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Semantic Rules on Drug Discovery Data

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The Semantic Web (ASWC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5926))

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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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Author information

Authors and Affiliations

  1. Indiana University, 901 E 10th Street, Bloomington, Indiana, USA

    Sashikiran Challa, David Wild, Ying Ding & Qian Zhu

Authors
  1. Sashikiran Challa
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  2. David Wild
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  3. Ying Ding
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  4. Qian Zhu
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Editor information

Editors and Affiliations

  1. Facultad de Informática, Dpto. de Inteligencia Artificial, Ontology Engineering Group, Universidad Politécnica de Madrid, Campus de Montegancedo s/n, 28660, Boadilla del Monte, Madrid

    Asunción Gómez-Pérez

  2. Shanghai Jiao Tong University, 200030, Shanghai, China

    Yong Yu

  3. Indiana University, USA

    Ying Ding

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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

  • eBook Packages: Computer ScienceComputer Science (R0)

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