https://github.com/climatemind/climatemind-ontology-processing
Processing files for the Ontology
https://github.com/climatemind/climatemind-ontology-processing
python rdf
Last synced: 9 months ago
JSON representation
Processing files for the Ontology
- Host: GitHub
- URL: https://github.com/climatemind/climatemind-ontology-processing
- Owner: ClimateMind
- License: mit
- Created: 2021-01-19T13:47:54.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-07-27T06:27:16.000Z (almost 5 years ago)
- Last Synced: 2025-08-05T12:40:22.965Z (10 months ago)
- Topics: python, rdf
- Language: Python
- Size: 5.53 MB
- Stars: 1
- Watchers: 11
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# climatemind-ontology-processing
The ontology is stored as an OWL file (a type of RDF/XML file) which we convert to a NetworkX Graph using
Owlready2 (a Python library for processing an ontology). These files handle all of the
processing and visualization for the ontology.
## How to Process the Ontology
### Do this your first time
Install the Ontology from PyPi
```
python3 -m pip install ontology-processing
```
Ensure you have the correct version (1.0.8 at time of this writing) by checking
```
python3 -m pip list
```
If not, you can install a specific version like
```
python3 -m pip install ontology-processing==1.0.8
```
Now you're all set up and ready to roll! This should install the dependencies automatically.
### Do this every time
1. Download a fresh copy of the ontology from web protege. Make sure it's the RDF/XML format (check the downloaded item has .owl at the end of it!).
2. When using the code as a package, be sure to `import ontology_processing.process_new_ontology_file`
3. Use the function `ontology_processing.process_new_ontology_file.processOntology(onto_path, output_folder_path)` where onto path is the path of the .owl ontology file and output_folder_path is the path to a folder for the output files to go into.
4. Check your output in your output folder. You should have a pickle file, a json file and a csv
You now have a fresh copy of the NetworkX graph to use for the climatemind-backend Flask app!
### Alternatively, if prefer not to use the code as a package installed using pip, then:
1. Download a fresh copy of the ontology from web protege. Make sure it's the RDF/XML format (check the downloaded item has .owl at the end of it!).
2. Clone the climatemind-ontology-processing directory to your local machine
3. Use the command line/terminal to navigate to the climatemind-ontology-processing directory and run the following command
```
pip install -e ./
```
This will install a local editable pip package which you can use to test code updates or process the ontology with the locally
downloaded repo.
4. Use the function `ontology_processing.process_new_ontology_file.processOntology(onto_path, output_folder_path)` where onto path is the path of the .owl ontology file and output_folder_path is the path to a folder for the output files to go into.
5. Check your output in your output folder. You should have a pickle file, a json file and a csv
You now have a fresh copy of the NetworkX graph to use for the climatemind-backend Flask app!