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Relational similarity-based model of data part 1: foundations and query systems

机译:基于关系相似性的数据模型第1部分:基础和查询系统

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We present a general rank-aware model of data which supports handling of similarity in relational databases. The model is based on the assumption that in many cases it is desirable to replace equalities on values in data tables by similarity relations expressing degrees to which the values are similar. In this context, we study various phenomena which emerge in the model, including similarity-based queries and similarity-based data dependencies. Central notion in our model is that of a ranked data table over domains with similarities which is our counterpart to the notion of relation on relation scheme from the classical relational model. Compared to other approaches which cover related problems, we do not propose a similarity-based or ranking module on top of the classical relational model. Instead, we generalize the very core of the model by replacing the classical, two-valued logic upon which the classical model is built by a more general logic involving a scale of truth degrees that, in addition to the classical truth degrees 0 and 1, contains intermediate truth degrees. While the classical truth degrees 0 and 1 represent nonequality and equality of values, and subsequently mismatch and match of queries, the intermediate truth degrees in the new model represent similarity of values and partial match of queries. Moreover, the truth functions of many-valued logical connectives in the new model serve to aggregate degrees of similarity. The presented approach is conceptually clean, logically sound, and retains most properties of the classical model while enabling us to employ new types of queries and data dependencies. Most importantly, similarity is not handled in an ad hoc way or by putting a "similarity module" atop the classical model in our approach. Rather, it is consistently viewed as a notion that generalizes and replaces equality in the very core of the relational model. We present fundamentals of the formal model and two equivalent query systems which are analogues of the classical relational algebra and domain relational calculus with range declarations. In the sequel to this paper, we deal with similarity-based dependencies.
机译:我们提出了一种通用的数据秩感知模型,该模型支持处理关系数据库中的相似性。该模型基于以下假设:在许多情况下,需要用表示值相似程度的相似关系替换数据表中值的相等性。在这种情况下,我们研究了模型中出现的各种现象,包括基于相似度的查询和基于相似度的数据依赖性。我们模型中的中心概念是具有相似性的域上的排序数据表,这与经典关系模型中的关系方案中的关系概念相对应。与涵盖相关问题的其他方法相比,我们没有在经典关系模型的基础上提出基于相似度或排名的模块。取而代之的是,我们通过替换更为经典的逻辑来概括模型的核心,而经典的二值逻辑基于经典的二值逻辑来构建经典模型,该逻辑涉及真度等级,除了经典真度等级0和1,包含中等真实度。传统的真度0和1表示值的不相等和相等,随后表示查询的不匹配和匹配,而新模型中的中间真度表示值的相似性和查询的部分匹配。此外,在新模型中,多值逻辑连接词的真函数用于聚集相似度。所提出的方法从概念上讲是干净的,逻辑上合理的,并且保留了经典模型的大多数属性,同时使我们能够采用新型的查询和数据依赖性。最重要的是,在我们的方法中,相似性不是以临时方式或通过在经典模型上放置“相似性模块”来处理的。相反,它始终被视为在关系模型最核心的泛化和替代平等的概念。我们介绍了形式模型的基本原理和两个等效的查询系统,它们与带范围声明的经典关系代数和域关系演算类似。在本文的续篇中,我们处理了基于相似性的依赖关系。

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