This is the implementation of demonstration paper in CIKM 2023: "gFOV: A Full-Stack SPARQL Query Optimizer & Plan Visualizer."

The logical plan optimizer part is included in Demo Branch in gStore-UO-opt repo.

gFOV.mp4 is a short video showing the usage of the demonstrated system.

1. Install Python dependencies:

pip3 install -r requirements.txt

2. Install Node.js (LTS version) and yarn:

sudo apt install nodejs
sudo apt install npm
sudo npm install -g yarn

3. Install frontend dependencies:

cd plan
yarn install

4. Build frontend:

yarn build

5. Install gStore:

git clone https://github.com/SoftlySpoken/gStore-UO-opt.git -b demo
cd gStore-UO-opt
make pre -j
make -j

1. Initialize your dataset in gStore (use lubm as example):

cd gStore-UO-opt
./bin/gbuild -db lubm -f ./data/lubm/lubm.nt

2. Start ghttp server in gStore (the port and database name should be the same as in app.py)):

cd gStore-UO-opt
./bin/ghttp -db lubm -p 5000

3. Start the backend server:

python3 app.py

Please modify the gStore_config variable to connect to your gStore database.