Database integration based on combination schema matching approach (case study: Multi-database of district health information system)

Abstract

Database integration can potentially result in format, structure, syntax and semantic conflicts as data sources come from different places or applications. To handle this conflict, there are several schema matching techniques on the database individually or in combination. Schema matching is one of the stages in database integration using the bottom-up design method. This research proposes matching of hybrid combination schemas from two schema matching techniques, which are linguistic-based and constraint-based. Hybrid combination matching allows matching of individual schemas to complement each other. The result of matching this combination schema can be applied in query rewriting as multi-database query processing.