Semantic BioMedical Tagger
Ontotext’s Semantic Biomedical Tagger is an information extraction system designed to process biomedical texts using more than 100 different biomedical types linked to a biomedical database, such as Linked Life Data, or any suitably configured RDF database.
It features a wide spectrum of functionalities ranging from ordinary information retrieval to semantic search. It brings together the power of knowledge bases and information extraction algorithms. The application automates document metadata management, document mining, scalable named entity recognition, and relation extraction, all suited to information found in Biomedical texts.
Figure: a PubMed article annotated by the Semantic Biomedical Tagger. Some words are recognised as terms from the biomedical database.