A NEW GENERATION OF DIGITAL LIBRARY TO SUPPORT DRUG DISCOVERY RESEARCH

The recent explosion of publicly available biomedical information gave drug discovery researchers unprecedented access to a wide variety of online repositories, but the sheer volume of the available data diminishes its utility. This is compounded by the fact that these repositories suffer from a silo effect: data from one cannot be easily linked to data in another. This is true for both publicly available sources and internal sources such as project reports. The ability to explore all aspects of biological data and to link data across sources is beneficial, as it allows researchers to discover new knowledge and to identify new collaboration opportunities by exploiting links. This paper presents an approach to solving this problem and an application that allows researchers to browse and analyze disparate bio-medical repositories as one semantically integrated knowledge space.