A little semantic web goes a long way in biology

  • Authors:

  • K. Wolstencroft;A. Brass;I. Horrocks;P. Lord;U. Sattler;D. Turi;R. Stevens

  • Affiliations:

  • School of Computer Science, University of Manchester, UK;School of Computer Science, University of Manchester, UK;School of Computer Science, University of Manchester, UK;School of Computer Science, University of Manchester, UK;School of Computer Science, University of Manchester, UK;School of Computer Science, University of Manchester, UK;School of Computer Science, University of Manchester, UK

  • Venue:
  • ISWC'05 Proceedings of the 4th international conference on The Semantic Web
  • Year:
  • 2005

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Abstract

We show how state-of-the-art Semantic Web technology can be used in e-Science, in particular, to automate the classification of proteins in biology. We show that the resulting classification was of comparable quality to that performed by a human expert, and how investigations using the classified data even resulted in the discovery of significant information that had previously been overlooked, leading to the identification of a possible drug-target.