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This paper introduces a model of a peer database management system (PDMS) that combines schema-level and data-level mappings, termed bi-level mappings, to enhance data sharing among heterogeneous
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Bi-level mapping combining schema is a data structure used to map and combine information from two different levels or sources.
Any entity or individual who needs to combine and map data from two levels or sources is required to file a bi-level mapping combining schema.
To fill out a bi-level mapping combining schema, you need to provide the required information for each level or source and map the corresponding data points.
The purpose of a bi-level mapping combining schema is to effectively merge and combine data from different levels or sources, enabling better analysis and decision-making.
The information to be reported on a bi-level mapping combining schema depends on the specific data and entities involved. It may include data points, attributes, identifiers, and relationships between the two levels or sources.
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