OKBQA framework towards an open collaboration for development of natural language question-answering systems over knowledge bases

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

  • Jin Dong Kim
  • Christina Unger
  • Axel Cyrille Ngonga Ngomo
  • André Freitas
  • Young Gyun Hahm
  • Jiseong Kim
  • Sangha Nam
  • Gyu Hyun Choi
  • Jeong Uk Kim
  • Ricardo Usbeck
  • Myoung Gu Kang
  • Key Sun Choi
OriginalspracheEnglisch
TitelISWC-P&D-Industry 2017 : Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks
HerausgeberNadeschda Nikitina, Dezhao Song, Achille Fokoue, Peter Haase
Band1963
VerlagSun Site Central Europe (RWTH Aachen University)
Erscheinungsdatum2017
PublikationsstatusErschienen - 2017
Extern publiziertJa
VeranstaltungISWC Posters and Demonstrations and Industry Tracks, 2017: ISWC-P and D-Industry - Vienna, Österreich
Dauer: 23.10.201725.10.2017
https://ceur-ws.org/Vol-1963/
https://iswc2017.semanticweb.org
https://ceur-ws.org/Vol-1963/preface.pdf

Bibliographische Notiz

Funding Information:
The development of OKBQA Framework is supported by the ExoBrain project (http://exobrain.kr/). JDK is supported by the Life Science Database Integration Project funded by National Bioscience Database Center (NBDC) of Japan Science and Technology Agency (JST). ACNN and RU are supported by the H2020 project HOBBIT (GA no. 688227) and the EuroStars projects DIESEL (01QE1512C) and QAMEL (01QE1549C). The authors thank to all the participants in OKBQA hackathon so far for their contribution.

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