图 书 馆
在三重模式碎片上查询大型知识图：一项实证研究Querying Large Knowledge Graphs over Triple Pattern Fragments: An Empirical Study |
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| 课程网址: | http://videolectures.net/iswc2018_heling_querying_fragments_study... |
| 主讲教师: | Lars Heling |
| 开课单位: | 卡尔斯鲁厄理工学院（KIT） |
| 开课时间: | 2018-11-22 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Triple Pattern Fragments (TPFs) are a novel interface for accessing data in knowledge graphs on the web. Up to this date, work on performance evaluation and optimization has focused mainly on SPARQL query execution over TPF servers. However, in order to devise querying techniques that efficiently access large knowledge graphs via TPFs, we need to identify and understand the variables that influence the performance of TPF servers on a fine-grained level. In this work, we assess the performance of TPFs by measuring the response time for different requests and analyze how the requests' properties, as well as the TPF server configuration, may impact the performance. For this purpose, we developed the Triple Pattern Fragment Profiler to determine the performance of TPF server. we conduct an empirical study over four real-world knowledge graphs in different server environments and configurations. As part of our analysis, we provide an extensive evaluation of the results and focus on the impact of the variables: triple pattern type, answer cardinality, page size, backend and the environment type on the response time. The results suggest that all variables impact on the measured response time and allow for deriving suggestions for TPF server configurations and query optimization. |
| 关 键 词: | 三重模式片段; 访问web上知识图; 影响TPF服务器性能; SPARQL查询执行 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-29：cyh |
| 最后编审: | 2023-05-15：cyh |
| 阅读次数: | 35 |