论文标题
利用社区摘要在RDBMS上进行有效的RDF查询
Leveraging Neighborhood Summaries for Efficient RDF Queries on RDBMS
论文作者
论文摘要
使用结构信息来总结图形结构化的RDF数据有助于解决查询性能问题。但是，利用结构索引需要修改甚至重新设计RDF系统的内部。考虑到已经将重量加载到关系RDF系统中的RDF数据集，我们旨在改善此类系统上的查询性能。我们这样做是通过总结邻里结构并将它们编码为可以在存在的实例数据旁边管理的三元组中。在查询时，我们最佳选择有效的结构模式，并将这些模式添加到现有查询中以获得改进的查询性能。经验评估表明我们方法的有效性。
Using structural informations to summarize graph-structured RDF data is helpful in tackling query performance issues. However, leveraging structural indexes needs to revise or even redesign the internal of RDF systems. Given an RDF dataset that have already been bulk loaded into a relational RDF system, we aim at improving the query performance on such systems. We do so by summarizing neighborhood structures and encoding them into triples which can be managed along side the exist instance data. At query time, we optimally select the effective structural patterns, and adding these patterns to the existing queries to gain an improved query performance. Empirical evaluations shown the effectiveness of our method.
