Aqqu

Description

Question answering from Freebase as described in the CIKM 2015 publication. The code below also contains some improvements (neural network, performance) that came after the publication.

Code

Public GitHub repository: https://github.com/elmar-haussmann/aqqu .

Internal git repository (contains work after publication, mainly neural net and performance improvements): https://bitbucket.org/elmar-haussmann/aqqu .

Internal git repository for the web-UI (we didn't put that public): https://bitbucket.org/elmar-haussmann/aqqu-webserver .

Demo

Aqqu instance

2016-06-30: runs under http://metropolis.informatik.uni-freiburg.de:5455

Start as follows on metropolis:

sudo su haussmae
cd /home/haussmae/demos/aqqu-demo
source activate aqqu
PYTHONPATH=$(pwd):$PYTHONPATH python
webserver/translation_webserver.py

Virtuoso instance

2016-06-30: Virtuoso instance for Aqqu runs unter http://metropolis.informatik.uni-freiburg.de:9000/sparql .

Start virtuoso as follows. Server listens on port 8999. (Alternatively follow the instructions in QUICKSTART.md to download the instance, install virtuoso and start it.)

ssh metropolis
sudo su haussmae
cd /home/haussmae/keyword-translation
make start-virtuoso-mini-cai

Start the HTTP proxy as follows (kill old process manually, listens on port 9000):

ssh metropolis
sudo su haussmae
cd /home/haussmae/keyword-translation
make start-varnish

How to update (any) Virtuoso with custom data

Grant access rights via the ISQL tool as follows:

data/virtuoso/install/bin/isql localhost:1112 dba dba
grant execute on SPARQL_INSERT_DICT_CONTENT to SPARQL_UPDATE;
grant execute on SPARQL_INSERT_DICT_CONTENT to "SPARQL”;
grant execute on SPARQL_DELETE_DICT_CONTENT to SPARQL_UPDATE;
grant execute on SPARQL_DELETE_DICT_CONTENT to "SPARQL”;

Complex example SPARQL query from "Programmieren in C++, SS 2016, Ü10 (all action or animation movie with their release date, genre, director, production company, and rating):

PREFIX fb: <http://rdf.freebase.com/ns/>
 SELECT DISTINCT ?fn, ?y, ?gn, ?dn, ?pn, ?rn where {
 ?f fb:type.object.type fb:film.film .
 ?f fb:film.film.initial_release_date ?y .
 ?f fb:film.film.genre ?g .
 ?f fb:film.film.directed_by ?d .
 ?f fb:film.film.production_companies ?p .
 ?f fb:film.film.rating ?r .
 ?f fb:type.object.name ?fn .
 ?g fb:type.object.name ?gn .
 ?d fb:type.object.name ?dn .
 ?p fb:type.object.name ?pn .
 ?r fb:type.object.name ?rn
 FILTER(lang(?fn)='en')
 FILTER(lang(?gn)='en')
 FILTER(lang(?dn)='en')
 FILTER(lang(?pn)='en')
 FILTER(lang(?rn)='en')
 FILTER(?gn='Action Film'@en OR ?gn='Animation'@en)
}

Data

All of the required data to run Aqqu is part of the materials (see above). It is located in the data subfolder. The scripts to create this data are part of the (old) keyword-translation repository: https://bitbucket.org/onekonek/keyword-translation