AI/ontology_platform/vendored/ontocast/demo

OntoCast Demo

This demo shows how OntoCast can extract a knowledge graph from a document and visualize it as a graph.

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What You'll See

• Turn a PDF or text document into a knowledge graph (RDF triples)
• Visualize the extracted ontology and facts using free online tools

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Demo Steps

1. Start the OntoCast Server

Make sure you have OntoCast installed and a triple store (optional) running. Then start the server:

uv run serve --ontology-directory ../data/ontologies --working-directory ../data

2. Process a Sample Document

You can use the provided sample.pdf or sample.txt in this directory.

For PDF:

curl -X POST http://localhost:8999/process -F "file=@demo/sample.pdf"

For plain text:

curl -X POST http://localhost:8999/process -H "Content-Type: application/json" -d '{"text": "Your document text here"}'

The response will include extracted facts and ontology in Turtle format.

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3. Visualize the Output

1. Use neo4j built-in graph navigator
2. Copy the Turtle output from the facts or ontology field in the response.

Example Screenshot:

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Files in This Directory

• sample.pdf – Example document for demo
• sample.txt – Example plain text for demo
• (Optional) sample.ttl – Example Turtle output

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Tips

• You can use your own documents by changing the file path in the curl command.
• For more details, see the main README or the Triple Store Setup Guide.

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Need Help?

Open an issue or check the OntoCast documentation.