A little semantic web goes a long way in biology (original) (raw)

2005, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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.

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