Re: [ontolog-forum] RDF finally has its long awaited Generic Client!

Hi John,

On 9/30/25 10:17 AM, John Erickson wrote:
> I'm confused; what is the actual RDF _client_ we're talking about?


Any of the current LLM-based chatbots (ChatGPT, Claude, Gemini, Grok, 
etc.), or their LLMs via API interactions, can serve as clients that 
generate and consume RDF simply based on natural language instructions.


For example, you can issue prompts like:

“Generate a detailed report about {some-event} in RDF using terms from 
{vocabularies X, Y, Z}.”

This works for sporting events like soccer or NFL games, as well as 
current affairs events.

Likewise, you can transform content in non-RDF formats into RDF, or 
generate SPARQL queries (including SPARQL Protocol URLs). In short, all 
the bases are covered.


Kingsley

>
> My "read" of Kingsley's message was more that LLMs facilitate building 
> RDF-consuming clients, and not specifically about _A_ client.
>
> If so, where is it? Where's the link to the web app? How do I download 
> it? etc...
>
> John
>
> On Tue, Sep 30, 2025 at 9:52 AM Filip Kolarik <filip26@gmail.com> wrote:
>
>     On Tue, Sep 30, 2025 at 11:50 AM Alex Shkotin
>     <alex.shkotin@gmail.com> wrote:
>
>         Hi Kingsley,
>
>
>         A good article about using RDF and user interface
>         functionality. But I believe that any information generated by
>         LLM should be marked "May contain errors."
>
>         So all those beautiful tables, diagrams, and documents should
>         display this sign prominently.
>
>
>
>     I like this client. Thank you, Kingsley, for sharing it. It has
>     its use cases, even though we all know it’s heuristic. That said,
>     it’s still useful for many scenarios, like running quick,
>     conceptual queries to get business data estimates, projections,
>     and insights, etc.
>
>     For other cases, where precise calculations, explainability, and
>     trusted outcomes are required, LLM-based agents could help develop
>     and deliver solutions that are accurate, explainable, and, with
>     proper legal oversight, accountable. The key is combining LLM
>     capabilities with human expertise to balance speed and creativity
>     with accuracy and reliability. I’m not imagining some “AI
>     programmer,” but rather a powerful toolset built on LLMs that
>     effectively leverages knowledge.
>
>     After all, it’s never been about "generating code", but about
>     understanding and clearly communicating the requirements and
>     constraints, that’s the real issue we deal with.
>
>     Best regards,
>     Filip
>
>         For me, user interface functionality that reflects the power
>         of RDF is more important.
>
>
>         Best regards,
>
>
>         Alex
>
>
>
>         пн, 29 сент. 2025 г. в 19:48, 'Kingsley Idehen' via
>         ontolog-forum <ontolog-forum@googlegroups.com>:
>
>             Hi Everyone,
>
>             It’s been a while!
>
>             Something important is happening right now, thanks to the
>             emergence of LLMs as the long-awaited generic RDF client
>             (the so-called “killer app”). We all know how Mosaic →
>             Mozilla/Netscape made HTML and HTTP globally usable by
>             end-users and developers alike. Well, the very same thing
>             is finally happening with RDF—albeit some 20+ years later
>             than expected.
>
>             Here’s a post I recently published on LinkedIn about this
>             critical development:
>
>             https://www.linkedin.com/pulse/large-language-models-llms-powerful-generic-rdf-clients-idehen-xwhfe
>
>             -- 
>             Regards,
>
>             Kingsley Idehen 
>             Founder & CEO
>             OpenLink Software
>             Home Page:http://www.openlinksw.com
>             Community Support:https://community.openlinksw.com
>
>             Social Media:
>             LinkedIn:http://www.linkedin.com/in/kidehen
>             Twitter :https://twitter.com/kidehen
>
>
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-- 
Regards,

Kingsley Idehen 
Founder & CEO
OpenLink Software
Home Page:http://www.openlinksw.com
Community Support:https://community.openlinksw.com

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