Home / Knowledge Continuum / Knowledge Continuum Specification
Knowledge Continuum
Build It. Shard It. License It. Monetize It.
Knowledge Continuum is an open source modular specification for building, organizing, sharding, licensing, distributing, and monetizing knowledge bases, datasets, and AI models across every information sector.
Specification
Knowledge Continuum defines a sector-independent architecture for treating knowledge, data, datasets, models, and their individual components as structured, independently addressable assets. The specification supports the creation of complete knowledge systems while allowing those systems to be progressively divided into smaller domains, subjects, topics, datasets, models, shards, and individual assets.
The architecture is designed to operate across every information sector, including education, science, medicine, law, finance, agriculture, engineering, technology, history, arts, business, government, environment, manufacturing, and future information sectors.
Every core module is designed to operate across every sector and knowledge level without requiring a separate architecture for each field.
Knowledge Hierarchy
Knowledge Continuum organizes information through a flexible hierarchy:
- Information Universe
- Information Sector
- Knowledge Domain
- Subject
- Topic
- Knowledge Level
- Dataset or Model
- Shard
- Individual Asset
The hierarchy provides a common organizational framework while allowing implementations to create additional relationships and classifications where necessary.
Knowledge Levels
Knowledge Continuum supports four progressive knowledge levels:
- Elementary
- Secondary
- Undergraduate
- Graduate / Higher Education
Knowledge can be organized across one or more levels, allowing the same subject matter to be represented at different levels of complexity, depth, terminology, and specialization.
Core Modules
Knowledge Architecture Module
Defines the fundamental structure used to organize knowledge and establish relationships between information sectors, domains, subjects, topics, levels, datasets, models, shards, and assets.
Features include:
- Hierarchical knowledge organization
- Cross-domain relationships
- Cross-sector relationships
- Cross-level relationships
- Parent and child relationships
- Related knowledge relationships
- Knowledge dependency mapping
- Knowledge composition
- Knowledge decomposition
- Custom classification
- Extensible metadata
- Persistent object identification
Information Sector Module
Provides a standardized mechanism for defining and managing information sectors.
Features include:
- Sector definitions
- Sector-specific taxonomies
- Sector metadata
- Cross-sector classification
- Sector relationships
- Sector-specific knowledge domains
- Sector inheritance
- Sector interoperability
- Future sector creation
All core functionality remains available regardless of the selected information sector.
Knowledge Domain Module
Defines major areas of knowledge within an information sector.
Features include:
- Domain creation
- Domain classification
- Domain relationships
- Domain dependencies
- Domain metadata
- Cross-domain references
- Domain versioning
- Domain ownership and attribution
Subject and Topic Module
Provides granular organization of knowledge within domains.
Features include:
- Subject definitions
- Topic definitions
- Subtopic definitions
- Topic relationships
- Topic dependencies
- Cross-subject references
- Topic-level metadata
- Knowledge-level alignment
Knowledge Level Module
Manages the four progressive knowledge levels supported by the specification.
Features include:
- Elementary knowledge representation
- Secondary knowledge representation
- Undergraduate knowledge representation
- Graduate and higher education knowledge representation
- Level-specific metadata
- Prerequisite relationships
- Progression relationships
- Cross-level mappings
- Level-specific versions
- Level-specific datasets and models
Knowledge Base Construction Module
Provides the mechanisms for creating complete structured knowledge bases.
Features include:
- Knowledge ingestion
- Knowledge organization
- Knowledge classification
- Knowledge linking
- Knowledge normalization
- Knowledge enrichment
- Knowledge relationships
- Knowledge dependencies
- Knowledge composition
- Knowledge decomposition
- Structured knowledge records
- Modular knowledge units
Dataset Construction Module
Provides mechanisms for creating structured datasets from source information.
Features include:
- Dataset creation
- Dataset segmentation
- Dataset normalization
- Dataset enrichment
- Dataset labeling
- Dataset classification
- Dataset validation
- Dataset versioning
- Dataset lineage
- Dataset dependency tracking
- Dataset composition
- Dataset decomposition
Model Construction Module
Provides mechanisms for organizing and managing AI models as modular knowledge objects.
Features include:
- Model registration
- Model metadata
- Model lineage
- Model versioning
- Model dependency tracking
- Training source tracking
- Dataset association
- Evaluation records
- Model composition
- Model decomposition
- Model shard management
- Model asset management
Sharding Module
Provides the core mechanism for dividing knowledge bases, datasets, and models into independently addressable shards.
Features include:
- Knowledge sharding
- Dataset sharding
- Model sharding
- Semantic sharding
- Subject-based sharding
- Topic-based sharding
- Knowledge-level sharding
- Sector-based sharding
- Functional sharding
- Geographic sharding
- Temporal sharding
- Custom sharding strategies
- Parent-child shard relationships
- Shard dependency tracking
- Shard recombination
- Shard replacement
- Shard versioning
- Shard integrity verification
Each shard maintains its own identity and metadata while remaining connected to its parent object and related components.
Asset Management Module
Defines the smallest independently addressable components within the Knowledge Continuum.
An asset may represent an individual knowledge item, record, document, data element, model component, training example, embedding, annotation, reference, or other discrete information component.
Features include:
- Unique asset identifiers
- Asset metadata
- Asset ownership records
- Asset provenance
- Asset licensing
- Asset permissions
- Asset pricing
- Asset versioning
- Asset dependencies
- Asset relationships
- Asset lineage
- Asset quality records
- Asset access policies
- Asset lifecycle management
Metadata Module
Provides standardized metadata for knowledge objects, datasets, models, shards, and assets.
Metadata may include:
- Identifier
- Name
- Description
- Information sector
- Domain
- Subject
- Topic
- Knowledge level
- Creator
- Contributors
- Source
- License
- Permissions
- Version
- Hash
- Provenance
- Dependencies
- Parent object
- Child objects
- Quality information
- Confidence
- Usage restrictions
- Economic terms
- Access rules
- Update history
Provenance and Lineage Module
Tracks where knowledge and its components originated and how they changed over time.
Features include:
- Source tracking
- Creator tracking
- Contributor tracking
- Transformation records
- Dataset lineage
- Model lineage
- Shard lineage
- Asset lineage
- Derivative relationships
- Parent-child lineage
- Source attribution
- Transformation history
- Provenance verification
Versioning Module
Provides persistent version control for knowledge objects and their components.
Features include:
- Knowledge base versions
- Dataset versions
- Model versions
- Shard versions
- Asset versions
- Version identifiers
- Change records
- Version comparison
- Rollback support
- Branching
- Merging
- Update lineage
- Historical state preservation
Integrity and Verification Module
Provides mechanisms for verifying the identity and integrity of knowledge objects.
Features include:
- Content hashes
- Asset hashes
- Shard hashes
- Dataset integrity records
- Model integrity records
- Version integrity
- Change verification
- Provenance verification
- Duplicate detection
- Tamper detection
- Integrity status
Validation and Quality Module
Provides mechanisms for assessing the quality and reliability of knowledge components.
Features include:
- Data validation
- Schema validation
- Structural validation
- Content validation
- Consistency checks
- Completeness checks
- Duplicate detection
- Quality scoring
- Evaluation records
- Validation history
- Human review
- Automated review
- Quality thresholds
Knowledge Confidence and Uncertainty Module
Represents the confidence, uncertainty, limitations, and evidentiary status of knowledge.
Features include:
- Confidence scoring
- Uncertainty representation
- Evidence strength
- Source reliability
- Conflicting information
- Confidence inheritance
- Confidence decay
- Human confidence assessments
- Automated confidence assessments
- Uncertainty propagation
- Confidence history
- Evidence relationships
Dependency and Relationship Module
Defines relationships between knowledge objects and their components.
Features include:
- Dataset dependencies
- Model dependencies
- Shard dependencies
- Asset dependencies
- Prerequisite relationships
- Derived-from relationships
- References
- Associations
- Replacement relationships
- Compatibility relationships
- Conflict relationships
- Dependency version tracking
Composition Module
Allows individual knowledge components to be recombined into larger knowledge systems.
Features include:
- Asset composition
- Shard composition
- Dataset composition
- Model composition
- Knowledge base composition
- Cross-sector composition
- Cross-level composition
- Dependency resolution
- Compatibility validation
- Composition lineage
- Reproducible builds
Licensing Module
Provides a structured mechanism for recording and managing rights associated with knowledge, datasets, models, shards, and individual assets.
Features include:
- License identification
- License metadata
- Rights records
- Permissions
- Restrictions
- Attribution requirements
- Derivative-use rules
- Redistribution rules
- Commercial-use rules
- Usage terms
- License inheritance
- License conflicts
- License compatibility
- Rights verification
- License history
The specification’s AGPL-3.0+ license applies to the repository software and specification. Individual datasets, models, shards, and assets may have separate licenses and rights determined by their respective creators, contributors, sources, or rights holders.
Access Control Module
Provides granular control over access to knowledge objects and their components.
Features include:
- Public access
- Private access
- Restricted access
- Role-based access
- User-based access
- Organization-based access
- Institutional access
- API access
- Time-limited access
- Conditional access
- Asset-level permissions
- Shard-level permissions
Monetization Module
Provides mechanisms for optionally assigning economic terms to knowledge components.
Features include:
- Free access
- One-time purchases
- Subscriptions
- Pay-per-use access
- API pricing
- Institutional licensing
- Commercial licensing
- Custom pricing
- Shard-level pricing
- Asset-level pricing
- Dataset pricing
- Model pricing
- Knowledge base pricing
- Sector-level pricing
- Knowledge-level pricing
- Access duration
- Usage limits
- Revenue records
Monetization may occur at any supported level without requiring every parent or child component to use the same economic model, subject to applicable rights and permissions.
Discovery and Search Module
Provides mechanisms for locating knowledge objects and their components.
Features include:
- Knowledge search
- Sector search
- Domain search
- Subject search
- Topic search
- Knowledge-level search
- Dataset search
- Model search
- Shard search
- Asset search
- Metadata search
- Provenance search
- License search
- Price search
- Dependency search
- Relationship search
Knowledge Exchange Module
Provides mechanisms for distributing and exchanging knowledge components.
Features include:
- Knowledge sharing
- Dataset exchange
- Model exchange
- Shard exchange
- Asset exchange
- Federated exchange
- Permission-aware exchange
- License-aware exchange
- Provenance preservation
- Version preservation
- Dependency preservation
- Exchange records
Record Keeping and Audit Module
Maintains real-time records of activity affecting knowledge objects and their components.
Features include:
- Creation records
- Modification records
- Access records
- Distribution records
- Licensing records
- Purchase records
- Version records
- Sharding records
- Composition records
- Dependency changes
- Validation events
- Provenance events
- Governance actions
- Audit history
Simulation and Testing Module
Provides mechanisms for testing knowledge systems, datasets, models, shards, and compositions before deployment.
Features include:
- Knowledge simulations
- Dataset simulations
- Model simulations
- Shard simulations
- Dependency testing
- Composition testing
- Access testing
- Licensing-rule testing
- Economic-rule testing
- Failure testing
- Integrity testing
- Scenario testing
- Reproducibility testing
Evaluation and Performance Module
Provides mechanisms for evaluating the performance and usefulness of knowledge components.
Features include:
- Dataset evaluation
- Model evaluation
- Knowledge evaluation
- Shard evaluation
- Asset evaluation
- Accuracy measurements
- Completeness measurements
- Reliability measurements
- Relevance measurements
- Performance history
- Comparative evaluation
- Evaluation provenance
Agent Integration Module
Provides standardized mechanisms for AI agents to discover, access, evaluate, use, compose, and exchange Knowledge Continuum components.
Features include:
- Agent knowledge discovery
- Agent access policies
- Agent asset retrieval
- Agent shard retrieval
- Agent dataset access
- Agent model access
- Agent provenance tracking
- Agent usage records
- Agent licensing enforcement
- Agent economic authorization
- Agent knowledge composition
- Agent knowledge exchange
Governance Module
Provides mechanisms for human oversight and organizational governance.
Features include:
- Governance policies
- Human review
- Approval workflows
- Dispute handling
- Rights review
- Quality review
- Change approval
- Access approval
- Licensing approval
- Economic policy approval
- Governance records
- Accountability records
Interoperability and Federation Module
Enables independent Knowledge Continuum implementations to exchange compatible knowledge components.
Features include:
- Federated knowledge systems
- Cross-instance discovery
- Cross-instance exchange
- Shared identifiers
- Metadata interoperability
- Provenance interoperability
- License interoperability
- Dependency interoperability
- Version interoperability
- Sector interoperability
- Knowledge-level interoperability
API and Interface Module
Defines standardized interfaces for interacting with Knowledge Continuum objects.
Features include:
- Knowledge queries
- Dataset queries
- Model queries
- Shard queries
- Asset queries
- Metadata retrieval
- Provenance retrieval
- License retrieval
- Version retrieval
- Dependency retrieval
- Access authorization
- Economic authorization
- Composition requests
- Exchange requests
Optional Plugin Modules
Knowledge Continuum supports optional plugins that extend the core architecture without changing the foundational specification.
Marketplace Plugin
Provides an optional marketplace for discovering, licensing, purchasing, and exchanging knowledge assets, shards, datasets, and models.
Payment Plugin
Adds optional payment processing for monetized knowledge components.
Subscription Plugin
Adds recurring subscription management for knowledge, dataset, model, shard, or asset access.
Analytics Plugin
Provides advanced usage, economic, performance, and knowledge analytics.
Embedding Plugin
Provides optional management of embeddings as independently addressable knowledge assets.
Vector Search Plugin
Adds specialized semantic retrieval and vector-based discovery capabilities.
Knowledge Graph Plugin
Adds graph-oriented representation of relationships between knowledge objects, entities, concepts, shards, and assets.
Reputation Plugin
Provides reputation scoring for creators, contributors, datasets, models, shards, assets, and knowledge providers.
Recommendation Plugin
Provides personalized or system-level recommendations for knowledge components based on relationships, usage, quality, permissions, and requirements.
Automated Curation Plugin
Provides automated discovery, classification, organization, deduplication, and curation of knowledge components.
External Source Connector Plugin
Provides optional connectors for importing knowledge from external repositories, databases, publications, archives, and information services.
Institutional Management Plugin
Provides additional capabilities for organizations managing private or institutional knowledge collections.
Marketplace Governance Plugin
Provides optional governance mechanisms for marketplaces, including dispute resolution, provider verification, moderation, and marketplace policy enforcement.
Shard Asset Model
The fundamental economic and structural unit of Knowledge Continuum is the independently addressable asset.
A shard may contain multiple assets, while an asset may remain independently addressable within its parent shard.
Each shard and asset should maintain:
- Persistent identity
- Version
- Integrity hash
- Provenance
- Creator and contributor records
- Source records
- License
- Permissions
- Access rules
- Economic rules
- Dependencies
- Parent relationships
- Child relationships
- Derivative relationships
- Quality information
- Confidence information
- Evaluation information
- Update history
This structure allows a complete knowledge system to be divided without losing the relationships, rights, provenance, or metadata associated with its individual components.
Granular Licensing and Monetization
Knowledge Continuum supports licensing and monetization at multiple levels:
- Complete knowledge base
- Information sector
- Knowledge domain
- Subject
- Topic
- Knowledge level
- Dataset
- Model
- Shard
- Individual asset
A knowledge system may therefore provide an entire collection for free while separately licensing individual datasets, shards, models, or assets.
Economic policies remain subject to the rights held by the person or organization providing the relevant component.
Modularity
Knowledge Continuum is designed so that implementations can assemble only the functionality they require while preserving compatibility with the complete specification.
Core modules define the foundational capabilities of the system.
Optional plugin modules provide specialized capabilities without requiring those capabilities to be present in every implementation.
Modules should maintain clear interfaces, independent responsibilities, reusable data structures, and interoperable relationships.
Sector Independence
The specification does not create separate architectures for different fields.
The same architecture can represent:
- Educational knowledge
- Scientific knowledge
- Medical knowledge
- Legal knowledge
- Financial knowledge
- Agricultural knowledge
- Engineering knowledge
- Technical knowledge
- Historical knowledge
- Artistic knowledge
- Business knowledge
- Government knowledge
- Environmental knowledge
- Manufacturing knowledge
- Emerging information sectors
Every sector can use the same organizational, sharding, provenance, licensing, access, validation, composition, and monetization mechanisms.
Design Principles
Knowledge Continuum is based on the following principles:
- Knowledge should be modular.
- Knowledge should be independently addressable.
- Knowledge should retain provenance throughout its lifecycle.
- Knowledge components should remain traceable to their sources.
- Datasets and models should be composable.
- Shards should remain connected to their parent objects.
- Individual assets should retain their own metadata and identity.
- Licensing should be explicit.
- Economic access should be optional.
- Monetization should be granular.
- Rights should not be inferred beyond documented permissions.
- Knowledge quality should be measurable.
- Uncertainty should be representable.
- Changes should be traceable.
- Systems should remain interoperable.
- Human oversight should remain possible.
- Core capabilities should be sector-independent.
- Optional functionality should be implemented through plugins.
- Knowledge should be reusable without sacrificing provenance or rights information.
Intended Outcome
Knowledge Continuum provides a common architecture for transforming large collections of information into structured, modular, independently addressable knowledge systems.
It enables organizations and individuals to build complete knowledge bases, datasets, and AI models while retaining the ability to divide those systems into progressively smaller components that can be independently identified, evaluated, licensed, distributed, accessed, exchanged, and monetized.
Knowledge Continuum
Build It. Shard It. License It. Monetize It.
Specification Branding License (SBL)
Standard
- Fully AGPL-3.0+ compliant system
- Copyleft enforced for network deployments
- Required attribution:
- Roxanne Ardary
- https://www.roxanneardary.com/
Optional
- Specification Branding License (SBL)
- Attribution-free commercial deployment
- Pricing based on scale, usage, and deployment scope
- https://roxanneardary.com/knowledge-continuum/
License & Notice Requirements
Knowledge Continuum is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
By contributing to any Open Arsenal project, you agree that your contributions will also be released under this license.
Please note the following:
- All contributions must comply with the AGPL-3.0+ terms.
- Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to:
Roxanne Ardary and roxanneardary.com. - Knowledge Continuum specifications are free to use with attribution. A Specification Branding License can be negotiated upon request.
- The project’s notice.md file tracks attribution requirements and contributor acknowledgments. Any update that adds new contributors or modifies attribution should also update
notice.md. - When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
- Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.
For full legal details, please refer to the AGPL-3.0+ license and the project’s notice.md file.
Notice – Knowledge Continuum
Attribution Requirement: Under Section 7 of the AGPL 3.0+ license, all redistributions, forks, and derivative works, including network-deployed versions of this project, must provide attribution to Roxanne Ardary and roxanneardary.com.
Contributors
This file tracks contributors and their specific contributions to the project.
- Roxanne Ardary, roxanneardary.com – September 2, 2026
Created the repository for Knowledge Continuum. Developed the modular open source specification for building, organizing, sharding, licensing, distributing, and monetizing knowledge bases, datasets, and AI models across every information sector. - [Add other contributors here] – [Date]
[Describe contribution in one sentence]
License – Knowledge Continuum
This repository is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
Key Points:
- You are free to use, modify, and distribute the code.
- All redistributions, forks, and derivative works or network-deployed versions must also be licensed under AGPL-3.0+ and provide attribution to Roxanne Ardary and roxanneardary.com as required under Section 7 of the license.
- The software is provided “as is,” without warranty of any kind.
For the full license text, see GNU AGPL-3.0 License.