A Formal Design Framework for Practical Property Graph Schema Languages

Nimo Beeren, G. Fletcher
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Abstract

Graph databases are increasingly receiving attention from industry and academia, due in part to their flexibility; a schema is often not required. However, schemas can significantly benefit query optimization, data integrity, and documentation. There currently does not exist a formal framework which captures the design space of state-of-the-art schema solutions. We present a formal design framework for property graph schema languages based on first-order logic rules, which balances expressivity and practicality. We show how this framework can be adapted to integrate a core set of constraints common in conceptual data modeling methods. To demonstrate practical feasibility, this model is imple-mented using graph queries for modern graph database systems, which we evaluate through a controlled experiment. We find that validation time scales linearly with the size of the data, while only using unoptimized straightforward implementations.
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实用属性图模式语言的形式化设计框架
图数据库越来越受到工业界和学术界的关注,部分原因是其灵活性;通常不需要模式。但是,模式可以显著地促进查询优化、数据完整性和文档编制。目前还不存在一个正式的框架来捕捉最先进的模式解决方案的设计空间。提出了一种基于一阶逻辑规则的属性图模式语言的形式化设计框架,该框架兼顾了表达性和实用性。我们将展示如何调整此框架以集成概念数据建模方法中常见的一组核心约束。为了证明该模型的实际可行性,我们在现代图数据库系统中使用图查询来实现该模型,并通过对照实验对其进行了评估。我们发现验证时间与数据大小呈线性关系,而只使用未优化的直接实现。
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