1. A method of creating a master database comprising the steps of: i. accepting a list of names as input wherein each name is associated with at least one category; ii. selecting at least one pair of names from the list wherein the names have at least one category in common; iii. performing an onomastic convolution on each of the pair Of names to produce onomastic groups resulting from the onomastic convolution; iv. counting the number of occurrences of each onomastic group resulting from the onomastic convolution of step (iii) to output a number for each onomastic group; v. preparing a frequency list by adding the output number for each onomastic group to a master list of all onomastic elements; vi. normalizing the elements in the master list to create a master database comprising normalized probabilities for each categorization.