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

  • Dennis Diefenbach
  • Kamal Singh
  • Pierre Maret
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 769)


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.


Question answering Qanary QALD 



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).


  1. 1.
    Both, A., Diefenbach, D., Singh, K., Shekarpour, S., Cherix, D., Lange, C.: Qanary a methodology for vocabulary-driven open question answering systems. In: ESWC 2016 (2016)Google Scholar
  2. 2.
    Diefenbach, D., Amjad, S., Both, A., Singh, K., Maret, P.: Trill: a reusable front-end for QA systems. In: ESWC P&D (2017)Google Scholar
  3. 3.
    Diefenbach, D., Hormozi, N., Amjad, S., Both, A.: Introducing feedback in qanary: How users can interact with QA systems. In: ESWC P&D (2017)Google Scholar
  4. 4.
    Diefenbach, D., Singh, K., Both, A., Cherix, D., Lange, C., Auer, S.: The qanary ecosystem: getting new insights by composing question answering pipelines. In: Cabot, J., Virgilio, R., Torlone, R. (eds.) ICWE 2017. LNCS, vol. 10360, pp. 171–189. Springer, Cham (2017). doi: 10.1007/978-3-319-60131-1_10 CrossRefGoogle Scholar
  5. 5.
    Ferrández, Ó., Spurk, C., Kouylekov, M., Dornescu, I., et al.: The QALL-ME framework: A specifiable-domain multilingual Question Answering architecture. J. Web Sem. 9(2) (2011). ElsevierGoogle Scholar
  6. 6.
    Marx, E., Usbeck, R., Ngonga Ngomo, A., Höffner, K., Lehmann, J., Auer, S.: Towards an open question answering architecture. In: SEMANTiCS (2014)Google Scholar
  7. 7.
    Shekarpour, S., Marx, E., Ngomo, A.C.N., Auer, S.: Sina: Semantic interpretation of user queries for question answering on interlinked data. Web Semant. Sci. Serv. Agents World Wide Web 30 (2015)Google Scholar
  8. 8.
    Singh, K., Both, A., Diefenbach, D., Shekarpour, S.: Towards a message-driven vocabulary for promoting the interoperability of question answering systems. In: ICSC 2016 (2016)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Université de Lyon, CNRS UMR 5516 Laboratoire Hubert CurienSaint-EtienneFrance

Personalised recommendations