Industrial Metaverse Technology Taxonomy (IMV-taxonomie)

Enterprise Research Taxonomy & Interactive Web Engine
Activity of the Reallabor 2.0 project at the ARENA2036 Research Campus, funded by the Ministry of Economic Affairs, Labour and Tourism Baden-Württemberg.
🌐 Live Interactive Browser: https://arena2036.github.io/IMV-taxonomie/

---

📌 1. Executive Summary

This repository contains the open research taxonomy, interactive web browser, and Baukasten Use Case specifications for numerous audited Industrial Metaverse technologies, standards, and protocols structured strictly into the ARENA2036 5-Schichten Industrial Metaverse Tech-Stack and 1:1 Layer-to-Category Decimal System (Categories 1.1–5.2):

[ SCHICHT 1: Erfassung (1.1–1.8) ] ──► [ SCHICHT 2: Geometrie (2.1–2.4) ] ──► [ SCHICHT 3: Middleware (3.1–3.3) ] ──► [ SCHICHT 4: Simulation (4.1–4.4) ] ──► [ SCHICHT 5: Immersion (5.1–5.2) ]

---

📚 2. Centralized Documentation & Governance Index

All technical, product, governance, and agent documentation files are standardized and centralized:

Document	Description / Purpose	Location
System Architecture	5-Layer Stack Technical Specs (Left-to-Right Flow & 1:1 Decimal Codes)	docs/ARCHITECTURE.md
Baukasten Use Cases	Multi-Stage Workflow Model & PR Contribution Guide	docs/USECASES.md
Product Requirements	PRD Specifications, Target Personas & Cost Tier Models	docs/PRD.md
Contribution Guide	Guidelines for adding new tools, PR workflow & Tier justification	CONTRIBUTING.md
Open Source License	Dual MIT (Code) & CC-BY-4.0 (Taxonomy Data)	LICENSE
JSON Schema Standard	Canonical 19-field validation schema for profile JSONs	.github/schema/tool-taxonomy.schema.json
AI Agent Guidelines	LLM Developer Instructions, Prompt Rules & Schema Specifications	.agents/AGENTS.md
Audit & Changelog	Itemized Quality Audit Report & Deliverables Log	AUDIT_LOG.md

---

🛠️ 3. Technology Stack & Open Standards

Rather than reinventing proprietary wheels, this project is built 100% on established international industrial open standards and browser-native web primitives:

• Industrial & 3D Open Standards:
  • Asset Administration Shell (AAS / IEC 63278): International standard for industrial Digital Twins & Digital Product Passports.
  • OPC UA (IEC 62541) & MQTT Sparkplug B: Universal open OT communication standards.
  • OpenUSD (Pixar/NVIDIA AOUSD) & glTF 2.0 (Khronos Group): Open 3D geometry exchange standards.
  • STEP AP242 (ISO 10303) & JT (ISO 14306): Mechanical CAD exchange standards.
  • Eclipse Dataspace Connector (EDC): Sovereign data space connector standard (Catena-X / Manufacturing-X).
• Browser-Native Web Primitives:
  • UI & Grid: HTML5, Vanilla JavaScript (ES6+), Bootstrap 5.3.
  • Immersive Spatial Web: WebXR Device API (W3C standard for browser-native 3D/AR/VR without plugins).
  • Diagramming & Icons: Mermaid.js, FontAwesome 6.
  • Typography Standard: Arial Black (Headings), Montserrat (Body), JetBrains Mono (RefCodes).
• Zero-CORS Data Pipeline: 100% JSON-driven single source of truth (profiles/*.json & usecases/*/usecase.json) with zero external database dependencies and instant file:// local execution.

---

💾 4. Data Architecture & Pipeline

The application is 100% JSON-driven without external database overhead:

taxonomy.config.json          <- Canonical 5-layer / 21-category taxonomy (SINGLE SOURCE)
profiles/*.json               <- Canonical JSON profile specifications (91 profiles)
usecases/[slug]/usecase.json  <- Canonical Baukasten Use Case specifications & media assets
       │
       ▼ [Run node scripts/generate_profiles.js or npm run build]
data/
   ├── index.json             <- Compiled JSON index manifest for HTTP fetch()
   └── index_data.js          <- Static window wrapper (window.INDEX_DATA & window.PROFILES_DATA)
usecases/
   ├── index.html             <- Auto-generated Use Cases hub page
   └── [slug]/index.html      <- Auto-generated standalone HTML page per Use Case

---

⚙️ 5. Local Development & Setup

Prerequisites

• Node.js (v18+) installed locally.

Local Setup & Server Launch

# 1. Clone the repository
git clone https://github.com/ARENA2036/IMV-taxonomie.git
cd IMV-taxonomie

# 2. Rebuild index manifest deliverables
node scripts/generate_profiles.js

# 3. Launch local dev web server
npx http-server -p 8080

Then open http://localhost:8080 in your web browser.

---

📁 6. Directory Structure

├── index.html               # Full-Canvas Greeter Landing Page
├── guide.html               # Orientierung & Praxis Leitfaden
├── browser.html             # Interactive Taxonomy Browser (Grid & List View)
├── architecture.html        # 5-Layer Left-to-Right System Architecture Specification
├── impressum.html           # ARENA2036 Legal Impressum & Disclaimers
├── index.css                # Minimal Design System & ARENA2036 Orange Accents
├── app.js                   # Pure JSON Client Engine & Full-Canvas Modal Inspector
├── profiles/*.json          # 91 Canonical Technology JSON Specifications
├── usecases/                # Self-Contained Use Case Directories & Generated Pages
│   ├── index.html           # Auto-generated Use Cases Hub Page
│   └── [slug]/              # Per-Use-Case Folder (usecase.json, index.html, assets/)
├── scripts/
│   ├── generate_profiles.js     # Node Data Pipeline Indexer & SSG Trigger
│   └── generate_usecase_pages.js # Static HTML SSG Generator for Use Case Pages
├── docs/
│   ├── ARCHITECTURE.md      # 5-Layer Stack Technical Specs (Left-to-Right Flow)
│   ├── USECASES.md          # Use Case Model & PR Contribution Guide
│   └── PRD.md               # Product Requirements Document & Target Personas
├── .agents/
│   └── AGENTS.md            # AI Agent Developer Guidelines & Schema Rules
├── .gitignore               # Production-Grade Git Ignore Rules
├── AUDIT_LOG.md             # Itemized End-to-End Audit Log
└── README.md                # Root Enterprise Documentation Index

---

🤖 7. AI & Agentic Workflows

This project is co-developed and maintained partially using Agentic AI Workflows. Autonomous agentic workflows assist with:

• Canonical Data Pipeline & Profile Indexing: Automated compilation and schema validation across canonical JSON technology profiles and 6 Baukasten Use Cases.
• Architectural & Design Consistency: Automated visual auditing, responsive UI alignment, and 1:1 Layer-to-Category decimal system restructuring.
• Documentation & Repository Hygiene: Automated synchronization of technical documentation (docs/), agent guidelines (.agents/AGENTS.md), and production git rules (.gitignore).

---

⚖️ Legal & Non-Financial Advice Disclaimer

📌 RECHTLICHER HINWEIS: Alle Angaben zu Kostengruppen (Tier 1–3), Nutzenpotenzialen und Technologie-Evaluierungen dienen der akademischen und strategischen Orientierung (Research Benchmarks) und stellen KEINE direkte Finanz-, Anlage- oder Rechtsberatung dar. Diese Zusammenstellung stellt ausdrücklich KEINE kommerzielle Produktwerbung oder herstellerseitige Vorzugsempfehlung dar.