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sihjoin：查询远程和本地链接数据SIHJoin: Querying Remote and Local Linked Data |
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| 课程网址: | http://videolectures.net/eswc2011_ladwig_quering/ |
| 主讲教师: | Günter Ladwig |
| 开课单位: | 卡尔斯鲁厄理工学院 |
| 开课时间: | 2011-07-07 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The amount of Linked Data is increasing steadily. Optimized top-down Linked Data query processing based on complete knowledge about all sources, bottom-up processing based on run-time discovery of sources as well as a mixed strategy that combines them has been proposed. One particular problem with Linked Data processing is that the heterogeneity of the sources and access options lead to varying input latency, rendering the application of blocking join operators infea- sible. Previous work partially address this by proposing a non-blocking iterator-based operator and another one based on symmetric-hash join. In this paper, we propose detailed cost models for these two operators to systematically compare them, and to allow for query optimization. Further, we propose a novel operator called the Symmetric Index Hash Join to address one open problem of Linked Data query processing: to query not only remote but also local Linked Data. We perform experiments on real-world datasets to compare our approach against the iterator-based baseline, and create a synthetic dataset to more systematically analyze the impacts of the individual components captured by the proposed cost models. |
| 关 键 词: | 关联数据; 混合策略; 异构性 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-13：cwx |
| 阅读次数: | 32 |