Why The Semantic Web Matters In Life Sciences R&D

Scientific data and applications require rich semantic representation (both internal and external apps and data)
Most life sciences organizations (large & small, commercial & academic) currently lack experience and exposure to new semantic technologies
Over the next 5 years, software and IT professionals in the life sciences will experience unprecedented demand for semantically rich, data driven applications
Semantic technologies and standards developed in the past 5 years must dramatically improve the effectiveness and efficiency of biopharmaceutical discovery

Scientific data and applications require rich semantic representation (both internal and external apps and data)