66 lines
1.7 KiB
Markdown
66 lines
1.7 KiB
Markdown
# OntoCast Demo
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This demo shows how OntoCast can extract a knowledge graph from a document and visualize it as a graph.
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---
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## What You'll See
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- Turn a PDF or text document into a knowledge graph (RDF triples)
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- Visualize the extracted ontology and facts using free online tools
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---
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## Demo Steps
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### 1. Start the OntoCast Server
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Make sure you have OntoCast installed and a triple store (optional) running. Then start the server:
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```bash
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uv run serve --ontology-directory ../data/ontologies --working-directory ../data
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```
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### 2. Process a Sample Document
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You can use the provided `sample.pdf` or `sample.txt` in this directory.
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**For PDF:**
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```bash
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curl -X POST http://localhost:8999/process -F "file=@demo/sample.pdf"
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```
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**For plain text:**
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```bash
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curl -X POST http://localhost:8999/process -H "Content-Type: application/json" -d '{"text": "Your document text here"}'
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```
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The response will include extracted facts and ontology in Turtle format.
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---
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### 3. Visualize the Output
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1. Use neo4j built-in graph navigator
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2. Copy the Turtle output from the `facts` or `ontology` field in the response.
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**Example Screenshot:**
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---
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## Files in This Directory
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- `sample.pdf` – Example document for demo
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- `sample.txt` – Example plain text for demo
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- (Optional) `sample.ttl` – Example Turtle output
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---
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## Tips
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- You can use your own documents by changing the file path in the `curl` command.
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- For more details, see the [main README](../README.md) or the [Triple Store Setup Guide](../docs/user_guide/triple_stores.md).
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---
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## Need Help?
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Open an issue or check the [OntoCast documentation](https://growgraph.github.io/ontocast). |