Abstract
When a regional information database is configured, managed and used, it is one of the important maintenance operations to update the attribute data.
Main attribute data of the regional information database is classified into settled, semi-settled, and unsettled types as viewed from the updating frequency. This classification makes itpossible to reduce update work by handling the data in time-series; however, this causes data redundancy. This problem can be solved by normalizing data tables and utilizing data relationship.
This study attempted the configuration of the regional information database using a relational database manegement system based on the classification to improve the database management that requires a long time and much labor.
The study was proposed as one of the techniques that manage the attribute data efficiently.
