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SPLODGE:系统生成链接开放数据的SPARQL基准查询

SPLODGE: Systematic Generation of SPARQL Benchmark Queries for Linked Open Data
课程网址: http://videolectures.net/iswc2012_goerlitz_splodge/  
主讲教师: Olaf Görlitz
开课单位: 科布伦茨 - 兰道大学
开课时间: 2012-12-03
课程语种: 英语
中文简介:
链接开放数据的分布式和异构特性需要灵活的联合技术来进行查询评估。为了评估当前的联合查询方法,执行基准的一般方法是强制性的。在本文中,我们提出了一种联邦SPARQL查询的分类方法。这种方法可以被联邦查询方法的开发人员用来组成一组测试基准,这些测试基准涵盖不同查询的不同特征,并允许比较。我们进一步开发了一个名为splodge的启发式方法,用于自动生成基于此方法的基准查询,并考虑了要查询的源的数量和几个复杂参数。我们通过在2011年10亿个三重挑战数据集上应用它们来评估我们的方法和查询生成策略的充分性。
课程简介: The distributed and heterogeneous nature of Linked Open Data requires flexible and federated techniques for query evaluation. In order to evaluate current federation querying approaches a general methodology for conducting benchmarks is mandatory. In this paper, we present a classi cation methodology for federated SPARQL queries. This methodology can be used by developers of federated querying approaches to compose a set of test benchmarks that cover diverse characteristics of di fferent queries and allows for comparability. We further develop a heuristic called SPLODGE for automatic generation of benchmark queries that is based on this methodology and takes into account the number of sources to be queried and several complexity parameters. We evaluate the adequacy of our methodology and the query generation strategy by applying them on the 2011 billion triple challenge data set.
关 键 词: 链接开放数据; 联合查询方法; 启发式方法; 三重挑战数据集
课程来源: 视频讲座网
最后编审: 2019-05-08:cjy
阅读次数: 42