The project was created by Ron Wu. For a POC purpose to showcase that any text can be parsed into a sematic graph and thus can be consumed in a knowledge graph. Once the knowledge graph is built one can used for searching, analyzing or building chatbot.

Overview

The project consists of two parts:

Frontend

The frontend uses React + D3 for plotting the knowledge graph.

Runs the frontend in the development mode.
cd to frontend folder,

• Run npm install
• Adding the proxy by modifying line 17 of Home.js file from ROOT = '' to ROOT = localhost:8080
• Then run npm start or yarn start

This will start the frontend. Open http://localhost:3000 to view it in the browser.

Backend

The backend is purely JAVA: Springboot + StanfordNLP, so that it is production ready.

To run the backend.

cd to backend folder,

• Run ./mvnw spring-boot:run

This will start the backend. Open http://localhost:8080 to view it in the browser.

Create a production build

• remove proxy by modifying line 17 of Home.js file under the frontend/src to ROOT = ''
• Then cd to frontend folder, run npm run build . This will create a production build for the frontend
• Copy everything in the build folder to backend/src/main/resources/static/. This allows Springboot to host the static web content.
• Then cd to backend folder, run ./mvnw package -DskipTests to create a single JAR build (about 300MB)
• Then deploy to the any Cloud. Notice it requires 2GB heap space to run.