The Biomedical Knowledge Miner (BiK>Mi) provides tools to access and validate knowledge encompassing all of the latest information pertaining to COVID-19 (SARS-CoV-2).
The information retrieval system SCAIView allows for semantic searches in large text collections by combining free text searches with the ontological representations of entities derived by ProMiner.
SCAI has generated a comprehensive cause-and-effect model of SARS-CoV-2. It supports a wide spectrum of model-driven analytics. Other researchers can compare their published models with our model.
Shared semantics are essential for the annotation and integration of data and for the communication of knowledge. To enable this, we created the COVID-19 terminology.
We are currently facing a flood of publications on SARS-CoV-2 / COVID-19. The most important scientific literature corpora on COVID-19 are listed here.
We have tuned our literature mining environment SCAIView for optimal performance on COVID-19 papers. The resulting COVID-19 SCAIView service is made publicly accessible.
We have collected useful information on chemical compounds and approved drugs that may be active against SARS-CoV-2. Relevant chemical information can be found here.
Fraunhofer Institute for Algorithms and Scientific Computing SCAI