Assignment of the software

To 2: SAM 3: SCAIView 3-4: BEL 4: AData(Viewer), ZET-O-MAP Graph Visualizer


SCAIView is a knowledge discovery software for life sciences. It allows for quickly finding aggregated information from large amounts of text. SCAIView integrates the information of semantic taggers such as PROMiner, Sherpa, or LLM with their corresponding texts, enabling semantic search and fast evaluation of huge corpora.


The AData(Viewer) software allows for exploring the data landscape related to Alzheimer's disease (AD). There are numerous research projects and clinical studies on AD. With the ADataViewer, one can explore this AD data landscape and identify cohort datasets that meet specific research requirements.

SAM, the semantic aggregation machine

SAM is a service that enables federated querying of terminology servers, such as the Ontology Lookup Service (OLS) of the European Bioinformatics Institute (EBI) in England. It allows for combining and harmonizing results from different terminology services. Given a concept, SAM can provide information on which ontologies/terminologies it is used in, the corresponding definition, and any known synonyms.

BEL Query Language Tool

The Fraunhofer SCAI Graph Store is a repository for knowledge graphs created with the e(BE:L) software. It is used to parse and validate files created in the Biological Expression Language (BEL) and generate networks from the manually curated statements within them. The BEL Query Language Tool allows for creating simple queries without requiring specific knowledge of graph query languages like Cypher.

Graph Visualizer

This specific graphical tool is used to explore adverse effects related to experimental data collected during the testing of potentially toxic substances. The tool was developed in the ZET-O-MAP project of the European Long-Range Research Initiative (LRI). ZET-O-MAP aims to develop better tools for identifying teratogenic compounds. One of the promising assays is the Zebrafish Embryo Teratogenicity Assay (ZETA). To promote the acceptance of ZETA for regulatory purposes, a better mechanistic understanding of morphogenesis in zebrafish embryos is required.