Development of the folk implements database for the digital archive

In recent years, digitization of museum material information has been promoted. Some museums provide digital material information at online. However, digital archives and museum databases are not unified in each museum. Since folk implements are basic materials for understanding the ordinary people production activities and daily lives, there are many classification methods for these materials. Thus, it is difficult to search the folk implements adequately. In this paper, we propose a folk implements classification method. This method can effectively classify the folk implements by normalized relational model, and avoid the database redundancy.