ABSTRACT
In this paper, a more accurate method of information indexing, folksonomy, is introduced and analyzed. First, we present the cognitive process of folksonomy. Second, the advantages of folksonomy compared with traditional categories are given. Third, we point out that an advent of massive tags calls for an efficient way of organizing them. Finally, two possible algorithm models for optimizing related tags are presented to prove the effectiveness of our method.
