A Question Answering System for retrieving German COVID-19 data driven and quality-controlled by Semantic Technology

The COVID-19 pandemic is a showcase for a data-driven society. However, making the corresponding data available is not easy due to local characteristics and time-depending metrics. In this paper, we present the Coronabot that is facilitating the access to German Coronavirus pandemic data. It is capable of answering German and English questions. The component-based system understands time-related questions and questions related to the localities of all administrative levels in Germany. The system is driven by semantic technologies from two perspectives. First, for all internal component interaction, RDF is used which is establishing an extensible architecture as well as microbenchmarking the integrated components as quality assurance is a crucial issue w.r.t. health and freedom-restricting scenarios. Second, several components take advantage of data from the Linked Open Data (LOD) cloud. © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).