Answering queries from statistics and probabilistic views

  • Authors:
  • Nilesh Dalvi;Dan Suciu

  • Affiliations:
  • University of Washington, Seattle, WA;University of Washington, Seattle, WA

  • Venue:
  • VLDB '05 Proceedings of the 31st international conference on Very large data bases
  • Year:
  • 2005

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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.