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HAWK (original from 2015, ESWC paper)

Hybrid Question Answering (hawk) -- is going to drive forth the OKBQA vision of hybrid question answering using Linked Data and full-text indizes.

Performance benchmarks can be done on the QALD-5 hybrid benchmark (test+train)

For more useful tools and more current Question Answering related topic please see https://github.com/dice-group/NLIWOD/

Building HAWK

Tested under Java 1.8.

git clone https://github.com/dice-group/hawk.git
mvn clean package -DskipTests
java -jar target/hawk-0.2.1.jar

or run via Eclipse IDE.

After cloning make sure the class src/main/java/org/aksw/hawk/querybuilding/SPARQL.java points to a valid endpoint (FUSEKI + full-text-feature-activated): http://131.234.28.52:3030/ (unreliable)

Restful Service

curl localhost:8181/search?q=What+is+the+capital+of+Germany+%3F will return a UUID.

curl http://localhost:8181/status?UUID=00000000-0000-0000-0000-000000000001 gives you status updates

Setting up your own Fuseki Endpoint

Please read https://medium.com/@rrichajalota234/how-to-apache-jena-fuseki-3-x-x-1304dd810f09

A ready-to-go index can be found here: https://hobbitdata.informatik.uni-leipzig.de/hawk/

If you encounter performance issues, go to the scripts of Jena Fuseki and increase the amount of available RAM (e.g., -Xmx6G).

Citation

@inproceedings{DBLP:conf/esws/UsbeckNBU15,
  author    = {Ricardo Usbeck and
               Axel{-}Cyrille Ngonga Ngomo and
               Lorenz B{\"{u}}hmann and
               Christina Unger},
  title     = {{HAWK} - Hybrid Question Answering Using Linked Data},
  booktitle = {The Semantic Web. Latest Advances and New Domains - 12th European
               Semantic Web Conference, {ESWC} 2015, Portoroz, Slovenia, May 31 -
               June 4, 2015. Proceedings},
  pages     = {353--368},
  year      = {2015},
  crossref  = {DBLP:conf/esws/2015},
  url       = {https://doi.org/10.1007/978-3-319-18818-8_22},
  doi       = {10.1007/978-3-319-18818-8_22},
  timestamp = {Fri, 02 Jun 2017 20:49:47 +0200},
  biburl    = {http://dblp.org/rec/bib/conf/esws/UsbeckNBU15},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

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Hybrid Question Answering (HAWK) -- is going to drive forth the OKBQA vision of hybrid question answering system using Linked Data and full-text information.

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