#linkeddata — Public Fediverse posts

Intrusive thought:

application/LD+YAML (YAML Linked Data) isn’t something to sneer at, it’s bringing terseness to JSON-LD the way that Turtle tamed the XML serialization.

(I have always found writing configs in YAML impossible and have been a detractor, maybe I would suffer less with YAML-LD.) #linkeddata #rdf

A useful open resource for Linked Data and urban research: RTSKG provides an ontology, RDF data for New York and Chicago, persistent identifiers, provenance metadata and example SPARQL queries. Data are CC BY SA 4.0 and code is Apache 2.0. A concrete teaching and reuse case for knowledge graphs.
https://github.com/seucoin/RTSKG

#LinkedData #KnowledgeGraph #OpenData

Contributing to open Knowledge isn’t just about adding data to Wikidata. It’s also about building and using tools that make structured knowledge easier to create, explore, and reuse. Here are some of the amazing tools showcased at Wikimania.

Have you tried any of these tools? Which one is your favorite, or which would you like to explore next? Share your experience in the comments!

#Wikidata #Community #OpenData #LinkedData #Wikimania

Contributing to open Knowledge isn’t just about adding data to Wikidata. It’s also about building and using tools that make structured knowledge easier to create, explore, and reuse. Here are some of the amazing tools showcased at Wikimania.

Have you tried any of these tools? Which one is your favorite, or which would you like to explore next? Share your experience in the comments!

#Wikidata #Community #OpenData #LinkedData #Wikimania

Missed the "Bridging Institutions, Wikidata & Generative AI" talk at Wikimania Paris?

Key Takeaways:
🏛️ GLAMs often back open access (but want AI safeguards) — attribution, context, reciprocity
🔗 An uploads alone doesn't add value. Data needs curation & Wikipedia/Commons sitelinks
🗃️ Institutions can hold data in Wikibase; Wikidata can connect it
🤖 Challenge: open knowledge + sustainable infrastructure

Watch: https://www.youtube.com/watch?v=RWNgzZChMiA

#Wikidata #Wikimania #OpenData #LinkedData #Wikibase

A new snapshot release of the #dblp data set has been published. #opendata #linkeddata #knowledgegraph
https://drops.dagstuhl.de/entities/collection/dblp
https://doi.org/10.4230/dblp.rdf.ntriples
https://doi.org/10.4230/dblp.xml

TOOI staat voor: Thesauri en ontologieën voor overheidsinformatie.

Lees de laatste nieuwsbrief van #TOOI:

https://standaarden.overheid.nl/tooi/nieuwsbrief/2026/1

Je kunt nu door de thesauri en ontologieën browsen via #ShowVoc:

https://standaarden.overheid.nl/showvoc/#/datasets

Heel cool dat de #overheid (lees: @Logius) dit allemaal #opensource beschikbaar maakt als #LinkedData!

#rdf #owl #skos #FOSS #SPARQL

When you think of OHM, do you think of a blank map? There’s a ton of hidden coverage (and some mistakes too), but you have to find it amid the vastness of time and space. @mxn takes you on a tour of the sprawling collection of tools for more efficiently analyzing our open historical map data and using it in your own projects.

https://openstreetmap.us/events/state-of-the-map-us/2026/history-however-you-look-at-it/

#StateOfTheMapUS #HGIS #LinkedData

#KDAI2026 lecture no 11. This time it's interrogation tactics: FILTER, REGEX, OPTIONAL, UNION, negation, BIND, and GROUP BY aggregates in SPARQL.

Then a bounty comparison: DBpedia (1.32B triples, built from Wikipedia infoboxes) vs Wikidata (17.6B triples, ~29K editors)

Closing out with OWL: Description Logic SROIQ(D), etc.

See you space cowboy…

#SemanticWeb #KnowledgeGraphs #SPARQL #DBpedia #Wikidata #OWL #LinkedData #AIeducation @fiz_karlsruhe @KIT_Karlsruhe @fizise #AI #cowboybebop

"Oproep aan de #TOOI-community: Zijn er best practices voor API's op #begrippenkaders of leven er specifieke wensen waar zo'n #API aan zou moeten voldoen?"

Bovenstaande vraag staat hier: https://gitlab.com/koop/tooi/tooi-all/-/work_items/3#note_3578333389

#TOOI #LinkedData #RDF #overheid #metadata #thesauri #themas #opensource #community

From raw statements to sound inference. This week's #KDAI2026 session works through the RDF stack top to bottom:
▸RDF — typed literals, blank nodes, and Turtle
▸RDFS — classes, domains & ranges, subClassOf hierarchies, model-theoretic semantics, reification & RDF*
▸SPARQL — first steps

The triple is the message. 📡

@fiz_karlsruhe @fizise @KIT_Karlsruhe #semanticweb #RDF #KnowledgeGraphs #LinkedData #AI #lecture #sparql

Ik zie dat de Nederlandse #overheid ( @Logius ) de #TOOI ontologieën en thesauri online te raadplegen heeft gemaakt via #ShowVoc. Heel cool!

https://standaarden.overheid.nl/showvoc/#/datasets

Al deze informatie kan ook via een SPARQL-endpoint benaderd worden. En #WikiData federeert sinds kort met het TOOI SPARQL-endpoint.

#LinkedData #thesauri #RDF #OWL #SKOS #RDFS #SPARQL #ontologie #overheidsinformatie #metadata

Capabilities-based security, resource-orientation, WebAssembly and WASI jailing, LLVM interop. It sounds like word salad but it all connects. #emacs #web #orgmode #linkeddata #calendar #webassembly #wasi

It’s going to expand quickly to support SOLID PODs, agentic systems, MCP, etc. #emacs #web #orgmode #linkeddata #calendar

The semantic CMS merges bookmarks, tags, my Zotero library, manages Manning MEAPS, notes, presentations, images, etc. #emacs #web #orgmode #linkeddata #calendar

The new #KDAI2026 lecture is out. How to get from a sentence to something a machine can actually reason?

The greenhouse effect was discovered by Fourier, explained by Eunice Newton Foote. 3 words, 1 triple: subject, predicate, object. Stack enough of them and you get a graph. Add an ontology and the machine starts to infer.

This session:
▸ Graphs & triples
▸ #KnowledgeGraphs & #ontologies
▸ #SemanticWeb & #LinkedData
▸ #RDF, RDFS, #SPARQL, #OWL, #SHACL
CU space cowboy…

@fiz_karlsruhe @fizise

A new snapshot release of the #dblp data set has been published. #opendata #linkeddata #knowledgegraph
https://drops.dagstuhl.de/entities/collection/dblp
https://doi.org/10.4230/dblp.rdf.ntriples
https://doi.org/10.4230/dblp.xml

#rdf #linkeddata #LOD #datamodel
{3/n} But I really want something in the specs that states this requirement in a more hard and fast way and I'm not finding it. For example, RDF 1.1 Concepts and Abstract Syntax > 3.1 Triples doesn't come out and provide any req's for the predicate other than that it is an IRI.
I thought that perhaps The RDF Concepts Vocabulary (RDF namespace) properties for reifying triples might help, but -- to my surprise -- rdf:predicate has rdfs:range rdfs:Resource -- I expected this to be rdf:Property.
Thus, I'm not currently coming up with anything from the specs (thus, looking for wisdom -- entirely possible and in fact dependable that I am missing things), but rather, only what seems like convention.

#rdf #linkeddata #LOD #datamodel

{ 1/n } Reviewing an RDF metadata application profile, came across an IRI used as a predicate in metadata description set triples, looked at modelling from the source:

```Turtle
<http://www.ebu.ch/metadata/ontologies/ebucore/ebucore#ContentAlert> a rdfs:Class ;
rdfs:label "Content alert"@en ;
rdfs:comment "To provide information about a particular type of content potentially sensitive."@en ;
rdfs:subClassOf <http://www.ebu.ch/metadata/ontologies/ebucore/ebucore#Type> .
```

Said something like "Oh, well, that's a class, we can't use that as a property, we'll want to change that."
Was asked the question "Why can't we use that IRI as a property?"
The fact that you can't use a resource that is an instance of rdfs:Class as a predicate in an RDF triple -- or, at least, you shouldn't -- seemed self-evident to me. But I found I was somewhat at a loss to come up with what I consider a solid response about why this is the case based in RDF specs.
Thus, here I am looking for wisdom on the internet.
To say a bit more...

Had a hard time getting qlever to work nice with systemd. Eventually had to run it using docker with this service file:

[Unit]
Description=QLever
Requires=docker.service
After=docker.service network-online.target

[Service]
Type=oneshot
RemainAfterExit=yes
User=rene
Group=rene
WorkingDirectory=/var/deploy/qlever/vici
ExecStart=/usr/bin/qlever start
ExecStop=/usr/bin/qlever stop
TimeoutStartSec=300

[Install]
WantedBy=multi-user.target

#qlever #linkedData #rdf #systemd

DTI-Konferenz in Prag: Digitise – Transform – Inspire 2026

https://www.compgen.de/2026/07/dti-konferenz-in-prag-digitise-transform-inspire-2026/

C'est quand même plus pratique de faire des alignements en masse à partir de données ouvertes que de scrapper un site, nettoyer le résultat, aligner... 😇

> Ajout de plus de 17000 identifiants #FranceArchives Agent sur #wikidata à partir des données #opendata

> Ajout de la réutilisation (avec des exemples de requêtes #sparql) sur #datagouv :
https://www.data.gouv.fr/reuses/alignement-des-autorites-francearchives-et-wikidata

#GLAMarchives #archivistodon #linkeddata #LOD

Hulp gevraagd!

Werkt jouw #overheidsorganisatie met #begrippenlijsten, #linkeddata of allebei? Vul onze enquête in (uiterlijk 6 juli). Dit kost je maar een paar minuten.

Jouw inzichten helpen ons om een beter beeld krijgen van het gebruik publiceren van begrippenlijsten via linked data bij overheden, in het bijzonder.

De enquête vind je hier: https://ec.europa.eu/eusurvey/runner/onderzoek-publicatie-begrippenlijsten-overheid

@DigitaleOverheid @pldn @nora @developer @digilab @NetwerkDigitaalErfgoed

Linked Data connections aren't always explicit triples. Sometimes the link is spatial: things that simply exist near each other.

LDView now shows "nearby" entities - geolocated subjects that are indirectly linked to the one you're viewing.

Example: https://data.digitopia.nl/uri:http://vici.org/vici/19762
Scroll down to “Nearby” and explore the neighbourhood.

#LinkedData #GeoSPARQL #LDView

Incoming links are a revealing way to explore a Linked Data dataset — but they vanish silently when the linking subject is a blank node.

LDView now walks up the graph (up to 2 hops) to find the real subject.

Example: https://data.digitopia.nl/uri:http://data.bibliotheken.nl/id/thes/p075547279
Before: 0 incoming links. After: the full picture of where an entity appears in the dataset.

#LinkedData #RDF #LDView

@steve @eblu

There are a couple of projects that explore #ActivityPub in its intended #LinkedData format. Plain JSON is allowed, but the AP's primary notation is using #JSONLD. I think there is a slight uptick in interest for this approach again, coming along with the opportunity to implement the Social API (client-to-server) as intended.

What I really like is that ecosystem tools which aim to ease #fediverse solution development, are gaining an interest. Most notably here is #Fedify imho, who recently received #NLnet funding to build Fedify Studio development platform..

https://studio.fedify.dev