  Ecological risk assessment requires large amounts of chemical effect data
from laboratory experiments. Due to experimental effort and animal welfare
concerns it is desired to extrapolate data from existing sources. To cover the
required chemical effect data several data sources need to be integrated to
enable their interoperability. In this paper we introduce the Toxicological
Effect and Risk Assessment (TERA) knowledge graph, which aims at providing such
integrated view, and the data preparation and steps followed to construct this
knowledge graph.
  We also present the applications of TERA for chemical effect prediction and
the potential applications within the Semantic Web community.
