Knowledge Discovery and Semantic Search

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. SCAIView gives answers to questions such as “Which genes / proteins are related to a certain disease, pathway or epigenetics?”


SCAIView´s key features are:


  • A user-friendly search environment with a query builder supporting semantic queries with biomedical entities
  • Fast and accurate search and retrievals, based on the newest technologies of semantic search engines
  • Visualization and ranking of the most relevant entities and documents
  • Exportation of the search results in various file formats

Documents are retrieved by precisely formulated questions using ontological representations of biomedical entities. The entities are embedded in searchable hierarchies and span from genes, proteins, accompanied single-nucleotice polymorphisms to chemical compounds and medical terminologies. SCAIView supports the selection of the suitable entities by an autocompletion functionality and a knowledge base for each entity. This includes a description of the entity, structural information, pathways and links to relevant biomedical databases like




GO and


SCAIView represents the search results using a color-coded highlighting of the different entity-classes, statistical search results and various ranking functions.


Document Retrieval

Knowledge Discovery