RDF]: Short and Long-Tail RDF Analytics for Massive Webs of Data[梁龙(RDF):短期和长尾RDF分析大规模网络的数据dipLODocus |
|
课程网址: | http://videolectures.net/iswc2011_wylot_data/ |
主讲教师: | Marcin Wylot |
开课单位: | 弗里堡大学 |
开课时间: | 2011-11-25 |
课程语种: | 英语 |
中文简介: | Web上语义数据的激增要求RDF数据库系统不断提高其可扩展性和事务效率。与此同时,用户对通过执行复杂的分析查询来调查或可视化大量在线数据集合越来越感兴趣。本文介绍了一种新型的RDF数据管理数据库系统Diplodocus(RDF),它既支持事务查询,又支持分析查询。Diplodocus[RDF]利用了一种基于循环图模式的RDF数据混合存储模型。在本文中,我们描述了系统的一般架构,并将其性能与事务和分析工作负载的最新解决方案进行了比较。 |
课程简介: | The proliferation of semantic data on the Web requires RDF database systems to constantly improve their scalability and transactional efficiency. At the same time, users are increasingly interested in investigating or visualizing large collections of online data by performing complex analytic queries. This paper introduces a novel database system for RDF data management called dipLODocus[RDF] , which supports both transactional and analytical queries efficiently. dipLODocus[RDF] takes advantage of a new hybrid storage model for RDF data based on recurring graph patterns. In this paper, we describe the general architecture of our system and compare its performance to state-of-the-art solutions for both transactional and analytic workloads. |
关 键 词: | 计算机科学; 语义网; RDF - 资源描述框架 |
课程来源: | 视频讲座网 |
最后编审: | 2019-11-22:cwx |
阅读次数: | 50 |