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159 lines
4.1 KiB
Markdown
159 lines
4.1 KiB
Markdown
---
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title: "Seed Module"
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description: "Seed data management for initializing Knowledge Graphs from trusted, verified sources."
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icon: "database"
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---
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> Bootstrap Knowledge Graphs with verified taxonomies, reference data, and foundation graphs.
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---
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## Overview
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The **Seed Module** provides a system for initializing Knowledge Graphs with verified, structured data from trusted sources — enabling you to start with a reliable foundation rather than an empty graph.
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<CardGroup cols={3}>
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<Card title="Multi-Source Loading" icon="database">
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Load seed data from CSV, JSON, databases, and APIs.
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</Card>
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<Card title="Foundation Graph" icon="diagram-project">
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Build a reliable KG foundation to bootstrap extraction.
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</Card>
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<Card title="Data Integration" icon="code-merge">
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Merge seed data with extracted data using configurable strategies.
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</Card>
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<Card title="Validation" icon="circle-check">
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Validate seed data quality and schema compliance.
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</Card>
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<Card title="Versioning" icon="code-branch">
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Manage and track versions of seed data sources.
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</Card>
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<Card title="Export" icon="file-export">
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Export seed data to standard formats.
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</Card>
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</CardGroup>
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<Tip>
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**When to use the Seed Module:**
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- **Bootstrapping** — you have existing structured data (taxonomies, user lists, product catalogs) and want to build on them.
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- **Reference data** — loading immutable reference information (countries, codes, constants).
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- **Testing** — loading consistent datasets for development and CI.
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</Tip>
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---
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## SeedDataManager
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```python
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from semantica.seed import SeedDataManager
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manager = SeedDataManager()
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manager.register_source("countries", "csv", "data/countries.csv")
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foundation_kg = manager.create_foundation_graph()
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```
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| Method | Description |
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|--------|-------------|
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| `register_source(name, format, location)` | Add a data source |
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| `create_foundation_graph()` | Build KG from registered sources |
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| `validate_quality(seed_data)` | Check data quality |
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| `integrate_with_extracted(seed, extracted)` | Merge seed and extracted graphs |
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| `export_seed_data(path, format)` | Export seed data |
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---
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## SeedDataSource
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```python
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from semantica.seed import SeedDataSource
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source = SeedDataSource(
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name="taxonomy",
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type="json", # "csv" | "json" | "api" | "sql"
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path="taxonomy.json",
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config={"encoding": "utf-8"}
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)
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```
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---
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## Merge Strategies
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```python
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final_kg = manager.integrate_seed_extracted(
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seed_graph=foundation_kg,
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extracted_data=new_data,
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strategy="seed_first" # "seed_first" | "extracted_first" | "smart_merge"
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)
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```
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| Strategy | Behavior |
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|----------|----------|
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| `seed_first` | Seed data overrides extracted data |
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| `extracted_first` | Extracted data overrides seed data |
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| `smart_merge` | Property-level merging with conflict resolution |
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---
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## Bootstrapping a KG
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```python
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from semantica.seed import SeedDataManager
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from semantica.ingest import FileIngestor
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# Load foundation from verified data
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manager = SeedDataManager()
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manager.register_source("taxonomy", "json", "taxonomy.json")
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foundation_kg = manager.create_foundation_graph()
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# Ingest and merge new data
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ingestor = FileIngestor()
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new_data = ingestor.ingest("news_articles.pdf")
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final_kg = manager.integrate_seed_extracted(
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seed_graph=foundation_kg,
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extracted_data=new_data,
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strategy="seed_first"
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)
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```
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---
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## Configuration
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```yaml
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seed:
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sources:
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- name: "employees"
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type: "csv"
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path: "./data/employees.csv"
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merge:
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strategy: "seed_first"
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validation:
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strict: true
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```
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```bash
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export SEED_DATA_DIR=./data/seed
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export SEED_MERGE_STRATEGY=seed_first
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```
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---
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## See Also
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<CardGroup cols={2}>
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<Card title="Ingest" icon="file-import" href="ingest">
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Load unstructured data alongside seed data.
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</Card>
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<Card title="Knowledge Graph" icon="diagram-project" href="kg">
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The target graph structure.
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</Card>
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<Card title="Deduplication" icon="copy" href="deduplication">
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Handle duplicates during merge.
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</Card>
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<Card title="Pipeline" icon="gear" href="pipeline">
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Incorporate seed loading in a pipeline.
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</Card>
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</CardGroup>
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