# Knowledge Graph Creator command line tool: kgcreator
[](https://pypi.org/project/kgcreator/)
[](https://github.com/mark-watson/kgcreator/releases)
[](https://github.com/mark-watson/kgcreator/actions?query=workflow%3ATest)
[](https://github.com/mark-watson/kgcreator/blob/master/LICENSE)
### Knowledge Graph Creator: converts text to RDF triples and Neo4J graph and Memgraph database data
The Knowledge Graph Creator (kgcreator) is a tool for automating the generation of RDF data for Knowledge Graphs from raw text data read from an input directory path.
The Knowledge Graph Creator creates an output file containing RDF triples suitable for loading into any linked data/semantic web data store.
This Python command line utility is one of the example programs in my book
[Practical Python Artificial Intelligence Programming](https://leanpub.com/pythonai) that is available on [Leanpub.com](https://leanpub.com/pythonai) or available (in the future, this book is under development) to read for free on my web site [https://markwatson.com](https://markwatson.com).
## Installation
Install this tool using `pip`:
pip install kgcreator
pip install spacy
python -m spacy download en_core_web_sm
## Usage
For help, run:
kgcreator --help
kgcreator --inputdir=test_data --outputfile=out.rdf --outputfileneo4j=out.cypher
You can also use:
python -m kgcreator --help
## Development
To contribute to this tool, first checkout the code. Then create a new virtual environment:
cd kgcreator
python -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest
## Notes on generating Neo4J graph data
Start by identifying:
- Names of entities (node labels).
- Names of relationships.
- Names of properties for nodes and relationships.
- Constraints to be defined.
- Indexes required.
- The most important queries?
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