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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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What is bi-level mapping combining schema?
Bi-level mapping combining schema is a data structure used to map and combine information from two different levels or sources.
Who is required to file bi-level mapping combining schema?
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.
How to fill out 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.
What is the purpose of bi-level mapping combining schema?
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.
What information must be reported on bi-level mapping combining schema?
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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