The Scalable Question Answering Over Linked Data (SQA) Challenge 2018

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

Question answering (QA) systems, which source answers to natural language questions from Semantic Web data, have recently shifted from the research realm to become commercially viable products. Increasing investments have refined 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 intuitive and easy-to-use interfaces. Not surprisingly, after the first excitement we did not witness a cooling-down phenomenon: regular interactions with question answering systems have become more and more natural. As consumers expectations around the capabilities of systems able to answer questions formulated in natural language keep growing, so is the availability of such systems in various settings, devices and languages. Increasing usage in real (non-experimental) settings have boosted the demand for resilient systems, which can cope with high volume demand.

OriginalspracheEnglisch
TitelSemantic Web Challenges - 5th SemWebEval Challenge at ESWC 2018, Revised Selected Papers
HerausgeberDiego Reforgiato Recupero, Aldo Gangemi, Davide Buscaldi
Anzahl der Seiten7
VerlagSpringer-Verlag Wien
Erscheinungsdatum2018
Seiten69-75
ISBN (Print)978-3-030-00071-4
ISBN (elektronisch)978-3-030-00072-1
DOIs
PublikationsstatusErschienen - 2018
Extern publiziertJa
Veranstaltung5th Semantic Web Evaluation Challenge, SemWebEval 2018, co-located with the 15th European Semantic Web conference - ESWC 2018 - Heraklion, Griechenland
Dauer: 03.06.201807.06.2018
Konferenznummer: 5
https://link.springer.com/book/10.1007/978-3-030-00072-1

Bibliographische Notiz

Funding Information:
Acknowledgments. This work was supported by the European Union’s H2020 research and innovation action HOBBIT under the Grant Agreement number 688227.

Funding Information:
The SQA challenge at ESWC2018 was supported by the EU project HOBBIT2. The employment of the platform provided by the HOBBIT project guaranteed a robust, controlled setting offering rigorous evaluation protocols. This now popular platform for the benchmarking of linked data has attracted a high

Publisher Copyright:
© 2018, Springer Nature Switzerland AG.

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