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.
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© 2009 Springer-Verlag Berlin Heidelberg
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Challa, S., Wild, D., Ding, Y., Zhu, Q. (2009). Semantic Rules on Drug Discovery Data. In: Gómez-Pérez, A., Yu, Y., Ding, Y. (eds) The Semantic Web. ASWC 2009. Lecture Notes in Computer Science, vol 5926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10871-6_25
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DOI: https://doi.org/10.1007/978-3-642-10871-6_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10870-9
Online ISBN: 978-3-642-10871-6
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