Fwd: [Announcement] Procedural Memory Knowledge Representation (PM-KR) Community Group — Call for Participation

Dear W3C Community,

I'm excited to announce that the

**Procedural Memory Knowledge Representation (PM-KR) Community Group**

proposal has been published and is now open for public review and 
participation:

📢 **Official Announcement**:

https://www.w3.org/community/blog/2026/02/20/proposed-group-procedural-memory-knowledge-representation-community-group/
<https://www.w3.org/community/blog/2026/02/20/proposed-group-procedural-memory-knowledge-representation-community-group/>
🔗 **Join the Group**:
https://www.w3.org/community/pm-kr/

## What is PM-KR?

*Current knowledge representation* systems *suffer* from *massive 
duplication and fragmentation*: the same knowledge (e.g., a Unicode 
character, mathematical symbol, or spatial concept) is duplicated across 
fonts, embeddings, accessibility metadata, and visual renderings. 
Redundant representations can create maintenance, performance, security, 
and licensing issues.

The PM-KR Community Group will develop a knowledge representation 
paradigm where knowledge is stored once as executable procedures (like 
font programs or mathematical formula definitions) and referenced via 
symlink-style composition, enabling both humans and AI systems to 
consume the same procedural source.

The group will study data models, execution semantics, conformance 
levels, and relationships with other W3C technologies (e.g., RDF, OWL, 
JSON-LD).

## Why This Matters to Your Group

### 🔗 For JSON-LD & RDF/Semantic Web Communities
**Interoperability and Compression**: PM-KR complements RDF/JSON-LD by 
providing procedural execution semantics and compression through 
symlink-style composition. We'll study bidirectional mapping strategies, 
enabling hybrid deployments where PM-KR handles hot-path execution while 
RDF/JSON-LD provides discovery and metadata layers. Translation loss 
analysis and compatibility guidelines will be key deliverables.

### 🎨 For Immersive Web (WebXR) Community
**Spatial Knowledge Navigation**: PM-KR extends glTF's `extras.k3d` 
field to encode spatial knowledge in 3D assets, enabling dual-client 
reality where humans and AI agents navigate the same 3D knowledge 
workspace. This supports semantic proximity = spatial proximity patterns 
in XR environments.

### ♿ For Web Accessibility (WAI) Community
**Dual-Client Accessibility**: PM-KR's procedural sources (like font 
programs and formula definitions) can be rendered across multiple 
modalities—visual glyphs for sighted users, semantic descriptions for 
screen readers, tactile patterns for braille displays—all from the same 
canonical source. This eliminates dual-maintenance overhead and ensures 
consistency across accessibility tools.

### 🤖 For AI & Machine Learning Communities
**AI Knowledge Representation Integration**: The PM-KR paradigm directly 
addresses AI knowledge representation challenges. Notably, **AI KR 
(Artificial Intelligence Knowledge Representation) work naturally lives 
inside the PM-KR umbrella**—where knowledge is stored as executable 
procedures that both humans and AI systems can consume. This enables:
- **Compression without information loss**: Symlink-style composition 
reduces duplication while preserving semantic fidelity
- **Sovereign execution**: Zero external dependencies in runtime hot 
paths (critical for AI inference)
- **Explainability**: Procedural sources are inherently auditable and 
traceable (vs. black-box embeddings)
- **Multi-modal reasoning**: Unified workspace for visual, spatial, 
symbolic, and procedural knowledge

### 🕸️ For Knowledge Graph Communities
**Graph Compression and Execution**: PM-KR complements property graph 
and RDF graph approaches by introducing procedural 
canonicalization—storing graph patterns as reusable procedures rather 
than duplicating structure. This supports knowledge graph construction 
with reduced redundancy and executable semantics.

## How to Participate

**Join the Community Group**: https://www.w3.org/community/pm-kr/
- Free W3C account required (create at https://www.w3.org/accounts/request)
- No membership fees, open participation
- Public mailing list, GitHub repositories, monthly meetings

**Contribute to the Discussion**:
- Review the proposal and share feedback
- Propose use cases from your domain (accessibility, XR, knowledge 
graphs, AI)
- Participate in interoperability studies (RDF/OWL/JSON-LD mapping)
- Help shape conformance levels and test suites

**Motivation and Prior Work**:
This group is motivated by prior work on Knowledge3D 
(https://github.com/danielcamposramos/Knowledge3D), and that work may 
inform the group's discussions. That work does not constrain the group's 
discussions, nor will it be a deliverable of this group. We welcome 
alternative implementations and approaches!

## Timeline and Deliverables

**Public Comment Period**: Now through March 2026
**Expected CG Launch**: April 2026
**First Deliverables**: Study data models, execution semantics, 
relationships with W3C technologies (RDF, OWL, JSON-LD)

**Potential Outputs** (subject to group consensus):
- Data model specification (procedural composition, symlink references)
- Execution semantics (dual-client rendering, canonical procedures)
- Conformance levels (core, sovereign runtime, auditable production)
- Interoperability guidelines (RDF/OWL/JSON-LD bidirectional mapping)
- Use case documentation (accessibility, XR, knowledge graphs, AI systems)

## Contact and Resources

**Mailing List** (once CG launches): public-pm-kr@w3.org
**Proposal**: 
https://www.w3.org/community/blog/2026/02/20/proposed-group-procedural-memory-knowledge-representation-community-group/
**Reference Work**: https://github.com/danielcamposramos/Knowledge3D

**Questions?** Reply to this email or contact me directly at 
daniel@echosystems.ai

## Why Join?

- **Cross-domain impact**: Work that benefits accessibility, XR, 
knowledge graphs, and AI systems simultaneously
- **Empirically grounded**: Motivated by real-world validation and 
production use cases
- **Open collaboration**: No patents, public mailing lists, transparent 
decision-making
- **Interoperability focus**: Designed to complement existing W3C 
standards (RDF, OWL, JSON-LD, glTF)

**Philosophy**: We patent nothing. We publish everything. We build in 
the open.

I look forward to collaborating with all of you on this exciting new 
direction for knowledge representation!

Best regards,
Daniel Ramos

Founder, Knowledge3D Project
Proposed Chair, PM-KR Community Group
daniel@echosystems.ai
https://github.com/danielcamposramos/Knowledge3D