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A Little Semantic Web Goes a Long Way in Biology

Lookup NU author(s): Dr Phillip Lord

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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.


Publication metadata

Author(s): Wolstencroft K, Brass A, Horrocks I, Lord P, Sattler U, Turi D, Stevens R

Editor(s): Gil, Y, Motta, E, Benjamins, VR et al

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: The Semantic Web: 4th International Semantic Web Conference (ISWC 2005)

Year of Conference: 2005

Pages: 786-800

Publisher: Springer-Verlag

URL: http://dx.doi.org/10.1007/11574620_56

DOI: 10.1007/11574620_56

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science

ISBN: 9783540297543


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