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

  • Stefan FalkeEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11762)

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.

Keywords

Knowledge Graph Ontology development German grammar Question Answering System 

Notes

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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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Leibniz-Institut für Deutsche SpracheMannheimGermany

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