• StudentProjectsAndTheses

Demos from our (many) student projects and theses

QLever UI (Julian Bürklin und Daniel Kemen), last tested 2018-01-17

Dataset (version 22-12-2017): vulcano:/local/raid/ad/qleverUI/index<<BR> QLeverUI code (version 22-12-2017): vulcano:/local/raid/ad/qleverUI/svn (also contains db.sqlite3 from Django)
QLever binary (version 10-01-2018): vulcano:/local/raid/ad/schnelle/QLever/build/ServerMain

ssh vulcano
cd /local/raid/ad/qleverUI/svn

# SETUP (already done on vulcano)
python manage.py migrate          # Create initial db.sqlite3 for Django
python manage.py createsuperuser  # Create admin user, bast ist currently admin
vim qlever/settings.py            # Set DEBUG=False and set ALLOWED_HOSTS appropriately

# START QLEVER UI
python /local/raid/ad/qleverUI/manage.py runserver 0.0.0.0:8900 --insecure

# ADD BACKEND (already done on vulcano)
http://vulcano:8900/admin -> Backends -> ADD BACKEND -> fill in the following fields:
Name:       wikipedia-freebaseBase
BaseUrl:    http://vulcano.informatik.privat:9001/
NtFilePath: /local/raid/ad/qleverUI/index/wikipedia-freebase.nt

# START QLEVER
/local/raid/ad/schnelle/QLever/build/ServerMain -i /local/raid/ad/qleverUI/index/wikipedia-freebase -p 9001 -t -l

QA Completion (Natalie Prange), last tested 2018-01-18

ssh tarka
sudo su prangen
cd /nfs/raid4/prangen/natalie-prange/
python3 server.py 4 8181 [test]

With test option, smaller dataset, takes 1 minute; without test takes 4-5 minutes.

Then live on http://tarka.informatik.privat:8181

Broccoli Scientists (Johannes Güttler), last tested 2018-01-XX

Create Broccoli instance BroccoliScientistsGuettler on elba, as described here. As of 2018-01-XX, such an instance is already running on elba: http://elba.informatik.uni-freiburg.de:6222/BroccoliScientistGuettler

The following starts the Broccoli backend with the index data from Johannes Güttler:

ssh elba
tmux attach -t BroccoliScientistsGuettler || tmux new -s BroccoliScientistsGuettler
cd /local/data2/broccoli/scientists-guettler
make start

A detailed descriptions of the whole build process (including creating the data from scratch), can be found in SVN:student-theses/johannes-guettler

CompleteSearch UI (Evgeny Anatskiy), last tested 2018-01-17

Build the docker image according to the instructions on https://github.com/anatskiy/docker-completesearch . The project itself is described in another Github Repo.

Beware: in the URL, there must be a trailing slash, otherwise the application will appear to "load forever"