Aggregated Distribution

note: maybe we will do them, maybe we won't

A node's aggregated distribution is a compilation of all the child data flows of its contained data nodes (their _data-flow/_current/ snapshots), situated directly under the parent node with an intuitive filename like "nodename.ext".

Both bare node and dataset reference nodes can have aggregate distributions. data nodes include their own data in the aggregation.

Purpose

Aggregated distributions enable composable semantic data by:

Combining contained nodes data into a single resource
Supporting modular ontology and knowledge base construction

Generation Process

During Weave Process, aggregated distributions are created by:

Scanning contained data nodes recursively within the mesh structure
Collecting _data-flow/_current/ distributions from each flow
Merging content with proper URI resolution and prefix handling
Excluding _config and _meta datasets (data content only)
Generating multiple distributions (.ttl, .rdf, .jsonld) as configured

Examples

Composable Ontology

/my-ontology/
├── my-ontology.ttl              ← Aggregated distribution
├── my-ontology.rdf              ← Aggregated distribution  
├── my-ontology.jsonld           ← Aggregated distribution
├── components/
│   ├── Person/                  ← data node (class definition)
│   ├── hasName/                 ← data node (property definition)
│   └── Organization/            ← data node (class definition)

Knowledge Base

/biotech-kb/
├── biotech-kb.ttl               ← Aggregated distribution
├── biotech-kb.jsonld            ← Aggregated distribution
├── companies/
│   ├── genentech/               ← Company data node
│   └── moderna/                 ← Company data node
└── products/
    ├── drug-x/                  ← Product data node
    └── vaccine-y/               ← Product data node

Technical Considerations

Merging logic handles:

Relative path resolution - Converting relative URIs to absolute
Prefix consolidation - Deduplicating namespace declarations
Graph merging - Combining RDF graphs from multiple sources; de-duplicating
Base URI handling - Ensuring consistent URI resolution

Use Cases

Ontologies - Classes and properties from contained nodes
Vocabularies - Terms and definitions from specialized nodes
Catalogs - Dataset metadata from multiple sources
Knowledge bases - Facts distributed across domain-specific nodes
Configuration data - Settings aggregated from component services

data flow - Source datasets for aggregation
Weave Process - Process that generates aggregated distributions
flow snapshot - Contains the actual distributions being aggregated

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