In this sense, SNNs are similar to pre-trained word embeddings, since a SNN trained for a commonly used Knowledge Base (i.e., DBPedia or Word-Net) could be useful in solving different problems.
pre-trained SNNs can (and should) be fine-tuned on a specific problem L after deciding a convenient deep learning architecture for this problem.