Authors
R Mack, Sougata Mukherjea, Aya Soffer, Naohiko Uramoto, E Brown, Anni Coden, J Cooper, Akihiro Inokuchi, Bhavani Iyer, Yosi Mass, Hirofumi Matsuzawa, L Venkata Subramaniam
Publication date
2004
Journal
IBM Systems Journal
Volume
43
Issue
3
Pages
490-515
Publisher
IBM
Description
Biomedical text plays a fundamental role in knowledge discovery in life science, in both basic research (in the field of bioinformatics) and in industry sectors devoted to improving medical practice, drug development, and health care (such as medical informatics, clinical genomics, and other sectors). Several groups in the IBM Research Division are collaborating on the development of a prototype system for text analysis, search, and text-mining methods to support problem solving in life science. The system is called “BioTeKS” (“Biological Text Knowledge Services”), and it integrates research technologies from multiple IBM Research labs. BioTeKS is also the first major application of the UIMA (Unstructured Information Management Architecture) initiative also emerging from IBM Research. BioTeKS is intended to analyze biomedical text such as MEDLINE™ abstracts, medical records, and patents; text is analyzed by …
Total citations
2004200520062007200820092010201120122013201420152016201720182019202020212022202323751043324444623132
Scholar articles