#rdf

W3C Developersw3cdevs@w3c.social
2025-12-09

The @w3c SHACL 1.2 Rules specification is an addition to the Shapes Constraint Language (SHACL) family of documents. It provides a standardized way to express and evaluate declarative rules that generate new data (as #RDF triples) by inference on existing RDF data. #FPWD #timetogiveinput
▶️ w3.org/TR/shacl12-rules/

Feedback welcome: github.com/w3c/data-shapes/iss

Jak2k ✆9000@39c3jak2k@mastodontech.de
2025-12-08

After reading a few Wikipedia articles and reading some news articles, my Firefox extension collected 3983 JSON-LD triples.

#jsonld #rdf #apachejena #fuseki #semanticweb

2025-12-03

@awinkler Sorry, zu spät gesehen ... Du könntest für den nächsten Workshop aber noch die #CClizenzen ergänzen. Auf der Website von z.B. creativecommons.org/publicdoma wird explizit eine "Canonical URL" genannt (mit https:).

Die #RDF-Repräsentation creativecommons.org/publicdoma verwendet in rdf:about zwar "http:", hat in dieser Version aber wenigstens ein owl:sameAs-Element mit der https-Variante erhalten.

2025-12-02

The December 2025 release of the Between Our Worlds dataset with anime metadata is available now! betweenourworlds.org
#linkeddata #rdf #opendata #anime #metadata

Dept of Translational Genomicstgx_um@social.edu.nl
2025-12-01

🚀 BioSB course "Knowledge Graphs in the Life Sciences” 🚀
Don't miss this exciting opportunity for Life Sciences researchers and data enthusiasts. In just 5 weeks, BioSB will host this course: dtls.nl/courses/knowledge-grap

📅 January 5–9, 2025
🗺️ Wageningen, NL

💡 Why join?
You’ll learn about:
📍 Semantic knowledge representation (#RDF, #OWL)
📍 #Ontologies and vocabularies to link and structure data
📍 Drawing inferences across datasets (#SPARQL)
📍 Integrating Linked (Open) Data with your own research

Christian Drumm 🇪🇺🧗🚵ceedee666
2025-11-29

and knowledge graphs finally arrived in the mainstream.

Presentation about cloud knowledge graph at

Quick update: if I add ~300k posts to the graph with edges for authors, tags and mentions then serialisation / deserialisation with #rdflib is quite slow (about 40s to load the .ttl file), but queries are still fast - about 100ms for the equivalent of the above to look up homepages.

#semanticweb #Fediverse #rdf

Waste BadgerWasteBadger
2025-11-21

" 'Disgraceful decision' from Scottish Government as another incinerator allowed to start burning waste " foe.scot/press-release/disgrac
got on his high horse "Do they want it to go to ? At least it's generating energy! Go reduce your waste first."

2025-11-20

It's happening again.

👉 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

@david_chisnall@infosec.exchange

I think, that the best reaction is to boycott and deprecate HTML software that lack of RSS and XSLT support.

#afs #atom #html #rdf #rss #xhtml #xml #xslt

This is cool - I've added tag summaries and 'homepages' (the href of any anchor tag in a #mastodon user's fields) to my #FOAF graph, which means I can do things like get a list of the homepages of people I follow who have posted with retrocomputing as a tag. I feel that this had already enabled me to better get to know the people I follow.

Currently I'm aggregating posts before building the index, but I should just go ahead and add posts as well as users directly to the graph. Hopefully the #SPARQL engine I'm using will scale sensibly to doing that, but only one way to find out...

(I've blurred the display names and homepage URLs in the results because they're derived from my personal social graph.)

#semanticweb #Fediverse #RDF

A screenshot of computer terminal output, showing a SPARQL query and a list of results. The individual results are blurred.

The other thing I've been doing is getting up to speed with #RDF, #FOAF and other #semanticweb technologies. I'm trying to build a representation of my social graph which I can query using open technologies, and converting what I can download from my home instance via the #mastodon API to FOAF was pretty straightforward, although I haven't yet really tried querying it yet, which I'm guessing either means learning #SPARQL or finding some sort of graphical explorer app.

I think there are two directions in which I want to take this. First is analysing the post history, e.g. looking at the #tags people use. Because of the way #FCLI works I've built up an archive of around 300k posts ready to do that with, so there should be some interesting data there.

Secondly, I was thinking about following the social graph to higher order connections, i.e. who the people I follow follow ...

2/n

Bienvenue à @sparna sur Mastodon !

Sparna est notre partenaire dans l'import, la documentation et le nettoyage de nos données #RDF.

Pour en savoir plus sur cette collaboration : forum.swib.org/t/swiss-perform

#SemanticWeb

#archivCH

Orbifold Consultingorbifold
2025-11-16

The Yago-Naga project has harvested knowledge and relationships about millions of entities and facts. The resulting knowledge base has very high precision and is freely available. The facts are represented as RDF triples and there are methods for querying, ranking, and exploring the graph. mpi-inf.mpg.de/departments/dat

Alexander Huberc18ah@hcommons.social
2025-11-06

The #RomanticPeriodPoetryArchive knowledge base is accessible via #SPARQL, enabling semantic queries and data integration. This infrastructure underpins the interactive "Networks"-view on the website and is the basis for further computational analysis and application development.

#SemanticWeb #RDF #CIDOC_CRM #POSTDATA #INTRO #ontologies #digitalhumanities

Screenshot of the draft Networks-page in RPPA (to be released in BETA)
Larry SwansonLarrySwanson
2025-11-04

At Netflix, @bertails and his team have adopted to capture the meaning in their content in a consistent way and generate consistent representations of it for a variety of internal customers.

The keys to their system are a Unified Data Architecture (UDA) and a language, Upper, that let them quickly and efficiently share complex projections in the formats that their internal engineering customers need.

knowledgegraphinsights.com/ale

Client Info

Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst