13. The computer system of claim 10 , wherein the executable code are further effective to cause the one or more processors to: for a current node of the plurality of nodes of the second taxonomy, calculate a category depth score for the current node and the selected node of the filtered set of nodes; and merge the current node of the plurality of nodes of the second taxonomy with the selected node of the filtered set of nodes if a combined score of the edit distance, the lineage score, and the category depth score for the selected node of the filtered set of nodes is both: the greatest combined score for the nodes of the filtered set of nodes; and the combined score for the selected node of the filtered set of nodes satisfies the combined score threshold condition.
13. The computer system of claim 10 , wherein the executable code are further effective to cause the one or more processors to: for a current node of the plurality of nodes of the second taxonomy, calculate a category depth score for the current node and the selected node of the filtered set of nodes; and merge the current node of the plurality of nodes of the second taxonomy with the selected node of the filtered set of nodes if a combined score of the edit distance, the lineage score, and the category depth score for the selected node of the filtered set of nodes is both: the greatest combined score for the nodes of the filtered set of nodes; and the combined score for the selected node of the filtered set of nodes satisfies the combined score threshold condition. 14. The computer system of claim 13 , wherein the category depth score for the current node of the plurality of nodes of the second taxonomy and a given node of the filtered set of nodes is computed according to N c /(N T −1), where Nc is a number of nodes in common of the one or more lineages of the current node of the plurality of nodes of the second taxonomy and the given node and N T is a total number of nodes in a lineage of either the current node of the plurality of nodes of the second taxonomy or the given node of the filtered set of nodes.