontology and MIRAGE-DCAT3 vocabulary. The MIRAGE Ontology models glycan structures, biological specimens, analytical instruments, and experimental processes with formal OWL semantics and SHACL validation constraints." https://index.biohackrxiv.org//2025/09/30/wj8bz.html

#biohackathon #BH25JP #shacl #ontology