On hybrid schema matching modified model in minimizing user verification process in output validation

Abstract

The problem of alignment of the scheme is that the process that cannot be thoroughly performed automatically is the similarity of the results of the element output map scheme alignment that the user still needs to correct to obtain a valid end result. The correction process which is carried out at the stage of verification and evaluation can only be done manually by the user. In this research, a modification of the hybrid schema matching model was proposed that previously develop by adding three new features, namely the use of a similarity value limit (SVL), checking the inter-attribute similarity of the input database, and selecting the appropriate database to act as a DBSource during the matching process. Every new feature is tested using a relational database model (RDBM). Compare the yields of the original model and the modified model to determine the reduction in output of the user-performed model validation process. The test result shows that the addition of new features succeeded in minimizing the user verification process.