论文标题

以资源为导向的RDF流处理的流容器

Stream Containers for Resource-oriented RDF Stream Processing

论文作者

Schraudner, Daniel, Harth, Andreas

论文摘要

我们介绍了受链接数据平台启发的流容器,作为处理RDF流的替代方法。流容器代表单个RDF数据流,该数据流可以以资源为导向的方式访问,该方式可以更好地与现有的语义Web基础结构进行更好的互操作性。流容器由负责实现S2R操作员的Web服务器管理,即为客户计算窗口。另一方面,客户可以将标准SPARQL处理器与HTTP请求结合使用,以进行RDF处理。查询结果可以通过将数据发布到流容器中来转换回RDF流(R2S运算符)。我们以资源为导向的RDF流处理方法可以提高负载的分配,从而可以更好地分布全球可扩展性。我们对拟议的体系结构以及整体系统的正式语义进行了一般概述。

We introduce Stream Containers inspired by the Linked Data Platform as an alternative way to process RDF streams. A Stream Container represents a single RDF data stream that can be accessed in a resource-oriented way which allows for better interoperability with the existing Semantic Web infrastructure. Stream Containers are managed by webservers that are responsible for implementing the S2R operator, i.e. calculating the window for their clients. The clients on the other hand can use a standard SPARQL processor in combination with HTTP requests to do RDF processing. Query results can be converted back to an RDF stream (R2S operator) by posting the data to a Stream Container. Our approach of resource-oriented RDF stream processing can lead to a better distribution of load and thus to better worldwide scalability. We give a general overview of the proposed architecture as well as the formal semantics of the overall system.

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