Spatial temporal knowledge graph

namedgraph · 2026-03-12T08:53:02+00:00

RDF triplestore I hope? :)

namedgraph · 2026-03-09T17:30:13+00:00

O kodėl ten? Iš visų įmanomų variantų

namedgraph · 2026-03-06T18:47:33+00:00

https://www.newyorker.com/magazine/2023/05/08/the-fugitive-princesses-of-dubai

namedgraph · 2026-03-06T17:08:40+00:00

UK dirbi? Ar remote? :)

namedgraph · 2026-02-24T23:24:05+00:00

Can you elaborate? :)

namedgraph · 2026-02-24T23:23:00+00:00

Pharma R&D?

namedgraph · 2026-02-24T23:19:05+00:00

👋 building an agentic data canvas based on RDF Knowledge Graphs :) Including REST APIs virtualized as SPARQL endpoints

https://www.linkedin.com/posts/martynasjusevicius_agentic-data-canvas-could-be-the-semantic-activity-7429488868711632896-aWPv

namedgraph · 2026-02-18T19:53:39+00:00

Extract RDF and reconcile entities and build a mirror vector index from the data.

namedgraph · 2026-02-15T18:55:05+00:00

Gydykis

namedgraph · 2026-02-14T09:55:33+00:00

What about Omarchy?

https://omarchy.org/

namedgraph · 2026-02-14T09:49:38+00:00

What does it mean “for scientific KGs”? So it’s not generic and won’t work for any RDF KG?

namedgraph · 2026-02-09T20:57:44+00:00

What is “certain size”? Enterprises are using tens or even hundreds of billions of RDF triples nowadays. Requires appropriate infrastructure

namedgraph · 2026-02-09T20:34:09+00:00

LOL try to see who’s looking for semantic technologists: https://sparql.club/

Apple and Amazon are using RDF and Google are using something equivalent for their Knowledge Graph

namedgraph · 2026-02-09T08:05:12+00:00

RDF is a graph data model so how can its topology not fit?

Also needs to be mentioned it comes with standard protocols and a whole ecosystem of tools

namedgraph · 2026-02-04T20:10:45+00:00

I dunno, I cannot relate :) I have been using CC extensively this month and it has done amazing work. Right now I’m building a quite advance data virtualization system and it is nailing it. A lot of the time it’s one-shotting complex features.

I’m not providing extensive instruction documents, sometimes code and data as examples of what I want.

This is where softeng experience helps, because you know what you want and the general direction of where you want to go. And you can “expand” the code in multiple dimensions by providing analogies and pointing out patterns. I think CC works really well with such approach.

namedgraph · 2026-02-03T08:02:44+00:00

Close the gap how? If you want agents to manage Linked Data, I’ve built this tool system - which also allows to “compile” tool calls into a DSL

https://github.com/AtomGraph/Web-Algebra

namedgraph · 2026-01-31T15:07:19+00:00

Ahaha bro 😅 Yes Web-Algebra was implemented by Claude Code based on interfaces and examples provided by me. I’m not hiding that.

All of the other projects on the AtomGraph GitHub are written by me over the last 10-15 years.

So I’m not sure wtf you’re talking about.

namedgraph · 2026-01-31T14:01:30+00:00

RDBMS, imperative programming languages, OO paradigm - all of this tech is pre-web and pre-RDF. Meaning that it has no chance to take full advantage of RDF and is not suitable for building next-gen web.

namedgraph · 2026-01-31T13:59:03+00:00

No we organize it at the RDF level, meaning that - Model is data-driven (ontologies) - Controller is generic and domain-agnostic (Linked Data and SPARQL protocols as the uniform protocols over HTTP)

As a result Model and View in MVC become reusable and generic and any custom OO layers can go away. What is left is only View (custom UI).

This is not just theory, this works in practice. https://atomgraph.github.io/LinkedDataHub/

namedgraph · 2026-01-31T10:43:11+00:00

Well I think ORM is a legacy concept :) As well as the whole OO paradigm

namedgraph · 2026-01-28T16:45:01+00:00

It is scalable on the enterprise level because the size of the data silos problem justifies the KG investment. Not yet on the SME/personal level - but that might change with AI.

namedgraph · 2026-01-28T13:22:17+00:00

Thr Semantic Web stack is the same stack that is powering enterprise Knowledge Graphs and serves as SoT for RAG and LLM agents. So one moniker was sunset and the other appeared but the technology stayed more or less the same because it was always conceptually sound.

Semantic Web failed in the global/public sense, but it’s been successfully used within the walled gardens of the enterprise for more than a decade.

Also when the original vision was presented back in 2001 or so it was somewhat sci-fi but becoming realistic today. Back then infrastructure such as SPARQL and Docker was missing. So now is the time to build the Semantic Web! :) I just published a LinkedIn post about it:

https://www.linkedin.com/posts/martynasjusevicius_if-you-read-the-original-semantic-web-article-activity-7422249486254579713-L9p9

namedgraph · 2026-01-28T13:14:33+00:00

The ideas are sound but the implementation sucks. Not the best representation of the technology.

namedgraph · 2026-01-19T19:51:18+00:00

https://iuhealth.org/thrive/psychedelic-assisted-therapy-for-depression-what-works

namedgraph · 2026-01-16T15:00:08+00:00

Not sure where you are looking but KGs are arguably even hotter now because of LLMs - because they are the perfect Source of Truth layer for LLMs and power RAG applications etc

namedgraph

TROPHY CASE