Knowledge Discovery and Semantic Search
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 EntrezGene, dbSNP, KEGG, GO and DrugBank. SCAIView represents the search results using a color-coded highlighting of the different entity-classes, statistical search results and various ranking functions.