论文标题
致力于多样性的RDF商店
Towards Diversity-tolerant RDF-stores
论文作者
论文摘要
我们提出了一种设计RDF商店的新型方法，目的是提高查询性能的一致性和可预测性。在设计这些系统时，通常需要三个属性：支持SPARQL查询功能（Q）的全部范围，在结构性和大小（S）方面支持广泛变化的RDF数据集以及高性能（P）。我们开发了经验的SPQ猜想，该猜想指出，可能不可能同时实现这三个desiderata。根据我们的实验结果，我们为其合理性提供了有力的案例。还讨论了基于SPQ猜想的三个和设计指南之间的权衡。
We propose a novel approach to designing RDF-stores with the goal of improving the consistency and predictability of query performance. When designing these systems, three properties are commonly desired: support for the full range of SPARQL query features (Q), support for widely varying RDF datasets in terms of structuredness and size (S), and high performance (P). We develop the empirical SPQ conjecture which states that it may be impossible to achieve all the three desiderata simultaneously. We present a strong case for its plausibility based on our experimental results. The tradeoffs among the three and design guidelines based on the SPQ conjecture are also discussed.
