KnowFIRES

A Knowledge-graph Framework for Interpreting Retrieved Entities from Search

How to run

After cloning this repo, you need to download and extract the relevant metadata for the knowledge graph, was well as the indexed dbpedia from here.

tar -xf dbpedia.tar.gz
tar -xf index.tar.gz

Further, you shall run the preprocessing scripts to prepare the meta data for all the entities in the knowledge graph as follows:

python backend/preprocessing.py

This step, might take a few minutes.

In case you do not want to do the preprocessing, download the processed indices and necessary files from here and extract them as follows :

tar -xf knowfires_data.tar.gz
mv knowfires_data/* .
rm -r knowfires_data

After that, you can proceed to running the backend stage.

Backend

First, extract the index and metadata files in the backend folder. Then, create and activate a virtual environment using

virtualenv venv
source venv/bin/activate

After that, install the requirements:

cd backend
pip install -r requirements.txt

Finally, the web app could be run:

python app.py

Frontend

First, you should have node.js and npm installed. Then, install the packages:

npm install

For compiling and running the development server (with hot reload enabled), use:

npm run serve

For Compiling and minifying the code for production, run:

npm run build

For deployment on server:

npm install -g serve
serve -d dist