🔗 RICH DATA: Why JSON-LD Matters
Traditional credentials = strings. Humans interpret. No machine understanding.
DC4EU credentials = linked data:
📊 JSON-LD enables:
• ESCO skills referenced via URIs
• EQF/NQF levels linked to definitions
• Competencies machine-queryable
Example: Query "ESCO skill S2.2.1 at EQF Level 5"
→ Credentials responds with semantic understanding
Rich semantics + cryptographic trust = real interoperability.
#LinkedData #JSONLD #SemanticWeb #ESCO #SkillsMatching
🔗 OPEN STANDARDS MATTER: ELM + W3C VCDM
DC4EU built on royalty-free, vendor-neutral standards:
📊 W3C Verifiable Credentials (VCDM)
• W3C Recommendation (stable since 2019)
• JSON-LD for rich linked data
• Privacy on verification
• 80%+ global adoption
🎓 European Learning Model (ELM v3.2)
• RDF-based semantic ontology
• ALL education levels + professional qualifications
• Multi-framework (EQF, NQF, sectoral)
No vendor lock-in. European sovereignty
#OpenStandards #SemanticWeb #LinkedData #W3C
biomappings is a project for predicting and curating semantic mappings between biomedical vocabularies in SSSOM
i'm working in @NFDI with researchers from other disciplines, so I recently did a full refactor of the underlying code into a new project, SSSOM Curator (https://github.com/cthoyt/sssom-curator) to make it more accessible outside of biomedicine
Here's a screen cast describing how it works:
Last week, our colleague @heikef participated at the 4th Ontologies4Chem Workshop in Limburg, jointly organized by @NFDI4Chem @NFDI4Cat Beilstein-Institute and PSDI. Goal of the workshop was to agree on a "canon" of recommended chemistry-related ontologies for metadata annotation of FAIR research data.
https://www.nfdi4chem.de/de/veranstaltung/4-workshop-ontologies4chem
#nfdirocks @fiz_karlsruhe @enorouzi #ontologies #semanticweb #metadata #chemistry #fair @NFDI
... and this one gives you a list of people mentioned in posts with a given tag who you don't already follow:
SELECT ?u (COUNT(?u) AS ?u_count)
WHERE {
?post socialdata:tag ?i .
?post socialdata:mentions ?u .
FILTER NOT EXISTS { ?p foaf:knows ?u }
}
GROUP BY ?u
ORDER BY DESC(?u_count)
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.
🔥 🚀💥 Deadline Alert! 💥🚀🔥
The deadline for ESWC workshop and tutorial proposals is coming very close 🥳 Have you seen that ESWC also welcomes Dagstuhl style workshops this year? This format draws inspiration from the Dagstuhl Seminar approach and the successful special sessions at ISWC.
⭐ Workshops Call: https://2026.eswc-conferences.org/calls/workshops/
✨ Tutorials Call: https://2026.eswc-conferences.org/calls/tutorials/
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.)
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 : https://forum.swib.org/t/swiss-performing-arts-platform-example-of-lod-deployment-by-a-small-institution-without-an-it-department/1437
Today, our colleague @MahsaVafaie was presenting "End-to-end Information Extraction from Archival Records with Multimodal Large Language Models" at the 34th ACM Int. Conference on Information and Knowledge Management (CIKM 2025) in Seoul, Korea. This is joint work together with Sven Hertling, Inger Banse & Kevin Dubout (BArch), @lysander07
slides: https://zenodo.org/records/17595883
paper: https://dl.acm.org/doi/10.1145/3746252.3761503
#cikm2025 #semanticweb #AI #llms #culturalheritage #digitalhumanities @bmf @fiz_karlsruhe
Cha đẻ của World Wide Web, Sir Tim Berners-Lee, tin rằng AI sẽ không phá hủy web mà còn giúp phát triển Semantic Web – nơi AI có thể trao đổi dữ liệu hiệu quả hơn. Thời kỳ thú vị phía trước cho khả năng tương tác dữ liệu!
#AI #SemanticWeb #WorldWideWeb #TimBernersLee #VietNam #CôngNghệ #MạngThếGiới
#AI accomplished what the #semanticweb never did.
The path of least resistance always wins.
https://www.theverge.com/podcast/814552/tim-berners-lee-world-wide-web-ai-future-interview
👋 Huge thanks to everyone who made #ISWC2025 unforgettable! To attendees, speakers, sponsors & volunteers — your energy made it special.
Can’t wait to see you at #ISWC2026 in #Bari, #Italy! 🌐💫
#SemanticWeb #ThankYou #SeeYouNextYear #Nara #Japan #Bari #Italy
🏅 Congratulations to the winners of the #ISWC2025 SemTab Challenge!
🎓 “ADFr: Knowledge Graph Entity Linking via Interactive Reasoning and Exploration with GRASP” by Sebastian Walter and Hannah Bast.
👏 A big round of applause to the authors!
@vrandecic @iswc_conf There are so many great people in these pictures! I am happy to see how wonderful is the #SemanticWeb community.
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
In her keynote at #ISWC2025, Yuko Harayama, Secretary General of Global Partnership on AI Tokyo Expert Support Center, is discussing the challenges of #AI on Human Society, suggesting a shift from originally tech-driven to human-centered paradigm, addressing key questions related to #ethics, #law, #economy, #society, #education, and R&D
#semanticweb #generativeAI #AIethics #AIpolicy #knowledgegraphs #llms #reliableAI
