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First-Order Under-Approximations of Consistent Query Answers

机译:一致查询答案的一阶欠近似

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Consistent Query Answering (CQA) has by now been widely adopted as a principled approach for answering queries on inconsistent databases. The consistent answer to a query q on an inconsistent database db is the intersection of the answers to q on all repairs, where a repair is any consistent database that is maximally close to db. Unfortunately, computing consistent answers under primary key constraints has already exponential data complexity for very simple conjunctive queries, which is completely impracticable. In this paper, we propose a new framework for divulging an inconsistent database to end users, which adopts two postulates. The first postulate complies with CQA and states that inconsistencies should never be divulged to end users. Therefore, end users should only get consistent query answers. The second postulate states that the data complexity of user queries must remain tractable (i.e., in P or even in FO). User queries with exponential data complexity will be rejected. We investigate which consistent query answers can still be obtained under such access postulates.
机译:到目前为止,一致性查询应答(CQA)已被广泛用作回答不一致数据库上查询的原则性方法。对不一致数据库db的查询q的一致答案是所有修复对q的答案的交集,其中修复是最大程度接近db的任何一致数据库。不幸的是,对于非常简单的联合查询,在主键约束下计算一致的答案已经具有指数级的数据复杂性,这是完全不可行的。在本文中,我们提出了一个新的框架,用于将不一致的数据库泄露给最终用户,该框架采用了两种假设。第一个假设符合CQA的规定,并规定不应该将不一致之处透露给最终用户。因此,最终用户应仅获得一致的查询答案。第二个假设指出,用户查询的数据复杂性必须保持易处理性(即,以P或什至以FO为单位)。具有指数数据复杂性的用户查询将被拒绝。我们研究了在这种访问规则下仍可以获取哪些一致的查询答案。

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