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Big Tech Data Ontology

The Big Tech Data Ontology represents a sophisticated semantic information architecture project designed to organize and interconnect approximately 300 content pieces covering the technology industry's most significant companies, innovations, and societal impacts. This comprehensive ontology development initiative demonstrates the practical application of knowledge graph principles, structured data implementation, and semantic web technologies to create machine-readable, queryable content relationships that enhance both human discoverability and AI-powered information retrieval.

Content Relationship Map

SILICON VALLEY (Geographic)

    │

    ├─── Contains ────→ Organizations (Google, Meta, Apple)

    ├─── Influences ──→ Tech Culture

    ├─── Home to ─────→ Venture Capital

    └─── Produces ────→ Products & Services

 

AI (Technology)

    │

    ├─── Developed by ─→ Organizations (OpenAI, Anthropic)

    ├─── Uses ────────→ Infrastructure (Data Centers, Internet)

    ├─── Powers ──────→ Products (ChatGPT, Claude)

    ├─── Raises ──────→ Issues (Ethics, Jobs, Bias)

    └─── Subject to ──→ Oversight (Regulation)

 

DATA CENTERS (Infrastructure)

    │

    ├─── Operated by ─→ Organizations (Google, Amazon)

    ├─── Enables ─────→ Services (Cloud, AI)

    ├─── Impacts ─────→ Communities (Resource use)

    ├─── Faces ───────→ Resistance (Local opposition)

    └─── Subject to ──→ Oversight (Regulation)

 

SEARCH ENGINES (Service)

    │

    ├─── Operated by ─→ Organizations (Google, Microsoft)

    ├─── Uses ────────→ Algorithms

    ├─── Collects ────→ Data (Privacy concerns)

    ├─── Generates ───→ Revenue (Advertising)

    └─── Subject to ──→ Oversight (Antitrust)

 

CRYPTO (Technology + Service)

    │

    ├─── Uses ────────→ Infrastructure (Energy-intensive)

    ├─── Provided by ─→ Services (Exchanges)

    ├─── Raises ──────→ Issues (Scams, Regulation)

    └─── Subject to ──→ Oversight (SEC, regulators)

ROBOTICS (Technology + Product)

    │

    ├─── Deployed by ─→ Organizations (Amazon, Tesla)

    ├─── Affects ─────→ Labor (Displacement)

    ├─── Uses ────────→ AI Technology

    └─── Raises ──────→ Issues (Safety, Jobs)

 

SURVEILLANCE (Technology)

    │

    ├─── Used by ─────→ Organizations + Governments

    ├─── Embedded in ─→ Products (Devices, Apps)

    ├─── Threatens ───→ Privacy

    └─── Subject to ──→ Oversight (Regulation)

 

OVERSIGHT (Regulatory)

    │

    ├─── Governs ─────→ All Categories

    ├─── Conducted by ─→ Regulatory Bodies

    ├─── Addresses ───→ Issues (Monopoly, Privacy)

    └─── Results in ──→ Fines, Policy Changes

Big Tech Entities 

AI Class

Ontology Path:

`Technology → ArtificialIntelligence`

Key Themes:

- AI development and deployment

- Training data and datasets

- Model capabilities and limitations

- Ethical considerations

- Job displacement concerns

- Bias and fairness

 

Related Companies:

OpenAI, Anthropic, Google, Meta, Microsoft

Subcategories:

 

Machine Learning

- Algorithm development

- Model training

- Data science

- Neural networks

- Deep learning

 

Natural Language Processing

- Language models (GPT, Claude, etc.)

- Text generation

- Understanding and translation

- Chatbots and assistants

 

Computer Vision

- Image recognition

- Facial recognition

- Object detection

- Visual AI applications

Oversight & Organization Class

Ontology Path: `RegulatoryMatter → GovernmentOversight`

 

Key Themes:

- Antitrust enforcement

- Privacy regulation

- Content moderation policy

- Platform accountability

- Monopoly power

- Market competition

 

Related Bodies: FTC, DOJ, SEC, European Commission, Congressional committees

Ontology Path: `Organization → TechCompany → BigTechCompany`

 

Major Companies Documented:

Google/Alphabet

Amazon

Meta/Facebook

Apple

Microsoft

 

Emerging Players:

- OpenAI

- Anthropic

- Tesla

- NVIDIA

- ByteDance (TikTok)

  • Ontology Path: `Service → SearchEngine`

     

    Key Themes:

    - Market dominance

    - Advertising model

    - Algorithm manipulation

    - Privacy concerns

    - Information gatekeeping

     

    Related Companies: Google, Microsoft (Bing), DuckDuckGo

  • Ontology Path: `Service → SocialMediaPlatform`

    Key Themes:

    - Mental health impacts

    - Misinformation

    - Content moderation

    - Privacy violations

    - Teen safety

    - Political influence

     

    Related Companies: Meta, Twitter/X, ByteDance (TikTok)

  • Ontology Path: `Service → CommunicationService`

    Key Themes:

    - Privacy and encryption

    - Surveillance concerns

    - Remote work

    - Platform consolidation

    Related Companies: Meta (WhatsApp), Zoom, Microsoft

  • Ontology Path: `Service → GamingService`

    Key Themes:

    - Subscription models

    - Cloud gaming

    - Monetization

    - Gaming addiction

    - Competitive gaming

    Related Companies: Microsoft, Sony, Google (Stadia)

  • Ontology Path: `Service → CryptocurrencyService`

    Key Themes:

    - Regulation

    - Scams and fraud

    - Market manipulation

    - Consumer protection

    Related Companies: Coinbase, Binance, FTX (collapse)

  • Ontology Path: `Service → PaymentService` | `Service → FinancialService`

    Key Themes:

    - Digital payments

    - Financial inclusion

    - Data collection

    - Consumer debt

    - Platform power

    Related Companies: Apple, Google, PayPal, Square/Block

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