@incollection{Falke2019,
  author    = {Stefan Falke},
  title     = {Developing a Knowledge Graph for a Question Answering System to Answer Natural Language Questions on German Grammar},
  series = {The Semantic Web: ESWC 2019 Satellite Events. ESWC 2019 Satellite Events, Portorož, Slovenia, June 2–6, 2019, Revised Selected Papers},
  editor    = {Pascal Hitzler and Sabrina Kirrane and Olaf Hartig and Victor de Boer and Marie-Esther Vidal and Maria Maleshkova and Stefan Schlobach and Karl Hammar and Nelia Lasierra and Stefan Stadtm{\"u}ller and Katja Hose and Ruben Verborgh},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-32327-1},
  doi       = {10.1007/978-3-030-32327-1\_39},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-95083},
  pages     = {199 -- 208},
  year      = {2019},
  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 f{\"u}r 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.},
  language  = {en}
}