Compliance-Evaluation-of-Database-Application-Systems

The alignment between the implemented database application systems and their data specification standard description files significantly affects the accuracy of enterprises' estimation of data assets based on data standard files. In this study, we proposed an automated approach for discovering and aligning these consistent fields, greatly reducing the cost of manual evaluation. We frame the field's alignment problem as an entity matching computation on two distinct graphs, respectively constructed from the database of application systems and its data specification standard. A new multi-view entity alignment method was proposed. It leverages a common view to model the global structure information of the entities, simultaneously, it models the relationship information around the entities with the specific view, and then integrates them into the entity representation to estimate matching similarity and filter outlier fields. To calculate the matching degree, we employ the stable matching algorithm, generating estimated values for standard compliance evaluation indicators. The performance of our multi-view graph alignment model was assessed on the publicly available dataset DBP15K, and the results demonstrate the superiority of our proposed method over the original approach. Consequently, we applied our method to a customized enterprise dataset to validate the effectiveness of field's alignment and compliance evaluation.