  Representing unstructured data in a structured form is most significant for
information system management to analyze and interpret it. To do this, the
unstructured data might be converted into Knowledge Graphs, by leveraging an
information extraction pipeline whose main tasks are named entity recognition
and relation extraction. This thesis aims to develop a novel continual relation
extraction method to identify relations (interconnections) between entities in
a data stream coming from the real world. Domain-specific data of this thesis
is corona news from German and Austrian newspapers.
