Michael Zock's work has focussed these last years on finding the appro- priate and most adequate word when writing or speaking. The semantic relatedness between words can play an important role in this context. We present here a novel approach to analyse the semantic relatedness between words based on the relevance of semantic relatedness measures on the global level of a word sense disambigua- tion task. We introduce two metrics : the best atteignable score and the correlation between global score and the F1 measure. We use them to analyse several classical local semantic similarity measures as well as measures built by our team.