Semantic Rules on Drug Discovery Data

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. Key words: Ontology, RDF data model, Jena, reasoner

• Type: Conference
• Year: 2009
• Where: ASWC
• Authors: Sashikiran Challa, David J. Wild, Ying Ding, Qian Zhu
• Keywords: ASWC 2009, Chemical Compound, Compound-centric Rdf Networks, Internet Technology, Ontologies