Founder & CEO, OpenLink Software (#VirtuosoRDBMS, #YouI, #OSDS, creator)
#SSI: ni:///sha-256;xxdJ16bthZ724u0_xHvcNt0_Wu4ABxb56nPT50hNz-Q (denotes a SHA256 hash of a Public Key from a locally stored X.509 Cert)
#Nostr: d9c8c00017a2a345c2f32132436a26e1c72cb7a57e7b6b316f62dee2f8bcf8dd
Foci:
#OpenData, #LinkedData, #SemanticWeb, #KnowledgeGraph, #SPARQL, #HyperData, #DataConnectivity, #Web30, #DataSpaces, #Fediverse, #ActivityPub, #SocialMedia, #RSS, #RWW, #ODBC, #JDBC, #AI, #GenAI
Searchable.
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 all distractions)
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] https://linkeddata.uriburner.com/DAV/demos//daas/rdf12-primer-deepseek_v4pro-1.md -- Markdown rendition of HTML doc
[3] https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fwww.w3.org%2FTR%2Frdf12-primer%2F%23article -- Faceted Search & Browsing based HTML page
[4] https://linkeddata.uriburner.com/c/9u2mBAKo6Y -- SPARQL Query Results Page
In all cases, just click to explore using the follow-your-nose pattern
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).
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.
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..
Important post about the Semantic Web vision, history, and reincarnation in the age of AI.
I have a raw chat with Robert Scoble about the journey.
Links:
[1] https://youtu.be/4OQEXG5JukU?si=Y_xn5tuVv7f0vZm2 -- YouTube edition
[2] https://x.com/Scobleizer/status/2052781285417082925 -- X/Twitter edition
/cc @davew (you are mentioned in this session).
And:
4. The end of email spam and phishing-prone communication, replaced by PKI-backed interactions using hyperlinks to denote X.509 (or even JSON Web Token) subjects
5. A Web where logic is no longer buried in applications, but woven directly into the fabric of linked data—powering workflows that adapt to both present and future challenges
The pieces have been here all along.
Now, they finally work together.
Problems and solutions combos include:
1. Knowledge that is progressively generated, expressed using Linked Data principles, and realized as living knowledge graphs—not static documents
2. Fine-grained, attribute-based access control (ABAC) that protects data intelligently while enabling entirely new Data-as-a-Service (DaaS) business models
3. User-controlled, verifiable identity—no intermediaries required
The Semantic Web project didn’t fail. It delivered—early.
What it placed on the table remains unmatched as foundational infrastructure for solving critical problems. What was missing wasn’t vision, but timing.
LLMs have now arrived. Which means a Semantic Web-driven evolution of the Web, as broadly used and understood, can finally deliver the critical infrastructure needed to solve real problems.
#SemanticWeb #KnowledgeGraphs #LinkedData #AI #LLMs #ContextGraph