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

Hi all,

Although I don't know if I'm up to the task of having this conversation,
sure I'd like to collaborate.

For now have this point of view regarding embeddings in a Graph / Semantic
(Triple Statements) context. Don't know if this applies to your current
paths of development but this proposal involves a simple mathematical
approach of reasoning with embeddings (infer similarity, relationships an
analogies) strongly relying on FCA (Formal Concept Analysis)[1]. See
appendix A.2 of RoadmapDetail3.5.pdf[2] and appendix E of
RoadmapDetail3.6.pdf[3] to see if this point of view resembles useful for
anybody.

1) https://jfsowa.com/logic/math.htm#Lattice
2)
https://github.com/sebxama/sebxama/raw/refs/heads/main/RoadmapDetail3.5.pdf
3)
https://github.com/sebxama/sebxama/raw/refs/heads/main/RoadmapDetail3.6.pdf

Regards,
Sebastian Samaruga.

https://sebxama.blogspot.com/2025/08/eai-framework.html


On Fri, Aug 15, 2025, 1:30 PM Daniel Ramos <daniel@echosystems.ai> wrote:

> Hi Milton,
>
> Thank you for your thoughtful note—your decades‑long search for a unifying
> paradigm resonates deeply with me. I share the belief that knowledge has
> both symbolic structure and spatial form, and Knowledge3D grew out of that
> conviction.
>
> *Mathematical underpinnings*
> K3D doesn’t rely on a single proprietary formula; instead, it stitches
> together mature tools from several domains:
>
>    -
>
>    *Vector semantics* (high‑dimensional embeddings) to encode meaning
>    geometrically.
>    -
>
>    *Graph theory* to preserve explicit causal and relational links.
>    -
>
>    *3D geometry* and modern rendering pipelines to make those structures
>    navigable in space.
>
> The specification and sample datasets in the repository show how these
> pieces fit into a unified node schema, but we’re still drafting a formal
> paper that walks through the math in detail.
>
> *Why K3D exists now*
> My background across AI product design, spatial computing, and enterprise
> knowledge graphs convinced me that the prerequisites already existed—we
> simply needed to synthesize them. Today’s vector databases, real‑time 3D
> engines, and open graph standards finally make the “knowledge universe”
> practical instead of aspirational.
>
> *On FMEAI*
> The broader metaphysical framework you referenced—Filosofia Metafísica
> Energética Atômica Infinita (FMEAI, in English Infinite Atomic Energetic
> Metaphysical Philosophy)—is a parallel, personal line of some 30 years
> inquiry I’m pursuing as long‑term scientific research. It informs my
> worldview, but it sits outside the current K3D roadmap.
>
> I’d be delighted to continue this conversation and explore where your work
> and ours intersect. If you have papers or models that illustrate your
> spatial‑symbolic approach, I’d love to see them. Likewise, when our
> in‑progress technical draft is ready, I’ll make sure you receive a copy.
>
> Tell me if you or others reading us can contribute to our humble
> repository in any way, we're looking for people to help craft the future.
>
> Warm regards,
> Daniel Ramos
> Founder, Knowledge3D / EchoSystems
> daniel@echosystems.ai
>
> On 8/15/25 1:01 PM, Milton Ponson wrote:
>
> Dear Daniel,
>
> I like the spatial representation of knowledge concept.
> Thirty something years ago I embarked on a journey to find a unifying
> paradigm, not a grand unified theory, to capture and to incorporate
> theoretical physics, mathematics, philosophical discourse, social sciences,
> the many forms of logic and the genetic and neuroscience and cognitive
> science aspects of knowledge and reasoning.
> It is my firm belief that knowledge is both symbolic and spatial.
> My original starting point was the concept of sunyata in the Madhyamaka
> Middle Way Buddhist philosophy.
> Sunyata can be described as the generalized concept of everything not
> labeled, not observed, not qualified and not quantified.
> A subset of this in physics is the zero point field concept.
>
> The same philosophy also describes the concept of dependent origination or
> dependent arising which implies causality relationships.
>
> The Langlands program hinges on showing the relationship between the
> fields of number theory and representation theory.
>
> Because unifying paradigms for mathematics will automatically provide
> unifying paradigms for theoretical physics and IMHO the other way around
> too is has become evident that theoretical physics,  mathematics,
> cognitive architectures and the knowledge representation for all of these
> share specific areas of algebraic geometry,  topology and spatial
> structures that can be described as specialized manifolds or algebraic
> spatial structures.
>
> A special case is 3d knowledge representation. Hence my interest in what
> you are doing.
>
> Where can I find some papers outlining the mathematics on which the
> Knowledge3D concept is built?
>
>
> Milton Ponson
> Rainbow Warriors Core Foundation
> CIAMSD Institute-ICT4D Program
> +2977459312
> PO Box 1154, Oranjestad
> Aruba, Dutch Caribbean
>
> On Wed, Aug 13, 2025, 16:05 Daniel Ramos <daniel@echosystems.ai> wrote:
>
>> 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.
>> ------------------------------
>> 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.
>> ------------------------------
>> 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.
>>
>> ------------------------------
>> 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.
>>
>> ------------------------------
>>
>> 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
>> 📞 +55 61 98151‑3053
>> GitHub: https://github.com/danielcamposramos/Knowledge3D
>>
>