OCMiner: Text Processing, Annotation and Relation Extraction for the Life Sciences

We present OCMiner, a high-performance text processing system for large document collections of scientific publications. Several linguistic options allow adjusting the quality of annotation results which can be specialized and fine-tuned for the recognition of Life Science terms. Recognized terms are mapped to semantic concepts which are ontologically located within their respective domain taxonomies. Relying on a correct identification and semantic interpretation of mentions of domain concepts, relations between entities are extracted. The annotated text, as well as extracted knowledge triples, can be visualized on a web-based front-end at http://www.ocminer.com/, permitting an explorative information retrieval.