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Systems integrating dozens of databases, in the scientif... large corporation, need to cope with a wide variety of i... as: different representations of the same object in diff... imperfect and noisy schema alignments; contradictory inf... sources; co

VLDB: VLDB '05, Answering queries from statistics ...
http://portal.acm.org/citation.cfm?...

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Systems integrating dozens of databases, in the scientific domain or in a large corporation, need to cope with a wide variety of imprecisions, such as: different representations of the same object in different sources; imperfect and noisy schema alignments; contradictory information across sources; constraint violations; or insufficient evidence to answer a given query. If standard query semantics were applied to such data, all but the most trivial queries will return an empty answer.

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<div class="abstract"><p class="abstract"> Systems integrating dozens of databases, in the scientific domain or in a large corporation, need to cope with a wide variety of imprecisions, such as: different representations of the same object in different sources; imperfect and noisy schema alignments; contradictory information across sources; constraint violations; or insufficient evidence to answer a given query. If standard query semantics were applied to such data, all but the most trivial queries will return an empty answer. </p> </div>

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