QLever Wikidata (Florian Kramer), last tested 2018-04-13

Accessible under http://qlever.informatik.uni-freiburg.de ... Choose backend: Wikidata EN+DE @ Vulcano

ssh vulcano
tmux attach -t qlever-wikidata || tmux new -s qlever-wikidata
Ctrl+B :set -g mouse on
/home/kramerfl/QLever/build/ServerMain -p 7002 --patterns -i /local/raid/ad/kramerfl/index/wikidata/wikidata_de_en_02_18 &
Ctrl+B+D

Note: the previous version mentioned a -m option, for loading the contents of the .patterns file (for Wikidata, the size is 1.8 GB) into memory, which is now the default. The --pattern option is still needed (if one wants to have patterns).

QLever UI (J. Bürklin und D. Kemen), last tested 2019-06-19

Dataset (version 22-12-2017): vulcano:/local/raid/ad/qleverUI/index
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 bast@vulcano

# 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

# CREATE VIRTUAL ENVIRONMENT (already done on vulcano)
cd /local/raid/ad/qleverUI/svn
virtualenv -p /usr/bin/python2.7 venv
source venv/bin/activate
pip install -r requirements.txt

# START QLEVER UI
tmux attach -t qlever-ui || tmux new -s qlever-ui
cd /local/raid/ad/qleverUI/git
source venv/bin/activate
python manage.py runserver 0.0.0.0:8901 --insecure

# AUTOMATICALLY COMPUTE PREFIXES (NEW 29.10.2018)
python manage.py collectprefixes <backend_id>

# JAVASCRIPT FOR RESULT FORMATTING
vim /local/raid/ad/qleverUI/svn/backend/static/js/script.js:256 (Funktion getShortStr)

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

The latest version of the generated questions (2017-10-20) is in /nfs/raid4/prangen/qg_output_files/generated_questions_v2010.txt (8.5 GB, 49,779,502 questions). Get a random question with:

echo; head -10000000 /nfs/raid4/prangen/qg_output_files/generated_questions_v2010_shuffled.txt | shuf -n 1; echo

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 (Olivier Puraye), last tested 2018-01-19

The project description and live demo can be found under: http://completesearch-docs.puraye.com/

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"