Re: Invitation to Co-Shape a 3-D Standard for AI Knowledge — Collaboration Opportunity with K3D

I'm trying to follow up on what you wrote, Daniel:

Rich, reusable vocabularies
K3D links plain‑language terms to formally typed nodes, making ontologies explorable by humans and machines.
Facets & provenance
Each K3D node carries first‑class metadata (technology, legislation, ethics, etc.)—a perfect companion for your “resources & metadata” track.




I'm having problems tracking down the plain-language terms or the K3D nodes in the repo - can you please provide a pointer?

Thanks
Pete

Pete Rivett (pete.rivett@federatedknowledge.com)
Federated Knowledge, LLC (LEI 98450013F6D4AFE18E67)
tel: +1-701-566-9534
Schedule a meeting at https://calendly.com/rivettp


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From: Daniel Ramos <daniel@echosystems.ai>
Sent: Friday, August 1, 2025 1:22 PM
To: public-aikr@w3.org <public-aikr@w3.org>
Subject: Invitation to Co-Shape a 3-D Standard for AI Knowledge — Collaboration Opportunity with K3D


Dear AI KR Community Group colleagues,

I’m Daniel Campos Ramos, founder of EchoSystems and lead maintainer of the open‑source K3D (Knowledge 3‑D) project. Our teams share the same north‑star: to make AI knowledge easier to specify, exchange, and reuse. I’m reaching out to invite the AI KR Community Group to collaborate on turning K3D into a W3C‑aligned standard.

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Why this matters to AI KR
AI KR Priority  How K3D advances it
Rich, reusable vocabularies     K3D links plain‑language terms to formally typed nodes, making ontologies explorable by humans and machines.
Facets & provenance     Each K3D node carries first‑class metadata (technology, legislation, ethics, etc.)—a perfect companion for your “resources & metadata” track.
Open implementations    Reference code (MIT license) for vector DB storage, REST/Graph APIs, and a 3‑D browser UI—ready for chat bot/NLU pipelines.
Public awareness & learning     A spatial interface lets students fly through concept maps instead of paging through PDFs, boosting engagement and comprehension.
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What collaboration could look like

  1.  Spec alignment workshops – Map K3D‑Node attributes to the AI KR vocabulary and agree on extension points.

  2.  Joint concept‑map pilot – Build a shared “AI Ethics & Governance” space illustrating multi‑facet nodes (policy, datasets, case studies).

  3.  Open review cycle – Publish a draft W3C Community Group Note co‑authored by AI KR & EchoSystems contributors.

  4.  Community demo day – Showcase live K3D spaces at an upcoming AI KR meeting to gather feedback and recruit maintainers.

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Ways to get started this week

  *   Explore and contribute to the repo: https://github.com/danielcamposramos/Knowledge3D


  *   Open an issue: Tag it [W3C‑AIKR] so we can triage collaborative tasks quickly.

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We believe K3D can become the coordinate system of AI knowledge, and that vision only works if it’s shaped by the community that already curates the field’s best practices—namely, you.

I’d be honored to discuss next steps or set up a brief call.

Warm regards,

Daniel Campos Ramos
Founder, EchoSystems · Maintainer, K3D
📧 daniel@echosystems.ai<mailto:daniel@echosystems.ai>
📞 +55 61 98151‑3053
GitHub: https://github.com/danielcamposramos/Knowledge3D