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A Certainty-Based Model for Uncertain Databases

机译:不确定数据库的基于确定性的模型

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This paper considers relational databases containing uncertain attribute values when some knowledge is available about the more or less certain value (or disjunction of values) that a given attribute in a tuple may take. We propose a possibility-theory-based model suited to this context and extend the operators of relational algebra to handle such relations in a “compact,” thus efficient, way. It is shown that the model is a representation system for the whole relational algebra. An important result is that the data complexity associated with the extended operators in this context is the same as in the classical database case, which makes the approach highly scalable.
机译:当某些知识可用于元组中给定属性可能具有的或多或少确定值(或值的析取)时,本文将考虑包含不确定属性值的关系数据库。我们提出了一种适合这种情况的基于可能性理论的模型,并扩展了关系代数的运算符,从而以“紧凑”的高效方式处理此类关系。结果表明,该模型是整个关系代数的表示系统。一个重要的结果是,在这种情况下,与扩展运算符关联的数据复杂性与传统数据库情况下的相同,这使得该方法具有高度可伸缩性。

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