Cardinality constraints on qualitatively uncertain data

作者：

Highlights：

• Cardinality constraints on qualitatively uncertain data are introduced

• The constraints help control the number of occurrences of uncertain data

• This ability has applications in integrity enforcement and query processing

• Axiomatic and algorithmic solutions are given for their implication problem

• Armstrong sketches finitely represent possibly infinite Armstrong samples

摘要

•Cardinality constraints on qualitatively uncertain data are introduced•The constraints help control the number of occurrences of uncertain data•This ability has applications in integrity enforcement and query processing•Axiomatic and algorithmic solutions are given for their implication problem•Armstrong sketches finitely represent possibly infinite Armstrong samples

论文关键词：Data and knowledge visualization,Data models,Database semantics,Management of integrity constraints,Requirements engineering

论文评审过程：Received 22 March 2015, Accepted 9 June 2015, Available online 2 July 2015, Version of Record 27 September 2015.

论文官网地址：https://doi.org/10.1016/j.datak.2015.06.002