In the following we assume that you want to run QLever on the
Fbeasy. To run on one of the other knowledge bases,
all the commands below.
NOTE: The Wikidata index for QLever needs 3 TB of Free disk memory.
Extract the index files
tar xvjf qlever-fbeasy-index.tar.bz2
Make the folder read- and writeable for everyone (you need at least read and write permissions for the Docker user) and enter it.
chmod a+rwx qlever-fbeasy-index chmod a+rw qlever-fbeasy-index/* cd qlever-fbeasy-index
Download and import the qlever-docker image.
wget http://qlever.cs.uni-freiburg.de/cikm2022/qlever-docker.tar.bz2 docker load --input qlever-docker.tar.gz
Run QLever inside Docker
This assumes that you are running QLever on the local port
If this port is not free on your machine, specify another port
7001 before the colon in the following command).
docker run -d -p 7001:7001 -e "INDEX_PREFIX=fbeasy" -v "$(pwd):/index" --name qlever-fbeasy qlever.autocompletion.reproducibility
QLever is now starting, this might take several minutes. You can monitor this process
docker logs -f qlever-fbeasy
When the startup is finished, you should see the message "Waiting for Query on Port 7001" in the log.
Check the accesibility of QLever by navigating to
http://localhost:7001/?cmd=stats in a web browser (adapt to your changed port if necessary).
You should receive a JSON result with statistics on the knowledge base.
If this doesn't work, also try 172.17.0.1 (Docker's virtual network bridge)
instead of localhost, depending on your Docker configuration.
The QLever-Fbeasy instance is now ready. You can run the evaluation script as described in the respective tutorial.