一种分布式数据结构的分布式处理基础结构
A Distributed Process Infrastructure for a Distributed Data Structure
摘要：
资源描述框架（RDF）正在不断发展，超出其最初作为元数据框架的功能范围，进入通用数据建模领域。RDF数据库储存库（称为三重存储）的容量和速度不断提高，促进了这一扩展。高端RDF三重存储可以保存和处理100亿个三重存储。为了提供RDF存储库中包含的数据的无缝集成，链接数据社区正在提供将RDF数据集链接到可由人和机器遍历的通用分布式图的规范。尽管RDF数据集的无缝集成很重要，但从目前存在的数据集的规模来看，万维网的“下载和索引”哲学不会那么容易地映射到语义网。本文讨论了在现有的分布式RDF数据结构中增加分布式RDF过程基础设施的重要性。
英文摘要：
The Resource Description Framework (RDF) is continuing to grow outside the bounds of its initial function as a metadata framework and into the domain of general-purpose data modeling. This expansion has been facilitated by the continued increase in the capacity and speed of RDF database repositories known as triple-stores. High-end RDF triple-stores can hold and process on the order of 10 billion triples. In an effort to provide a seamless integration of the data contained in RDF repositories, the Linked Data community is providing specifications for linking RDF data sets into a universal distributed graph that can be traversed by both man and machine. While the seamless integration of RDF data sets is important, at the scale of the data sets that currently exist and will ultimately grow to become, the "download and index" philosophy of the World Wide Web will not so easily map over to the Semantic Web. This essay discusses the importance of adding a distributed RDF process infrastructure to the current distributed RDF data structure.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
