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Database Repairs and Consistent Query Answering (Paperback)
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Database Repairs and Consistent Query Answering (Paperback)
Series: Synthesis Lectures on Data Management
Expected to ship within 10 - 15 working days
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Integrity constraints are semantic conditions that a database
should satisfy in order to be an appropriate model of external
reality. In practice, and for many reasons, a database may not
satisfy those integrity constraints, and for that reason it is said
to be inconsistent. However, and most likely, a large portion of
the database is still semantically correct, in a sense that has to
be made precise. After having provided a formal characterization of
consistent data in an inconsistent database, the natural problem
emerges of extracting that semantically correct data, as query
answers. The consistent data in an inconsistent database is usually
characterized as the data that persists across all the database
instances that are consistent and minimally differ from the
inconsistent instance. Those are the so-called repairs of the
database. In particular, the consistent answers to a query posed to
the inconsistent database are those answers that can be
simultaneously obtained from all the database repairs. As expected,
the notion of repair requires an adequate notion of distance that
allows for the comparison of databases with respect to how much
they differ from the inconsistent instance. On this basis, the
minimality condition on repairs can be properly formulated. In this
monograph we present and discuss these fundamental concepts,
different repair semantics, algorithms for computing consistent
answers to queries, and also complexity-theoretic results related
to the computation of repairs and doing consistent query answering.
Table of Contents: Introduction / The Notions of Repair and
Consistent Answer / Tractable CQA and Query Rewriting / Logically
Specifying Repairs / Decision Problems in CQA: Complexity and
Algorithms / Repairs and Data Cleaning
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