Solutions and query rewriting in data exchange
Solutions and query rewriting in data exchange
复制标题
数据交换中的解决方案和查询重写
DOI:
10.1016/j.ic.2013.06.002
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发表时间:
2013
影响因子:
1
通讯作者:
Arenas M
中科院分区:
文献类型:
--
作者:
Arenas M
Data exchange is the problem of taking data structured under a source schema and creating an instance of a target schema. Given a source instance, there may be many solutions – target instances that satisfy the constraints of the data exchange problem. Previous work has identified two classes of desirable solutions: canonical universal solutions, and their cores. Query answering in data exchange amounts to rewriting a query over the target schema to another query that, over a materialized target instance, gives the result that is semantically consistent with the source (specifically, the “certain answers”). Basic questions are then: (1) how do these solutions compare in terms of query rewriting? and (2) how can we determine whether a query is rewritable over a particular solution?Our goal is to answer these questions. Our first main result is that, in terms of rewritability by relational algebra queries, the core is strictly less expressive than the canonical universal solution, which in turn is strictly less expressive than the source. To develop techniques for proving queries non-rewritable, we establish structural properties of solutions; in fact they are derived from the technical machinery developed in the rewritability proofs. Our second result is that both the canonical universal solution and the core preserve the local structure of the data, and that every target query rewritable over any of these solutions cannot distinguish tuples whose neighborhoods in the source are similar. This gives us a first simple tool for checking whether a query is non-rewritable over the canonical universal solution or over the core. We also show that these tools generalize to arbitrary transformations that preserve the local structure of the data, and investigate an alternative semantics of query answering in data exchange.
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DOI:
10.1145/1376916.1376936
发表时间:
2008
期刊:
Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
影响因子:
--
作者:
F. Afrati;Phokion G. Kolaitis
通讯作者:
Phokion G. Kolaitis
DOI:
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发表时间:
2004-06
期刊:
Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
影响因子:
--
作者:
M. Arenas;P. Barceló;Ronald Fagin;L. Libkin
通讯作者:
M. Arenas;P. Barceló;Ronald Fagin;L. Libkin
DOI:
10.1145/1346330.1346334
发表时间:
2008
期刊:
J. ACM
影响因子:
--
作者:
G. Gottlob;Alan Nash
通讯作者:
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DOI:
10.1145/2213556.2213583
发表时间:
2012
期刊:
Proceedings of the 31st ACM SIGMOD-SIGACT-SIGAI symposium on Principles of Database Systems
影响因子:
--
作者:
Ronald Fagin;Phokion G. Kolaitis
通讯作者:
Phokion G. Kolaitis
DOI:
10.1145/1558334.1558341
发表时间:
2009
期刊:
SIGMOD Rec.
影响因子:
--
作者:
P. Barceló
通讯作者:
P. Barceló