A Little Semantic Web Goes a Long Way in Biology

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 one 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.

• Type: Conference
• Year: 2005
• Where: SEMWEB
• Authors: Katy Wolstencroft, Andy Brass, Ian Horrocks, Phillip W. Lord, Ulrike Sattler, Daniele Turi, Robert Stevens
• Keywords: Comparable Quality, Human Expert, SEMWEB 2005, State-of-the-art Semantic Web