To retrieve and categorize educational information, the relationships between subjects and terms and between two terms were examined by analyzing the frequency of terms that appeared in the teaching guidelines of elementary schools. Using the Singular Value Decomposition method, feature vectors were obtained from the number of occurrences of the terms that appeared in the teaching guidelines. Using these feature vectors, terms and subject areas that contained them were analyzed to indicate the relationships between them. Codebook vectors, that were learned by a Self-Organizing Algorythm with feature vectors, then put the terms and subjects into a 2-dimensional map that descibed their relationship. In addition, the teaching guidebook for social studies was analyzed in the same way.