PRSP:A Plugin-based Framework for RDF Stream Processing
PRSP:A Plugin-based Framework for RDF Stream Processing
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PRSP：基于插件的 RDF 流处理框架
DOI：
10.1145/3041021.3054243
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发表时间：
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通讯作者：
Zhiyong Feng
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作者：
Qiong Li;Xiaowang Zhang;Zhiyong Feng
在本文中，我们提出了一个基于插件的框架RDF流处理（PRSP）。有了这个框架，我们可以应用SPARQL引擎来处理C-SPARQL查询，并以一种简单的方式保持这些引擎的高性能。利用PRSP，我们可以通过分布式SPARQL引擎在分布式上下文中处理大型RDF流。此外，我们可以评估现有的SPARQL引擎在处理RDF流的性能和正确性，在一个统一的方式，这修正了他们的评估范围从静态RDF到动态RDF。最后，我们在YABench上对PRSP的性能和正确性进行了实验评估。实验结果表明，PRSP在RDF流处理上与SPARQL引擎相比，虽然有一些细微的差别，但仍然保持了较高的性能。
In this paper, we propose a plugin-based framework for RDF stream processing (PRSP). With this framework, we can apply SPARQL engines to process C-SPARQL queries with maintaining the high performance of those engines in a simple way. Taking advantage of PRSP, we can process large RDF streams in a distributed context via distributed SPARQL engines. Moreover, we can evaluate the performance and correctness of existing SPARQL engines in handling RDF streams in a united way, which amends the evaluation of them ranging from static RDF to dynamic RDF. Finally, we experimentally evaluate the performance and correctness of PRSP on YABench. The experiments show that PRSP can still maintain the high performance with SPARQL engines in RDF stream processing although there are some slight differences among them.