Semantic rules on drug discovery data

Abstract

Aggregating and presenting a wide variety of information pertinent to the biological and pharmacological effects of chemical compounds will be a critical part of 21st century drug discovery. However there is currently a lack of tools for effectively integrating and aggregating information about chemical compound. In this paper we tackle this problem using Semantic Web Technologies, particularly OWL ontologies,compound-centric RDF networks, and RDF inference to detect relationships between compounds and biological affects, genes,and diseases, and to present information to a user clustered by disease area. © 2009 Springer-Verlag Berlin Heidelberg.