Wesam Alramadeen, Yu Ding, et al.
IISE Transactions on Healthcare Systems Engineering
A researcher's current scientific understanding is assembled from multiple sources of facts and knowledge, along with beliefs and hypotheses of their interpretations. A comprehensive and structured aggregation of all the relevant components is lo-date not possible using standard database technologies, nor is it obvious how to include beliefs, such as models and hypotheses into such a bundle. When such information is required as the basis for important decision-making (e.g., in drug discovery), scientists often resort to using commercial presentation applications. This is sub-optimal for the effective use of knowledge, and alternatives that support the inclusion of meaning are urgently needed. This paper describes a prototype Semantic Web application, BioDash', which attempts to aggregate heterogeneous yet related facts and statements (using an RDF model) into an intuitive, visually descriptive and interactive display.
Wesam Alramadeen, Yu Ding, et al.
IISE Transactions on Healthcare Systems Engineering
Andreana Gomez, Sergio Gonzalez, et al.
Toxics
John M. Prager, Jennifer J. Liang, et al.
AMIA Joint Summits on Translational Science 2017
J.F. Ziegler
Nuclear Instruments and Methods