{
  "canonicalUrl": "https://xn--mwe.com/research/machine-intelligence-ontology-registry/",
  "correctionStatus": "CURRENT K05 RELEASE",
  "findings": [
    "The report treats 1\\. Metadata and Research-Status Front Matter as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.",
    "The report treats 2\\. Executive Terminology Brief as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.",
    "The report treats 3\\. Editorial Principles as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.",
    "The report treats 4\\. Ontology Architecture as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.",
    "The report treats 5\\. Complete Canonical Glossary as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.",
    "The report treats Direct-Answer Table for AEO (Answer Engine Optimization) as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.",
    "The source report identifies this proposition for governed review: Verification vs. Certification (RQ9): Engineering communities treat Verification as the internal, objective process of ensuring a system meets its design specifications3. Certification is the external legal or cryptographic attestation of that fact. Verification is the action; Certification is the artifact.",
    "The source report identifies this proposition for governed review: Identity vs. Credentials (RQ6): In security architecture (NIST SP 800-207A / SPIFFE), a Workload Identity is derived dynamically from verifiable facts about the workload (its runtime environment, hash, node) rather than a stored credential (a secret password or API key)7. Identity is inherent (\"what the workload is\"); a credential is transferable (\"what it holds\").",
    "The source report identifies this proposition for governed review: Autonomy vs. Sovereignty (RQ10): Autonomy is a technical capability—the ability to execute programmatic loops and adapt to environments without continuous human prompting. Sovereignty is a legal and political status—the absolute authority over a domain. An autonomous drone possesses autonomy but entirely lacks legal sovereignty.",
    "The source report identifies this proposition for governed review: MachineIntelligence \\-\\ hasIdentity \\-\\ WorkloadIdentity.",
    "The source report identifies this proposition for governed review: MachineIntelligence \\-\\ executes \\-\\ Activity.",
    "The source report identifies this proposition for governed review: MachineIntelligence \\-\\ possesses \\-\\ Capability."
  ],
  "headings": [
    "Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication",
    "1\\. Metadata and Research-Status Front Matter",
    "2\\. Executive Terminology Brief",
    "3\\. Editorial Principles",
    "4\\. Ontology Architecture",
    "5\\. Complete Canonical Glossary",
    "Direct-Answer Table for AEO (Answer Engine Optimization)",
    "6\\. Contested-Term Analysis",
    "7\\. Deprecated and Prohibited Conflations",
    "Preferred and Deprecated Synonyms",
    "8\\. Legal Terminology",
    "9\\. Technical Terminology",
    "10\\. Philosophical Terminology",
    "11\\. Evidence and Operational-Status Terminology",
    "12\\. Concept Graph",
    "13\\. URL and Route Architecture",
    "14\\. JSON-LD and Machine-Readable Representation",
    "15\\. .uai Representation",
    "16\\. Translation and Localization (RQ17)",
    "17\\. Governance and Versioning (RQ15, RQ16)",
    "18\\. Validation and Quality Control",
    "19\\. Open Questions",
    "21\\. Claim-to-Source Traceability",
    "22\\. Integration Appendix",
    "Recommended Paths and Registry Location",
    ".uai Pointer and Term-Index Format",
    "Durable Memory Statements (45 core facts)",
    "Candidate Updates to Core Files",
    "Proposed Term Version and Supersession Fields",
    "Proposed Public DefinedTermSet and Term-Page Architecture",
    "Works cited"
  ],
  "id": "REP-K01-001",
  "lastReviewed": "2026-08-16",
  "machineRecordUrl": "https://xn--mwe.com/data/reports/machine-intelligence-ontology-registry.json",
  "originalFilename": "Machine Intelligence Ontology Registry(1).md",
  "qualification": "The raw report remains a governed research input and does not become current law, verified implementation, operational authority, or project doctrine merely through inclusion.",
  "rawSourcePublic": false,
  "releaseId": "K12-2026-08-16",
  "researchCutoff": "2026-08-16",
  "slug": "machine-intelligence-ontology-registry",
  "source": "machine-intelligence-ontology-registry-1.md",
  "sourceRevalidatedAt": "2026-08-15T23:00:00Z",
  "sourceSha256": "bc0aed04ca6b36c662d39af01ba771a195b3f029acaa6dffb0ece20264025fd8",
  "sourceSizeBytes": 98109,
  "sourceStatus": "reference-source; review and correct before active use",
  "sourceTitle": "Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication",
  "status": "RESEARCH FINDING",
  "summary": "A governed terminology and ontology program for distinguishing models, systems, agents, identities, credentials, institutions and legal statuses without allowing vocabulary to manufacture authority.",
  "title": "Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication",
  "topic": "terminology-ontology",
  "type": "ReportSynthesis"
}