## page was renamed from Aqqu = Aqqu = == Description == Question answering from Freebase as described in the [[http://ad-publications.informatik.uni-freiburg.de/CIKM_freebase_qa_BH_2015.pdf|CIKM 2015]] publication. The code below also contains some improvements (neural network, performance) that came after the publication. The public code also contains a README that describes how to download, install, train and run the system. Below describes how to setup the demo (for which the code is not public). == 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 }}} === Run the new Aqqu version (with NN) === Start on titan (requires GPU): {{{ ssh titan sudo su haussmae cd /home/haussmae/aqqu-bitbucket source activate aqqu PYTHONPATH=$(pwd):$PYTHONPATH python webserver/translation_webserver.py }}} Runs on port 5454 on titan now. However, titan is not available from outside the uni network. To start a port-forwarding from metropolis: {{{ ssh metropolis sudo su haussmae cd /home/haussmae/temp/nc/python-port-forwardt python2 port-forward.py }}} The service is now available on metropolis:5454 === 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: 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]]