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Over the past years, more than 30 different semantic similarity measures for GO annotations have been proposed. In the first part of the presentation I will give an overview on the strength and weaknesses of these methods. In the second part I will talk about our efforts to develop algorithms that allow time efficient semantic similarity search in large sets of genes (e.g. UniProt).