2026-05-20 12:20:31
Deutsche Bahn-Webseite hält Linux-Nutzer für Bots #bahn #linux https://www.
Deutsche Bahn-Webseite hält Linux-Nutzer für Bots #bahn #linux https://www.
Dogfooding was one of RDF’s biggest challenges prior to the arrival of LLMs as powerful general-purpose clients. Why? Because transforming and presenting RDF specifications in RDF form was difficult. Today, that problem is gone. Here’s an example of the new RDF 1.2 primer, deployed as a knowledge graph that uses Linked Data principles to manifest a Semantic Web.
#RDF
Bibliotheksdaten gibt es überraschen selten als #RDF: Ich habe bislang nur die DNB, BSB, TIB und so halb das BSZ (RDF nur in HTML eingebettet?) sowie das HBZ (JSONLD) gefunden. Richtig nutzbar ist es nur bei der DNB /und dem HBZ/. Dabei wäre es ja ganz interessant, wenn man sich mal durch die Kataloge sparqlen könnte.
Dogfooding was one of RDF’s biggest challenges prior to the arrival of LLMs as powerful general-purpose clients. Why? Because transforming and presenting RDF specifications in RDF form was difficult. Today, that problem is gone. Here’s an example of the new RDF 1.2 primer, deployed as a knowledge graph that uses Linked Data principles to manifest a Semantic Web.
#RDF
Rigid schemas slow teams down. At #bbuzz26, Gosia Zagajewska will show how RDF lets you build applications without being locked into a fixed data structure from the start.
Learn more about this session: https://2026.berlinbuzzwords.de/session/building-schema-free-applications-with-rdf/
RE: https://w3c.social/@w3cdevs/116555537368805230
What?! Triple annotation is coming to RDF? That would be amazing!
Tools used:
1. Anthropic’s Claude Code as the AI agent
2. DeepSeek-v4 as the LLM
3. Virtuoso Data Spaces platform, comprising:
* A WebDAV-based filesystem for hosting generated RDF, HTML, and Markdown documents
* A high-performance DBMS engine that automatically ingests and manages these documents
* Support for RDF graphs and relational tables accessible via SQL, SPARQL, GraphQL, etc. (note: we also have openCypher and GQL in the works to bury…
Another related demo, but this time using Grok as the AI Agent that generates RDF-Turtle from its own description of my session with Scoble.
Naturally, the RDF-Turtle could easily have been JSON-LD etc..
Designed-Source Reductions and a Dual-Purpose Feasibility Band for Semantic Rate-Distortion
Joss Armstrong
https://arxiv.org/abs/2606.11280 https://arxiv.org/pdf/2606.11280 https://arxiv.org/html/2606.11280
arXiv:2606.11280v1 Announce Type: new
Abstract: The joint rate-distortion framework of Stavrou and Kountouris (IEEE Transactions on Communications 2023) characterises dual-fidelity tradeoffs for semantic communication on stochastic semantic sources. Many task-oriented communication systems instead use designed sources, where the semantic object is a deterministic oracle allocation $\phi^(t)$ rather than a stochastic quantity given by nature. We isolate the subclass of designed sources under smooth concave utility with assumptions A1, A2 and Euclidean allocation codomain, and restrict the encoder class to deterministic common-category mappings. Within this subclass the SK exponential-tilting decoder and generalised Blahut--Arimoto iteration specialise to conditional-mean decoding and Lloyd--Max stationarity on $\phi^(t)$. When the second fidelity is a monotone single-letter distortion, the joint problem stays inside the SK admissible class; the common-category SK rate is lower-bounded by the max of the corresponding Shannon rate-distortion functions, with equality only when the common-category reconstruction is compatible and RDF-optimal. When the second fidelity is aggregate verification, the joint problem leaves the SK single-letter class and admits a constrained-design feasibility band $R_{\min}(\varepsilon^) \leq R \leq R_{\max}(\beta^)$ of width $\log_2(K_{\max}/K_{\min})$ bits in partition cardinality. The reduction and the band are scope statements on the SK apparatus, not modifications to it. A smart-grid economic-dispatch example with a non-technical-loss-detection contrast illustrates the band.
toXiv_bot_toot
Jetzt Max Schröder zum AIMS-Projekt, das eine Plattform sein will, um "gemeinsam semantische Mtadatenprofile erstellen – ohne RDF-Kenntnisse": #bibliocon26
was es da nicht alles an Properties gibt ... im aktuellen sparql-Service finden sich (noch) keine Musen, scheint mir. Auch "hasLover" ist noch nicht vertreten.RDF-konforme Sacherschließung von Bunte&Co. ist also noch nicht angelaufen.
https://d-nb.info/standards/elementset
Why Should You Care About Dogfooding RDF 1.2 Specs?
You can ask a variety of questions via any AI agent that supports skills against the generated knowledge graph. All you need to do is load the Data Twingler skills and query using natural language, without being tripped up or distracted by hallucinations (since these skills include a KG-only mode that ensures no access to an LLM’s native graph unless you explicitly enable that modality).
Live Demo Links:
[1] https://linkeddata.uriburner.com/DAV/demos//daas/rdf12-primer-deepseek_v4pro-1.html -- HTML document that breakdown the RDF 1.2 primer doc
[2]
In der #bibliocon26 Session "Daten im Netzwerk" präsentiert @… den SPARQL-Endpoint der Deutschen Nationalbibliothek, mit dem komplexe Graph-Abfragen auf die GND, die Deutsche Nationalbibliographie und neuerdings auch die ZDB inklusive dem ISIL-Verzeic…
A demo based on post about the session. In this case, how AI Agent generated RDF-Turtle notes end up in a public Knowledge Graph that showcases the power of a Semantic Web.