原生时间切片支持XML数据库

F. Mandreoli, R. Martoglia, E. Ronchetti
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引用次数: 1

摘要

提供结构化查询支持的XML数据库正变得越来越流行。正如我们所知,XML数据可能会随着时间的推移而变化,因此为涉及时间方面的查询提供有效的支持仍然是一个有待解决的问题。在本文中,我们提出了我们的本地时态XML查询处理器,它利用了一种依赖于关系方法的临时索引方案和支持时态切片的技术。正如我们通过广泛的实验评估所显示的那样,我们的解决方案获得了良好的效率结果,在处理与时间相关的应用需求时优于基于地层的解决方案,同时继续保证传统场景中的良好性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Native Temporal Slicing Support for XML Databases
XML databases, providing structural querying support, are becoming more and more popular. As we know, XML data may change over time and providing an efficient support to queries which also involve temporal aspects is still an open issue. In this paper we present our native Temporal XML Query Processor, which exploits an ad-hoc temporal in- dexing scheme relying on relational approaches and a technology supporting temporal slicing. As we show through an ex- tensive experimental evaluation, our solution achieves good efficiency results, outperforming stratum-based solutions when dealing with time-related application requirements while continuing to guarantee good performance in traditional scenarios.
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