Skip to main content
SpringerLink
Log in

7th Open Challenge on Question Answering over Linked Data (QALD-7)

  • Conference paper
  • First Online:
Semantic Web Challenges (SemWebEval 2017)

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

Included in the following conference series:

Abstract

The past years have seen a growing amount of research on question answering (QA) over Semantic Web data, shaping an interaction paradigm that allows end users to profit from the expressive power of Semantic Web standards while, at the same time, hiding their complexity behind an intuitive and easy-to-use interface. On the other hand, the growing amount of data has led to a heterogeneous data landscape where QA systems struggle to keep up with the volume, variety and veracity of the underlying knowledge.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://www.sc.cit-ec.uni-bielefeld.de/qald/.

  2. 2.

    https://project-hobbit.eu/challenges/qald2017/.

  3. 3.

    http://www.okbqa.org.

  4. 4.

    https://github.com/AKSW/gerbil/wiki/Question-Answering and the results are formatted according to https://www.w3.org/TR/sparql11-results-json/.

  5. 5.

    http://inex.mmci.uni-saarland.de/tracks/dc/index.html.

  6. 6.

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

  7. 7.

    http://project-hobbit.eu/.

  8. 8.

    https://project-hobbit.eu/challenges/qald2017/#Technical_requirements.

  9. 9.

    https://github.com/hobbit-project/platform/wiki/Participate-in-a-challenge.

References

  1. Ngomo, A.-C.N., García-Rojas, A., Fundulaki, I.: HOBBIT: holistic benchmarking of big linked data. ERCIM News 2016(105) (2016)

    Google Scholar 

  2. Tsatsaronis, G., Balikas, G., Malakasiotis, P., Partalas, I., Zschunke, M., Alvers, M.R., Weissenborn, D., Krithara, A., Petridis, S., Polychronopoulos, D., Almirantis, Y., Pavlopoulos, J., Baskiotis, N., Gallinari, P., Artières, T., Ngonga, A., Heino, N., Gaussier, É., Barrio-Alvers, L., Schroeder, M., Androutsopoulos, I., Paliouras, G.: An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. BMC Bioinformatics 16, 138 (2015)

    Article  Google Scholar 

  3. Usbeck, R., Michael, R., Unger, C., Hoffmann, M., Demmler, C., Huthmann, J., Ngomo, A.-C.N.: Benchmarking question answering systems. Technical report, Leipzig University (2016)

    Google Scholar 

  4. Voorhees, E.M., et al.: The trec-8 question answering track report. Trec 99, 77–82 (1999)

    Google Scholar 

  5. Zou, L., Huang, R., Wang, H., Yu, J.X., He, W., Zhao, D.: Natural language question answering over RDF: a graph data driven approach. In: Proceedings of the 2014 ACM SIGMOD international conference on Management of Data, pp. 313–324. ACM (2014)

    Google Scholar 

Download references

Acknowledgments

This work was supported by the Eurostars projects DIESEL (E!9367) and QAMEL (E!9725) as well as the European Union’s H2020 research and innovation action HOBBIT under the Grant Agreement number 688227. We also want to thank Christina Unger and Sebastian Walter for supporting this challenge.

Author information

Authors and Affiliations

  1. Data Science Group, Paderborn University, Paderborn, Germany

    Ricardo Usbeck, Axel-Cyrille Ngonga Ngomo & Michael Röder

  2. Fraunhofer-Institute IAIS, Sankt Augustin, Germany

    Bastian Haarmann & Giulio Napolitano

  3. National Center for Scientific Research “Demokritos”, Athens, Greece

    Anastasia Krithara

Authors
  1. Ricardo Usbeck
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Axel-Cyrille Ngonga Ngomo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Bastian Haarmann
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Anastasia Krithara
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Michael Röder
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Giulio Napolitano
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ricardo Usbeck .

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

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Usbeck, R., Ngomo, AC.N., Haarmann, B., Krithara, A., Röder, M., Napolitano, G. (2017). 7th Open Challenge on Question Answering over Linked Data (QALD-7). 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_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-69146-6_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69145-9

  • Online ISBN: 978-3-319-69146-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation