Database Metadata Standardization Processing Model Using Web Dictionary

Abstract

Data quality control is an important issue these days. Improve data quality by providing consistent metadata. This study presents algorithms that facilitate standard word dictionary management for consistent metadata management. Algorithms are presented to automate synonyms management of database metadata through web dictionary crawling. It also improves the accuracy of the data by resolving homonym distinction issues that may arise during the web dictionary crawling process. Up to now, database metadata synonyms management has been managed manually by users. So the reliability of synonym data was poor, and a lot of time was spent. The algorithms proposed in this study bring synonym data through web dictionary crawling, thus increasing the reliability of metadata data quality compared to conventional passive management. It can also reduce the time spent on registering and managing synonym data. Further research on the new data standardization partial automation model will need to be continued, with a detailed understanding of some of the automatable tasks in future data standardization activities.