Implementation Plan

From BITwiki

Management: BitWiki Implementation Plan

BitWiki reimagines knowledge organization through a recursive, modular architecture that evolves dynamically. This implementation plan details our phased approach—from modular templates and intelligent portals to AI-assisted content expansion and decentralized governance—while organizing all content via our comprehensive file tree.

Overview

BitWiki replaces static articles with self-contained, interlinked modules. This system supports:

  • **Dynamic content updates** via transclusion and AI scripts
  • **Automated category-based navigation** using stock MediaWiki integrations
  • **Decentralized governance and recursive verification** for continuous improvement

File Tree: Taxonomy for Article Organization

Below is the complete file tree outlining our BitWiki taxonomy. This structure forms the backbone of our content organization: 

/Server:BitWiki/                      # Represents the server. Root category for all BitWiki content
├── /Category:Portals/                   # High-Level Knowledge Entry Points
│   ├── Portal:Systems Theory            # Covers complex systems, fractal knowledge, & cybernetics
│   ├── Portal:Science Fields             # Covers Physics, Biology, Mathematics, AI
│   ├── Portal:Technology Fields          # Covers AI, Cybernetics, Web3, Automation
│   ├── Portal:Governance & Community     # Covers DAO, arbitration, BitWiki governance
│   ├── Portal:Philosophy                 # Covers Epistemology, Ontology, Rationalism
│   └── Portal:Recursive Intelligence     # Covers AI-assisted recursive knowledge expansion
│
├── /Category:Knowledge Fields/
│   ├── /Category:Science/
│       ├── /Category:Physics/
│           ├── /Category:Concepts/
│           │   ├── Concept:Gravity
│           │   └── Concept:Quantum Mechanics
│           ├── /Category:Timelines/
│           │   └── Timeline:History_of_Physics
│           └── /Category:Applied_Physics/
│       ├── /Category:Biology/
│           ├── /Category:Concepts/
│           │   ├── Concept:Evolution
│           │   └── Concept:Genetics
│           └── /Category:Simulations/
│   ├── /Category:Technology/
│       ├── /Category:Artificial Intelligence/
│       │   ├── Concept:Neural Networks
│       │   └── Concept:Machine Learning
│       └── /Category:Cybernetics/
│   ├── /Category:Philosophy/
│   ├── /Category:Mathematics/
│   └── /Category:Systems Theory/
│
├── /Category:Literacy & Knowledge Expansion/  # Core literacy architecture
│   ├── /Category:Indices/                # Large-scale topic maps
│       ├── Index:Knowledge Map            # Navigation across all categories
│       ├── Index:Scientific Concepts      # Physics, Biology, AI, etc.
│       ├── Index:Frameworks & Models      # Theoretical structures
│       ├── Index:Historical Timelines     # Key historical milestones
│       ├── Index:Sources & Citations      # Organized by type (primary, secondary, etc.)
│       ├── Index:Philosophical Theories   # Categorized epistemologies
│       └── Index:Governance & Arbitration # DAO & community structures
│
│   ├── /Category:Outlines/                # Topic breakdowns
│   │   ├── Outline:Physics
│   │   ├── Outline:Artificial Intelligence
│   │   ├── Outline:Cybernetics
│   │   ├── Outline:Mathematics
│   │   ├── Outline:Knowledge Frameworks
│   │   ├── Outline:Ethics & Governance
│   │   └── Outline:Recursive Intelligence
│
│   ├── /Category:Contents/                # High-level directory
│   │   ├── Contents:Science Fields
│   │   ├── Contents:Technology Fields
│   │   ├── Contents:Philosophy & Rationalism
│   │   ├── Contents:Literacy & Knowledge Architecture
│   │   └── Contents:Governance & Meta-Wiki
│
│   ├── /Category:Overview/ # SCOPE , SYNOPSIS
│       ├── Definition # EXPLANATION, INTERPRETATION, EXPLICATION
│       ├── Summary # ABSTRACT
│       ├── Scope_Importance # SIGNIFICANCE
│       ├── Historical_Context # ORIGINS, BACKGROUND, LEGACY
│       ├── Epistemic_Foundations # PRINCIPLES, PREMISES, FUNDAMENTALS
│       └── Knowledge_Evolution # TRAJECTORY, DEVELOPMENT, EXPANSION
│
│   ├── /Category:Concepts/ # 
│       ├── Foundations
│       ├── Key_Ideas
│       ├── Symbolic_Systems
│       ├── Cross-Disciplinary Literacy
│       └── Related_Fields
│
│   ├── /Category:Frameworks/
│       ├── Theoretical_Models
│       └── Knowledge Frameworks
│
│   ├── /Category:Applications/
│   │   ├── Case_Studies
│   │   ├── Applied_Knowledge
│   │   ├── Dynamic Knowledge Trends
│   │   ├── Expert_Opinions
│   │   ├── Interpretations_Paradigms
│
│   ├── /Category:Opinions/
│   │   ├──	Debates_Controversies
│
│   ├── /Category:Timelines/ # CHRONOLOGIC TRAJECTORY
│   │   ├── Key_Events # BREAKTHROUGHS
│   │   ├── Scientific_Developments # DISCOVERIES
│   │   ├── Social_Economic_Impact # IMPLICATIONS, EFFECTS, INFLUENCE
│   │   ├── Future_Predictions # FUTURE PREDICTIONS
│   │   └── Evolving Knowledge Patterns # ADAPTATIONS, TRANSFORMATIONS, SHIFTS
│
│   ├── /Category:Citations & Bibliography/ # REFERENCES, SOURCES, DOCUMENTATIONS
│   │   ├── Primary_Sources
│   │   ├── Secondary_Sources
│   │   ├── Academic_References
│   │   ├── Knowledge Maps # SCHEMAS, DIAGRAMS, NETWORKS
│   │   ├── Historical_Writings # RECORDS, DOCUMENTS
│   │   ├── Open_Data_Repositories # PUBLIC ARCHIVES PUBLIC DATA, RESEARCH BANKS
│   │   └── Contested_Theories # DISPUTES
│
│   └── /Category:Disambiguation/ 
│
├── /Category:Article Templates/         # Recursive Article Frameworks BLUE PRINTS. Self-adaptive modular structures 
│   ├── Template:Overview # Core literacy anchors. INSIGHT
│   ├── Template:Concepts  # Expanding recursive knowledge fields. FUNDAMENTALS, CORE IDEAS
│   ├── Template:Frameworks  # Self-adapting literacy pathways. MODELS  
│   ├── Template:Applications  # AI-human learning synthesis. USE CASES, IMPLEMENTATIONS
│   ├── Template:Chrono-Literacy  # Fractal knowledge auto-correction, TIMEMAPS 
│   └── Template:Citations_Bibliography # Timeline-aligned literacy expansion  . REFERENCE INDEXES
│
├── /BIT-Wiki/     
│		├── About_BitWiki
│   ├── Contribution_Guidelines
│   ├── Technical_Architecture                       
│   ├── /BitCore Frameworks/          
│		├── /Governance Frameworks/                         # Decentralized arbitration & knowledge evolution
│		│   ├── /DAO Knowledge Arbitration/
│		│   │   ├── /Active Proposals/
│		│   │   ├── /Voting & Dispute Resolution/
│		│   ├── /Editorial & Verification/
│		│   │   ├── /Peer Review Guidelines/
│		│   │   ├── /AI-Assisted Moderation/
│		└── /Category:Meta-Wiki & Technical Guides/
│		    ├── Help:Editing Guidelines
│		    ├── Help:Citation Management
│		    ├── Help:Modular Article Construction
│		    ├── Module:Citation (Lua automation)
│		    └── Module:Knowledge Expansion (Recursive Intelligence)
│
└── /Category:Special Pages/              # Auto-generated indexes
    ├── Special:AllPages
    ├── Special:RecentChanges
    └── Special:Random

Implementation Phases

Phase 1: Modular Templates & Transclusion-Based Structuring

  • Objective: Break large, static articles into dynamic, self-contained sections.
  • Key Components:
 * **Dynamic Article Templates:** Create modular templates (e.g.,  
   * `Template:Overview`  
   * `Template:Concepts`  
   * `Template:Frameworks`  
   * `Template:Applications`  
   * `Template:Chrono-Literacy`  
   * `Template:Citations_Bibliography`)
 * **Transclusion:** Embed sections using transclusion for real-time updates.
  • Example Usage:
{{:Bitcoin/Overview}}
{{:Bitcoin/Concepts}}
{{:Bitcoin/Frameworks}}
{{:Bitcoin/Applications}}
{{:Bitcoin/Citations}}
  • Benefits:
 * Real-time updates via AI scripting and recursive validation.
 * Simplified maintenance and enhanced scalability.

Phase 2: Advanced Portals for High-Level Navigation

  • Objective: Create intelligent entry points that dynamically guide users through interconnected topics.
  • Implementation:
 * **Portal Design:** Use standard MediaWiki integrations such as `Special:CategoryTree` and ``.
 * **Layout:** Employ minimal, modern design with CSS standards and in-built templates.
  • Sample Portal Code (e.g., Portal:Systems Theory):
<div style="background-color: #f9f9f9; padding: 20px;">
  <h1 style="text-align: center; color: #333;">Welcome to the Systems Theory Portal</h1>
</div>

<div style="background-color: #f0f0f0; padding: 20px;">
  <h2 style="color: #666;">Overview</h2>
  <p style="color: #444;">Systems theory is an interdisciplinary approach to understanding complex systems across various domains.</p>
</div>

{{Special:CategoryTree|category=Systems Theory|mode=pages|depth=2}}

<div style="background-color: #f9f9f9; padding: 20px;">
  <h2 style="color: #666;">Core Topics</h2>
  * [[Biological Systems]]
  * [[Cultural Systems]]
  * [[Digital Systems]]
  * [[Neurological Systems]]
  * [[Quantum Systems]]
  * [[Social Systems]]
</div>

<div style="background-color: #f0f0f0; padding: 20px;">
  <h2 id="related">Related Fields</h2>
  {{Special:WhatLinksHere/Systems_Theory}}
</div>

{{Footer}}
[[Category:Portal]]
[[Category:Systems Theory]]
  • Benefits:
 * Intuitive navigation across our recursive network.
 * Automated content population and real-time updates.

Phase 3: AI-Assisted Knowledge Expansion

  • Objective: Integrate AI tools to automate content validation, citation management, and dynamic updates.
  • Key Components:
 * **Lua Modules:** For example, the `Module:Citation` pulls live citation data from external APIs.
 * **Dynamic Content Updates:** AI continuously monitors and recommends enhancements for content gaps.
  • Example Lua Script:
local p = {}

function p.getCitations(frame)
  local api_url = "https://api.crossref.org/works?query=" .. frame.args.query
  return mw.http.fetch(api_url)
end

return p
  • Benefits:
 * Increased content accuracy and credibility.
 * Automation of citation and update processes, reducing manual overhead.

Additional Components and Governance

  • Contribution Flow:
 * Identify Gaps: Interactive maps and AI-driven recommendations highlight areas needing expansion.
 * Propose Contributions: A streamlined “Propose” interface enables quick submissions and edits.
 * Validation: Community peer review paired with AI verification ensures balanced, high-quality content.
  • Decentralized Governance:
 * A combination of AI oversight and community arbitration ensures content integrity.
 * Contribution tokens and merit recognition systems incentivize quality input.
  • Recursive Expansion Model:
 * Articles self-evolve through modular, self-referential updates.
 * The structure supports both static snapshots and live, continuously updated content.

Conclusion

BitWiki is not just another encyclopedia—it is a self-evolving, recursive intelligence field. By implementing modular templates, advanced portals, AI-assisted updates, and decentralized governance, we are building the future of collaborative knowledge.

Next Steps:

  • Deploy the BitWiki MediaWiki fork with integrated recursive intelligence layers.
  • Launch community engagement initiatives and contribution workflows.
  • Expand AI integration for live updates and automated validation.

BitWiki is not static content—it is a dynamic, living ecosystem. Let’s build the future of knowledge together!

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