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在Web上查询高可用性数据集

Querying Datasets on the Web with High Availability
课程网址: http://videolectures.net/iswc2014_verborgh_querying_datasets/  
主讲教师: Ruben Verborgh
开课单位: 视频讲座网
开课时间: 2014-12-19
课程语种: 英语
中文简介:
随着数据网络以越来越快的速度增长,对实时公共数据缺乏可靠的查询解决方案变得很明显。Sparql实现已经成熟,并且为公共Sparql端点提供了令人印象深刻的性能,但是糟糕的可用性(特别是在高负载下)阻碍了它们在实际应用程序中的使用。我们建议通过定义三重模式片段来解决这个可用性问题,这是一种特定类型的链接数据片段,它通过将智能从服务器移动到客户机来支持低成本的可查询数据发布。本文将链接数据片段的概念形式化,介绍了一种使用动态迭代器管道的客户端sparql查询处理算法,并验证了服务器在负载下的可用性。结果表明,以较低的性能为代价,使用三重模式片段的查询技术可以获得高可用性,从而允许在公共的、可查询的Linked Data之上建立可靠的应用程序。
课程简介: As the Web of Data is growing at an ever increasing speed, the lack of reliable query solutions for live public data becomes apparent. sparql implementations have matured and deliver impressive performance for public sparql endpoints, yet poor availability—especially under high loads— prevents their use in real-world applications. We propose to tackle this availability problem by defining triple pattern fragments, a specific kind of Linked Data Fragments that enable low-cost publication of queryable data by moving intelligence from the server to the client. This paper formalizes the Linked Data Fragments concept, introduces a client-side sparql query processing algorithm that uses a dynamic iterator pipeline, and verifies servers’ availability under load. The results indicate that, at the cost of lower performance, query techniques with triple pattern fragments lead to high availability, thereby allowing for reliable applications on top of public, queryable Linked Data.
关 键 词: 数据网络; 公共数据; 查询方案; 链接数据
课程来源: 视频讲座网
数据采集: 2022-11-20:chenxin01
最后编审: 2023-05-18:liyy
阅读次数: 19