LargeRDFBench:SPARQL端点联合的十亿倍基准LargeRDFBench: A billion triples benchmark for SPARQL endpoint federation |
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课程网址: | http://videolectures.net/iswc2018_saleem_largerdfbench_billion_sp... |
主讲教师: | Muhammad Saleem |
开课单位: | 莱比锡大学敏捷知识工程与语义网(AKSW) |
开课时间: | 2018-11-22 |
课程语种: | 英语 |
中文简介: | 我们在这个基准上评估了最先进的SPARQL端点联合方法,包括查询运行时、三模式源选择、端点请求数量以及结果的完整性和正确性。我们的评估结果表明,当前SPARQL查询联合系统在简单查询上的性能(在总三重模式、查询结果集大小、执行时间、SPARQL功能的使用等方面)不能反映系统在更复杂查询上的表现。此外,当前的联合系统似乎无法处理涉及处理大型中间结果集或导致大型结果集的实际查询。 |
课程简介: | We evaluate state-of-the-art SPARQL endpoint federation approaches on this benchmark with respect to their query runtime, triple pattern-wise source selection, number of endpoints requests, and result completeness and correctness. Our evaluation results suggest that the performance of current SPARQL query federation systems on simple queries (in terms of total triple patterns, query result set sizes, execution time, use of SPARQL features etc.) does not reflect the systems' performance on more complex queries. Moreover, current federation systems seem unable to deal with real queries that involve processing large intermediate result sets or lead to large result sets. |
关 键 词: | LargeRDFBench; SPARQL端点联合; 十亿倍基准; 分布式数据Web收集信息 |
课程来源: | 视频讲座网 |
数据采集: | 2022-12-15:cyh |
最后编审: | 2022-12-20:cyh |
阅读次数: | 26 |