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Mapping Composition Combining Schema and Data Level Heterogeneity in Peer Data Sharing Systems |
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PP: 99-112 |
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Author(s) |
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Md. Anisur Rahman,
Mehedi Masud,
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Abstract |
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| The mapping semantics that combines the schema-level and the data-level mappings is called bi-level mappings.
Bi-level mappings enhance data sharing overcoming the limitations of the non-combined approaches. This paper
presents an algorithm for composing two bi-level mappings by using tableaux. Composition of mappings between peers
has several computational advantages in a peer data management system, such as yielding more efficient query translation,
pruning redundant paths, and better query execution plans. We also present a distributed algorithm for computing
direct mapping between two end peers of a series of peers connected by a chain of mappings. |
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