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Graph Queries in a Next-Generation Datalog System

机译:在下一代DataLog系统中的图表查询

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Recent theoretical advances have enabled the use of special monotonic aggregates in recursion. These special aggregates make possible the concise expression and efficient implementation of a rich new set of advanced applications. Among these applications, graph queries are particularly important because of their pervasiveness in data intensive application areas. In this demonstration, we present our Deductive Application Language (DeAL) System, the first of a new generation of Deductive Database Systems that support applications that could not be expressed using regular stratification, or could be expressed using XY-stratification (also supported in DeAL) but suffer from inefficient execution. Using example queries, we will (ⅰ) show how complex graph queries can be concisely expressed using DeAL and (ⅱ) illustrate the formal semantics and efficient implementation of these powerful new monotonic constructs.
机译:最近的理论前进使得能够在递归中使用特殊单调聚集体。这些特殊的聚合可以提出简洁的表达和有效地实现丰富的新型高级应用程序。在这些应用中,图表查询尤其重要,因为它们在数据密集型应用领域的普及。在这次演示中,我们介绍了我们的演绎应用语言(交易)系统,首先是支持无法使用常规分层表达的应用程序的新一代Deptuctive数据库系统,或者可以使用XY-strations表示(也支持交易)但遭受低效的执行。使用示例查询,我们将显示(Ⅰ)显示如何使用交易和(Ⅱ)说明复杂的图表查询和(Ⅱ)说明了这些强大的新单调结构的正式语义和有效的实施。

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