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Governance ontologyRole and responsibility taxonomyResource classification schemaProposal and decision metadata standardsContribution tracking modelInteroperability and federation schema
Standardize terminology and definitionsFormalize governance data structuresPrevent semantic drift across roles and unitsEnable auditability and analyticsSupport cross-instance coordinationPreserve institutional memory
Reduce interpretive conflictClarify authority boundariesEnable monitoring and analyticsSupport automation and execution systemsEnable cross-instance interoperabilityPreserve longitudinal institutional coherence
What governance entities exist? (Member, Role, Proposal, Vote, Treasury, Sub-unit, etc.)What is the formal definition of each entity?What relationships exist between entities?Governance entity registryFormal entity definitionsEntity relationship mapFlag undefined authority-bearing entitiesFlag ambiguous entity overlaps
Are roles permanent or dynamic?Are roles operational, oversight, or advisory?Are roles individual or collective?Role taxonomy schemaAuthority tier mappingResponsibility matrixMust align with Operational role registry
What resource types exist? (Financial, informational, digital, reputational, ecological, etc.)How are resources categorized?What metadata is required per category?Resource taxonomyAsset classification structureMetadata requirementsMust align with Treasury governance framework
What fields must every proposal include?How are decisions categorized?How is voting data stored?What lifecycle states exist?Proposal metadata schemaDecision lifecycle taxonomyVoting record structureStatus definitionsMust align with Governance Processes
How is contribution measured?Is participation qualitative, quantitative, or hybrid?What indicators influence governance legitimacy?Contribution metrics modelParticipation tracking schemaLegitimacy indicatorsMust align with Incentive Systems
Will the institution federate with other instances?What data must be portable?What identifiers must be standardized?How is schema versioning managed?Federation schemaData portability standardsIdentifier logicVersion compatibility frameworkFlag schema incompatibilityFlag identity conflicts
VI. Semantic Standards
VI. Semantic Standards
Governance Ontology & Data Schema Framework
Purpose
Define the shared conceptual, terminological, and data structures that enable coherent institutional coordination. This domain formalizes governance ontology, classification systems, metadata standards, and interoperability schemas required for authority clarity, transparency, auditability, and federation. Where Institutional Design Principles define structural logic, Semantic Standards define the language and data schema through which that logic becomes measurable and interoperable.
Institutional Integration
Function
Semantic Standards:
Without shared semantic structure, governance fragments across interpretation contexts.
With it, distributed institutions remain interoperable and structurally aligned.
Why This Matters
Semantic Standards:
Scaling without semantic discipline introduces drift.
Standardization enables consistent execution across contexts.
VI. Semantic Standards Formation Module AI Onboarding Guide
This module defines the institutional conceptual and data architecture. Completion precedes technical deployment or federation.
Governance Ontology
Core Entity Definitions
AI Prompts
Required Output
Validation
Role & Responsibility Taxonomy
Role Classification
AI Prompts
Required Output
Validation
Resource Classification
Asset & Resource Schema
AI Prompts
Required Output
Validation
Proposal & Decision Metadata
Governance Data Standards
AI Prompts
Required Output
Validation
Contribution Tracking Model
Participation Data Architecture
AI Prompts
Required Output
Validation
Interoperability & Federation Schema
Cross-Instance Compatibility
AI Prompts
Required Output
Validation
Structured Output Schema
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