mirror of
https://github.com/semantica-agi/semantica.git
synced 2026-08-30 04:40:16 +00:00
KaifAhmad1
409f3fdd27
- Added grid‑card layouts, icons, and admonitions to all reference pages - Removed all mkdocstrings ::: directives that caused alias‑resolution errors - Fixed export module alias issue (RDFExporter) by cleaning the docs - Updated README‑style sections for better readability - Added a PowerShell helper script (remove_mkdocstrings.ps1) for future clean‑ups
685 lines
18 KiB
Markdown
685 lines
18 KiB
Markdown
# Export Module
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> **Export knowledge graphs and data to multiple formats with W3C-compliant serialization.**
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---
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## 🎯 Overview
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<div class="grid cards" markdown>
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- :material-file-export:{ .lg .middle } **Multi-Format Export**
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---
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Support for 10+ export formats including RDF, JSON, CSV, GraphML
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- :material-database-export:{ .lg .middle } **Graph Databases**
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---
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Direct export to Neo4j, ArangoDB, Memgraph with Cypher generation
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- :material-code-json:{ .lg .middle } **RDF Serialization**
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---
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W3C-compliant formats: Turtle, RDF/XML, JSON-LD, N-Triples
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- :material-cog:{ .lg .middle } **Custom Serializers**
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---
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Extensible serialization framework for custom formats
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- :material-flash:{ .lg .middle } **Batch Export**
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---
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Efficient large-scale data export with streaming support
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- :material-file-multiple:{ .lg .middle } **Multiple Outputs**
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---
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Export to Cytoscape.js, D3.js, Gephi, Graphviz formats
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</div>
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!!! tip "Choosing Export Format"
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- **Development**: Use Turtle for human-readable RDF
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- **APIs**: Use JSON-LD for web services
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- **Visualization**: Use GraphML or Cytoscape.js
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- **Databases**: Use Neo4j Cypher or CSV for bulk import
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---
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## ⚙️ Algorithms Used
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### Serialization Algorithms
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- **RDF/XML Serialization**: W3C RDF/XML specification
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- **Turtle Serialization**: Compact RDF format with prefix compression
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- **JSON-LD Serialization**: JSON-based linked data with context
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- **GraphML Generation**: XML-based graph format
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- **Cypher Query Generation**: Neo4j query language generation
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### Export Optimization
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- **Streaming Export**: Memory-efficient export for large graphs
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- **Batch Processing**: Chunked export with configurable batch sizes
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- **Compression**: GZIP compression for large exports
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- **Incremental Export**: Export only changed data
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---
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## Main Classes
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### RDFExporter
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Export knowledge graphs to RDF formats (Turtle, RDF/XML, JSON-LD, N-Triples).
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**Methods:**
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| Method | Description | Algorithm |
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|--------|-------------|-----------|
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| `export(graph, filename, format)` | Export to RDF format | RDF serialization with format-specific encoding |
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| `serialize(graph, format)` | Serialize to string | In-memory RDF generation |
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| `validate(rdf_data)` | Validate RDF syntax | RDF schema validation |
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| `add_namespace(prefix, uri)` | Add namespace | Prefix registration |
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| `set_base_uri(uri)` | Set base URI | Base URI configuration |
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**Supported RDF Formats:**
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| Format | Extension | Description | Use Case |
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|--------|-----------|-------------|----------|
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| **Turtle** | .ttl | Compact, human-readable | Development, debugging |
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| **N-Triples** | .nt | Line-based, simple | Streaming, processing |
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| **RDF/XML** | .rdf | XML-based, verbose | Legacy systems |
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| **JSON-LD** | .jsonld | JSON with linked data | Web APIs, JavaScript |
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| **N-Quads** | .nq | N-Triples with graphs | Named graphs |
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**Example:**
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```python
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from semantica.export import RDFExporter
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exporter = RDFExporter(
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base_uri="http://example.org/",
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namespaces={
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"ex": "http://example.org/",
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"foaf": "http://xmlns.com/foaf/0.1/"
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}
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)
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# Export to Turtle
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exporter.export(
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graph=kg,
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filename="output.ttl",
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format="turtle"
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)
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# Export to JSON-LD
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exporter.export(
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graph=kg,
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filename="output.jsonld",
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format="json-ld"
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)
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```
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---
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### JSONExporter
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Export knowledge graphs to JSON formats including JSON-LD, Cytoscape.js, and D3.js.
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**Methods:**
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| Method | Description | Algorithm |
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|--------|-------------|-----------|
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| `export(graph, filename, format)` | Export to JSON | JSON serialization with schema |
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| `export_nodes(graph)` | Export nodes only | Node extraction and serialization |
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| `export_edges(graph)` | Export edges only | Edge extraction and serialization |
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| `export_cytoscape(graph)` | Export Cytoscape.js format | Cytoscape JSON generation |
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| `export_d3(graph)` | Export D3.js format | D3 force-directed graph format |
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**JSON Formats:**
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- **Standard JSON**: Simple node/edge lists
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- **JSON-LD**: Linked data with @context
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- **Cytoscape.js**: For Cytoscape visualization
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- **D3.js**: For D3 force-directed graphs
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- **Neo4j JSON**: Neo4j-compatible format
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**Example:**
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```python
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from semantica.export import JSONExporter
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exporter = JSONExporter()
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# Standard JSON export
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exporter.export(kg, "output.json", format="standard")
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# JSON-LD export
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exporter.export(kg, "output.jsonld", format="json-ld")
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# Cytoscape format
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exporter.export_cytoscape(kg, "cytoscape.json")
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```
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---
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### GraphExporter
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Export to graph visualization formats (GraphML, GEXF, DOT, Pajek).
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**Methods:**
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| Method | Description | Algorithm |
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|--------|-------------|-----------|
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| `export(graph, filename, format)` | Export to graph format | Format-specific serialization |
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| `to_graphml(graph, filename)` | Export to GraphML | XML-based graph format |
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| `to_gexf(graph, filename)` | Export to GEXF | Gephi exchange format |
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| `to_dot(graph, filename)` | Export to DOT | Graphviz format |
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| `to_pajek(graph, filename)` | Export to Pajek | Pajek network format |
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**Graph Formats:**
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| Format | Tool | Use Case |
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|--------|------|----------|
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| **GraphML** | yEd, Gephi | General graph visualization |
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| **GEXF** | Gephi | Network analysis |
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| **DOT** | Graphviz | Diagram generation |
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| **Pajek** | Pajek | Large network analysis |
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| **GML** | Various | Graph Modeling Language |
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**Example:**
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```python
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from semantica.export import GraphExporter
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exporter = GraphExporter()
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# Export to GraphML
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exporter.to_graphml(kg, "graph.graphml")
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# Export to DOT for Graphviz
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exporter.to_dot(kg, "graph.dot")
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```
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---
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### Neo4jExporter
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Export directly to Neo4j graph database with Cypher query generation.
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**Methods:**
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| Method | Description | Algorithm |
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|--------|-------------|-----------|
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| `export(graph, uri, username, password)` | Export to Neo4j | Cypher query execution |
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| `generate_cypher(graph)` | Generate Cypher queries | CREATE/MERGE statement generation |
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| `batch_import(graph, batch_size)` | Batch import | Chunked Cypher execution |
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| `create_indexes(properties)` | Create indexes | Index creation for performance |
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| `create_constraints(constraints)` | Create constraints | Uniqueness constraint creation |
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**Cypher Generation:**
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```cypher
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// Node creation
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CREATE (n:Person {name: "Steve Jobs", born: 1955})
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// Relationship creation
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MATCH (a:Person {name: "Steve Jobs"}), (b:Organization {name: "Apple Inc."})
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CREATE (a)-[:FOUNDED]->(b)
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```
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**Example:**
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```python
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from semantica.export import Neo4jExporter
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exporter = Neo4jExporter()
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# Direct export to Neo4j
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exporter.export(
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graph=kg,
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uri="bolt://localhost:7687",
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username="neo4j",
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password="password"
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)
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# Generate Cypher queries
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cypher_queries = exporter.generate_cypher(kg)
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print(cypher_queries)
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```
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---
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### CSVExporter
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Export to CSV format for spreadsheets and database imports.
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**Methods:**
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| Method | Description | Algorithm |
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|--------|-------------|-----------|
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| `export_nodes(graph, filename)` | Export nodes to CSV | Node flattening and CSV writing |
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| `export_edges(graph, filename)` | Export edges to CSV | Edge list CSV generation |
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| `export_combined(graph, prefix)` | Export nodes + edges | Separate CSV files |
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| `flatten_properties(properties)` | Flatten nested properties | Recursive property flattening |
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**CSV Formats:**
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- **Nodes CSV**: id, label, properties (flattened)
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- **Edges CSV**: source, target, type, properties
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- **Neo4j Import Format**: Neo4j-compatible CSV
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**Example:**
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```python
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from semantica.export import CSVExporter
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exporter = CSVExporter()
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# Export nodes and edges separately
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exporter.export_nodes(kg, "nodes.csv")
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exporter.export_edges(kg, "edges.csv")
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# Or combined export
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exporter.export_combined(kg, prefix="graph")
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# Creates: graph_nodes.csv, graph_edges.csv
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```
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---
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### VectorExporter
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Export vector embeddings to various formats.
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**Methods:**
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| Method | Description | Algorithm |
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|--------|-------------|-----------|
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| `export(embeddings, filename, format)` | Export vectors | Format-specific vector serialization |
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| `export_numpy(embeddings, filename)` | Export to NumPy | .npy format |
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| `export_hdf5(embeddings, filename)` | Export to HDF5 | Hierarchical data format |
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| `export_parquet(embeddings, filename)` | Export to Parquet | Columnar storage format |
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---
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## Configuration
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```yaml
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# config.yaml - Export Configuration
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export:
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rdf:
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default_format: turtle
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base_uri: "http://example.org/"
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include_provenance: true
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validate_output: true
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json:
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pretty_print: true
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indent: 2
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ensure_ascii: false
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graph:
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include_metadata: true
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export_properties: true
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neo4j:
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batch_size: 1000
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create_indexes: true
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create_constraints: true
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csv:
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delimiter: ","
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quote_char: "\""
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encoding: "utf-8"
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include_header: true
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```
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---
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## Performance Characteristics
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### Export Speed
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| Format | Small Graph | Large Graph | Compression |
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|--------|-------------|-------------|-------------|
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| JSON | Fast | Medium | Good with gzip |
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| RDF/XML | Medium | Slow | Poor |
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| Turtle | Fast | Fast | Good |
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| CSV | Very Fast | Very Fast | Excellent |
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| Neo4j | Medium | Medium | N/A |
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### Memory Usage
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- **Streaming Export**: Constant memory usage
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- **Batch Export**: Memory proportional to batch size
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- **Full Export**: Memory proportional to graph size
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---
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## See Also
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- [Knowledge Graph Module](kg.md) - Build graphs
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- [Visualization Module](visualization.md) - Visualize exported graphs
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- [Core Module](core.md) - Framework orchestration
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## Overview
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- **Multi-Format Export**: Support for 10+ export formats
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- **Graph Database Export**: Direct export to Neo4j, ArangoDB, Memgraph
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- **RDF Serialization**: W3C-compliant RDF formats
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- **Custom Serializers**: Extensible serialization framework
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- **Batch Export**: Efficient large-scale data export
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---
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## Algorithms Used
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### Serialization Algorithms
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- **RDF/XML Serialization**: W3C RDF/XML specification
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- **Turtle Serialization**: Compact RDF format with prefix compression
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- **JSON-LD Serialization**: JSON-based linked data with context
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- **GraphML Generation**: XML-based graph format
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- **Cypher Query Generation**: Neo4j query language generation
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### Export Optimization
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- **Streaming Export**: Memory-efficient export for large graphs
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- **Batch Processing**: Chunked export with configurable batch sizes
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- **Compression**: GZIP compression for large exports
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- **Incremental Export**: Export only changed data
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---
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## Main Classes
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### RDFExporter
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**Methods:**
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| Method | Description | Algorithm |
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|--------|-------------|-----------|
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| `export(graph, filename, format)` | Export to RDF format | RDF serialization with format-specific encoding |
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| `serialize(graph, format)` | Serialize to string | In-memory RDF generation |
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| `validate(rdf_data)` | Validate RDF syntax | RDF schema validation |
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| `add_namespace(prefix, uri)` | Add namespace | Prefix registration |
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| `set_base_uri(uri)` | Set base URI | Base URI configuration |
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**Supported RDF Formats:**
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| Format | Extension | Description | Use Case |
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|--------|-----------|-------------|----------|
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| **Turtle** | .ttl | Compact, human-readable | Development, debugging |
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| **N-Triples** | .nt | Line-based, simple | Streaming, processing |
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| **RDF/XML** | .rdf | XML-based, verbose | Legacy systems |
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| **JSON-LD** | .jsonld | JSON with linked data | Web APIs, JavaScript |
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| **N-Quads** | .nq | N-Triples with graphs | Named graphs |
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**Example:**
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```python
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from semantica.export import RDFExporter
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exporter = RDFExporter(
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base_uri="http://example.org/",
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namespaces={
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"ex": "http://example.org/",
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"foaf": "http://xmlns.com/foaf/0.1/"
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}
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)
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# Export to Turtle
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exporter.export(
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graph=kg,
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filename="output.ttl",
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format="turtle"
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)
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# Export to JSON-LD
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exporter.export(
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graph=kg,
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filename="output.jsonld",
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format="json-ld"
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)
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```
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---
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### JSONExporter
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**Methods:**
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| Method | Description | Algorithm |
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|--------|-------------|-----------|
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| `export(graph, filename, format)` | Export to JSON | JSON serialization with schema |
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| `export_nodes(graph)` | Export nodes only | Node extraction and serialization |
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| `export_edges(graph)` | Export edges only | Edge extraction and serialization |
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| `export_cytoscape(graph)` | Export Cytoscape.js format | Cytoscape JSON generation |
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| `export_d3(graph)` | Export D3.js format | D3 force-directed graph format |
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**JSON Formats:**
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- **Standard JSON**: Simple node/edge lists
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- **JSON-LD**: Linked data with @context
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- **Cytoscape.js**: For Cytoscape visualization
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- **D3.js**: For D3 force-directed graphs
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- **Neo4j JSON**: Neo4j-compatible format
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**Example:**
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```python
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from semantica.export import JSONExporter
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exporter = JSONExporter()
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# Standard JSON export
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exporter.export(kg, "output.json", format="standard")
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# JSON-LD export
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exporter.export(kg, "output.jsonld", format="json-ld")
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# Cytoscape format
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exporter.export_cytoscape(kg, "cytoscape.json")
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```
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---
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### GraphExporter
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**Methods:**
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| Method | Description | Algorithm |
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|--------|-------------|-----------|
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| `export(graph, filename, format)` | Export to graph format | Format-specific serialization |
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| `to_graphml(graph, filename)` | Export to GraphML | XML-based graph format |
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| `to_gexf(graph, filename)` | Export to GEXF | Gephi exchange format |
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| `to_dot(graph, filename)` | Export to DOT | Graphviz format |
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| `to_pajek(graph, filename)` | Export to Pajek | Pajek network format |
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**Graph Formats:**
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| Format | Tool | Use Case |
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|--------|------|----------|
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| **GraphML** | yEd, Gephi | General graph visualization |
|
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| **GEXF** | Gephi | Network analysis |
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| **DOT** | Graphviz | Diagram generation |
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| **Pajek** | Pajek | Large network analysis |
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| **GML** | Various | Graph Modeling Language |
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**Example:**
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```python
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from semantica.export import GraphExporter
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exporter = GraphExporter()
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# Export to GraphML
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exporter.to_graphml(kg, "graph.graphml")
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# Export to DOT for Graphviz
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exporter.to_dot(kg, "graph.dot")
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```
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---
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### Neo4jExporter
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**Methods:**
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| Method | Description | Algorithm |
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|--------|-------------|-----------|
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| `export(graph, uri, username, password)` | Export to Neo4j | Cypher query execution |
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| `generate_cypher(graph)` | Generate Cypher queries | CREATE/MERGE statement generation |
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| `batch_import(graph, batch_size)` | Batch import | Chunked Cypher execution |
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| `create_indexes(properties)` | Create indexes | Index creation for performance |
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| `create_constraints(constraints)` | Create constraints | Uniqueness constraint creation |
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**Cypher Generation:**
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```cypher
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// Node creation
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CREATE (n:Person {name: "Steve Jobs", born: 1955})
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// Relationship creation
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MATCH (a:Person {name: "Steve Jobs"}), (b:Organization {name: "Apple Inc."})
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CREATE (a)-[:FOUNDED]->(b)
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```
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**Example:**
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```python
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from semantica.export import Neo4jExporter
|
|
|
|
exporter = Neo4jExporter()
|
|
|
|
# Direct export to Neo4j
|
|
exporter.export(
|
|
graph=kg,
|
|
uri="bolt://localhost:7687",
|
|
username="neo4j",
|
|
password="password"
|
|
)
|
|
|
|
# Generate Cypher queries
|
|
cypher_queries = exporter.generate_cypher(kg)
|
|
print(cypher_queries)
|
|
```
|
|
|
|
---
|
|
|
|
### CSVExporter
|
|
|
|
|
|
**Methods:**
|
|
|
|
| Method | Description | Algorithm |
|
|
|--------|-------------|-----------|
|
|
| `export_nodes(graph, filename)` | Export nodes to CSV | Node flattening and CSV writing |
|
|
| `export_edges(graph, filename)` | Export edges to CSV | Edge list CSV generation |
|
|
| `export_combined(graph, prefix)` | Export nodes + edges | Separate CSV files |
|
|
| `flatten_properties(properties)` | Flatten nested properties | Recursive property flattening |
|
|
|
|
**CSV Formats:**
|
|
- **Nodes CSV**: id, label, properties (flattened)
|
|
- **Edges CSV**: source, target, type, properties
|
|
- **Neo4j Import Format**: Neo4j-compatible CSV
|
|
|
|
**Example:**
|
|
|
|
```python
|
|
from semantica.export import CSVExporter
|
|
|
|
exporter = CSVExporter()
|
|
|
|
# Export nodes and edges separately
|
|
exporter.export_nodes(kg, "nodes.csv")
|
|
exporter.export_edges(kg, "edges.csv")
|
|
|
|
# Or combined export
|
|
exporter.export_combined(kg, prefix="graph")
|
|
# Creates: graph_nodes.csv, graph_edges.csv
|
|
```
|
|
|
|
---
|
|
|
|
### VectorExporter
|
|
|
|
|
|
**Methods:**
|
|
|
|
| Method | Description | Algorithm |
|
|
|--------|-------------|-----------|
|
|
| `export(embeddings, filename, format)` | Export vectors | Format-specific vector serialization |
|
|
| `export_numpy(embeddings, filename)` | Export to NumPy | .npy format |
|
|
| `export_hdf5(embeddings, filename)` | Export to HDF5 | Hierarchical data format |
|
|
| `export_parquet(embeddings, filename)` | Export to Parquet | Columnar storage format |
|
|
|
|
---
|
|
|
|
## Configuration
|
|
|
|
```yaml
|
|
# config.yaml - Export Configuration
|
|
|
|
export:
|
|
rdf:
|
|
default_format: turtle
|
|
base_uri: "http://example.org/"
|
|
include_provenance: true
|
|
validate_output: true
|
|
|
|
json:
|
|
pretty_print: true
|
|
indent: 2
|
|
ensure_ascii: false
|
|
|
|
graph:
|
|
include_metadata: true
|
|
export_properties: true
|
|
|
|
neo4j:
|
|
batch_size: 1000
|
|
create_indexes: true
|
|
create_constraints: true
|
|
|
|
csv:
|
|
delimiter: ","
|
|
quote_char: "\""
|
|
encoding: "utf-8"
|
|
include_header: true
|
|
```
|
|
|
|
---
|
|
|
|
## Performance Characteristics
|
|
|
|
### Export Speed
|
|
|
|
| Format | Small Graph | Large Graph | Compression |
|
|
|--------|-------------|-------------|-------------|
|
|
| JSON | Fast | Medium | Good with gzip |
|
|
| RDF/XML | Medium | Slow | Poor |
|
|
| Turtle | Fast | Fast | Good |
|
|
| CSV | Very Fast | Very Fast | Excellent |
|
|
| Neo4j | Medium | Medium | N/A |
|
|
|
|
### Memory Usage
|
|
|
|
- **Streaming Export**: Constant memory usage
|
|
- **Batch Export**: Memory proportional to batch size
|
|
- **Full Export**: Memory proportional to graph size
|
|
|
|
---
|
|
|
|
## See Also
|
|
|
|
- [Knowledge Graph Module](kg.md) - Build graphs
|
|
- [Visualization Module](visualization.md) - Visualize exported graphs
|
|
- [Core Module](core.md) - Framework orchestration
|