Relation-valued attributes in rank-aware databases and related concepts

Ondřej Vaverka
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Abstract

We present an initial study of the relation-valued attributes in rank-aware databases. We introduce the grouping and ungrouping operations and show their basic properties. We use a model that generalizes the Codd model of data by considering tuples in relations annotated by scores indicating a degree to which tuples match queries. We utilize the complete residuated lattices as the structures of degrees. We argue that relation-valued attributes are a useful concept and play an irreplaceable role in rank-aware databases as they form a bridge between the rank-aware and classical model.
排名感知数据库中的关系值属性及相关概念
我们提出了一个初步的研究关系值属性在排名感知数据库。介绍了分组和取消分组操作,并说明了它们的基本性质。我们使用了一个模型,该模型通过考虑关系中的元组来推广数据的Codd模型,这些关系中的元组用分数注释,分数表示元组与查询匹配的程度。我们利用完全剩余格作为度的结构。我们认为关系值属性是一个有用的概念,在排名感知数据库中发挥着不可替代的作用,因为它们构成了排名感知和经典模型之间的桥梁。
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