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Developing a Knowledge Graph for a Question Answering System to Answer Natural Language Questions on German Grammar

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The Semantic Web: ESWC 2019 Satellite Events (ESWC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11762))

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Abstract

Question Answering Systems for retrieving information from Knowledge Graphs (KG) have become a major area of interest in recent years. Current systems search for words and entities but cannot search for grammatical phenomena. The purpose of this paper is to present our research on developing a QA System that answers natural language questions about German grammar.

Our goal is to build a KG which contains facts and rules about German grammar, and is also able to answer specific questions about a concrete grammatical issue. An overview of the current research in the topic of QA systems and ontology design is given and we show how we plan to construct the KG by integrating the data in the grammatical information system Grammis, hosted by the Leibniz-Institut für Deutsche Sprache (IDS). In this paper, we describe the construction of the initial KG, sketch our resulting graph, and demonstrate the effectiveness of such an approach. A grammar correction component will be part of a later stage. The paper concludes with the potential areas for future research.

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Notes

  1. 1.

    Leibniz-Institute for the German Language.

  2. 2.

    http://grammis.ids-mannheim.de [25].

  3. 3.

    Grammar of the German Language.

  4. 4.

    Research \(\rightarrow \) Systematic Grammar \(\rightarrow \) Categories and Forms of Expressions \(\rightarrow \) Word Classes \(\rightarrow \) Nouns.

  5. 5.

    Flask – A Python Microframework, http://flask.pocoo.org.

  6. 6.

    Wissenschaftliche Terminologie, https://grammis.ids-mannheim.de/terminologie.

  7. 7.

    Datenbank Rechtschreibwortschatz,

    https://grammis.ids-mannheim.de/rechtschreibwortschatz.

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Acknowledgments

I would like to thank Prof. Heiko Paulheim for his valuable feedback and support in the realization of this work.

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Authors and Affiliations

  1. Leibniz-Institut für Deutsche Sprache, Mannheim, Germany

    Stefan Falke

Authors
  1. Stefan Falke
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Correspondence to Stefan Falke .

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Editors and Affiliations

  1. Kansas State University, Manhattan, KS, USA

    Pascal Hitzler

  2. Vienna University of Economics and Business, Vienna, Austria

    Sabrina Kirrane

  3. Linköping University, Linköping, Sweden

    Olaf Hartig

  4. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Victor de Boer

  5. Leibniz Information Centre for Science and Technology University Library (TIB), Hannover, Germany

    Maria-Esther Vidal

  6. University of Bonn, Bonn, Germany

    Maria Maleshkova

  7. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Stefan Schlobach

  8. Jönköping University, Jönköping, Sweden

    Karl Hammar

  9. F. Hoffmann-La Roche AG, Basel, Switzerland

    Nelia Lasierra

  10. Robert Bosch GmbH, Stuttgart, Germany

    Steffen Stadtmüller

  11. Aalborg University, Aalborg, Denmark

    Katja Hose

  12. IMEC, Ghent University, Ghent, Belgium

    Ruben Verborgh

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Falke, S. (2019). Developing a Knowledge Graph for a Question Answering System to Answer Natural Language Questions on German Grammar. In: Hitzler, P., et al. The Semantic Web: ESWC 2019 Satellite Events. ESWC 2019. Lecture Notes in Computer Science(), vol 11762. Springer, Cham. https://doi.org/10.1007/978-3-030-32327-1_39

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  • DOI: https://doi.org/10.1007/978-3-030-32327-1_39

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