Typing query languages for data graphs

Dario Colazzo, C. Sartiani
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引用次数: 4

Abstract

Graph query languages are essentially untyped. The lack of type information greatly limits the optimization opportunities for query engines and makes application development more complex. In this paper we discuss a simple, yet expressive, schema language for edge-labelled data graphs. This schema language is, then, used to define a query type inference approach with good precision properties.
为数据图输入查询语言
图查询语言本质上是无类型的。类型信息的缺乏极大地限制了查询引擎的优化机会,并使应用程序开发更加复杂。在本文中,我们讨论了一种简单而富有表现力的边缘标记数据图的模式语言。然后,使用这种模式语言定义具有良好精度属性的查询类型推断方法。
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