Importance of a software system is due to its inner data and databases and not to its codes. Therefore, with the appearance of new software, converting data of the previous systems to the new ones is significant and plays an important role in organizations. Although this conversion process may have different phases but the first phase is under consideration in this paper. First phase in the process of converting data, which refers to assessing tables and finding equivalent fields in both legacy and modern databases is being called
matching metadata. Considering its’ importance, this paper provides an automatic and intelligent method for assessing table and equivalent fields in both databases and for extracting the degree of their accordance. Then, the proposed method will be evaluated on sample databases and the consequent results will be presented.