Global Schema as an Inversed View of Local Schemas for Integration
Gongzhu Hu
Abstract
Gongzhu Hu
Abstract
Integration of distributed heterogeneous data sources has been and will continue to be a challenge for data-centric tasks at organizations that rely on such data sources. A common approach to this problem is to create a global view of these data sources and use the global view as the single representation of the data. In this paper, we present a schema integration method to extract the schematic information from the local schemas to create the global view. This method focuses on resolving some structural and semantic discrepancies among the local schemas.
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Integration of distributed heterogeneous data sources has been and will continue to be a challenge for data-centric tasks at organizations that rely on such data sources. A common approach to this problem is to create a global view of these data sources and use the global view as the single representation of the data. In this paper, we present a schema integration method to extract the schematic information from the local schemas to create the global view. This method focuses on resolving some structural and semantic discrepancies among the local schemas.
Key concepts: Schematic, Data integration, Computer science, Schema (genetic algorithms), Information integration, Semantic heterogeneity, IDEF1X, Data science