This is our backend that process the data from the browser extension. It is connected with our tigergraph instance. For the data processing we use basic string operations and spacy for nlp tasks. Moreover it is able to execute some queries from tigergraph that can be send to a frontend to use it in graph framework like: https://g6.antv.vision/zh

1. Install all requirements: pip install -r requirements.txt
2. Install spacy: python -m spacy download en_core_web_sm
3. Change config.py data to your tigergraph instance

uvicorn main:app --reload

@app.post("/notes")

GET ("/tag/{tag}")

GET ("/domain/{word}")

POST ("/tags")

GET ("/resource/{id}")

/scripts: Here find a script to extract the domain knowledge dataset to a file that can be used for tigergraph mapping. It splits every relation in one csv file.

/images: Screenshots of example graphs in tigergraph

/services/note_service: Push data to tigergraph

/services/vertex_service: Get data from tigergraph and put it in a good json way.

/data: here you can find a example csv of collected data by browser extension

/graph_gen: graph generation module

Computer Science Ontology:

https://cso.kmi.open.ac.uk/downloads

https://fastapi.tiangolo.com/ https://spacy.io/