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WDAqua-core0: A Question Answering Component for the Research Community

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Semantic Web Challenges (SemWebEval 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 769))

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Abstract

We describe and present a new Question Answering (QA) component that can be easily used by the QA research community.

It can be used to answer questions over DBpedia and Wikidata. The language support over DBpedia is restricted to English, while it can be used to answer questions in 4 different languages over Wikidata namely English, French, German and Italian. Moreover it supports both full natural language queries as well as keyword queries.

We describe the interfaces to access and reuse it and the services it can be combined with. Moreover we show the evaluation results we achieved on the QALD-7 benchmark.

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Notes

  1. 1.

    http://lod-cloud.net.

  2. 2.

    http://qald.sebastianwalter.org.

  3. 3.

    https://askplatyp.us/?.

  4. 4.

    http://www.okbqa.org/.

  5. 5.

    https://dumps.wikimedia.org/wikidatawiki/entities/, https://www.mediawiki.org/wiki/Wikibase/Indexing/RDF_Dump_Format.

  6. 6.

    http://gerbil-qa.aksw.org.

References

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Acknowledgments

Parts of this work received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant agreement No. 642795, project: Answering Questions using Web Data (WDAqua).

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Authors and Affiliations

  1. Université de Lyon, CNRS UMR 5516 Laboratoire Hubert Curien, 42023, Saint-Etienne, France

    Dennis Diefenbach, Kamal Singh & Pierre Maret

Authors
  1. Dennis Diefenbach
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  2. Kamal Singh
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  3. Pierre Maret
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Corresponding author

Correspondence to Dennis Diefenbach .

Editor information

Editors and Affiliations

  1. Fondazione Bruno Kessler , Povo, Trento, Italy

    Mauro Dragoni

  2. University of Oxford , Oxford, United Kingdom

    Monika Solanki

  3. Linköping University , Linköping, Sweden

    Eva Blomqvist

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Diefenbach, D., Singh, K., Maret, P. (2017). WDAqua-core0: A Question Answering Component for the Research Community. In: Dragoni, M., Solanki, M., Blomqvist, E. (eds) Semantic Web Challenges. SemWebEval 2017. Communications in Computer and Information Science, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-69146-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-69146-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69145-9

  • Online ISBN: 978-3-319-69146-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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