1. A computer implemented method comprising: storing, at a network entity, a first taxonomy associated with at least one content publisher, for classifying content for use in delivering advertisements from said network entity, said first taxonomy comprising a plurality of nodes arranged in at least one hierarchical structure, said plurality of nodes corresponding to a plurality of categories associated with said content; storing, at said network entity, a second taxonomy associated with at least one advertiser entity, for classifying advertisements delivered from said network entity, said second taxonomy comprising a plurality of nodes arranged in at least one hierarchical structure, said plurality of nodes corresponding to a plurality of categories associated with said advertisements; associating, using a computer, each of the categories of the nodes of the second taxonomy with a plurality of advertisement themes; generating mapping information, in a computer, by correlating a node of said second taxonomy to a plurality of nodes of said first taxonomy, wherein a second category corresponding to said node of said second taxonomy is related to a plurality of first categories corresponding to said nodes of said first taxonomy based on a logical association between advertisement themes of said second category and said first categories.
4. The method according to claim 1 , further comprising: appending said advertisements and said associated categories to current data stored within said first taxonomy.