SPARQL更新的动态来源
Dynamic Provenance for SPARQL Update
摘要：
虽然语义Web目前可以通过使用W3C PROV标准来展示出处信息，但在使用SPARQL将PROV连接到存储和查询RDF图的动态更改时存在“缺失的一环”。解决这个问题对于诸如为RDF创建版本控制系统这样的清晰用例是必需的。虽然一些起源模型和注释技术，用于存储和查询起源数据最初开发的数据库或工作流的头脑容易转移到RDF和SPARQL，这些技术不容易适应描述动态RDF数据集随时间的变化。在本文中，我们探讨了如何将Buneman等人的动态复制-粘贴起源模型[2]适应于随SPARQL更新而随时间变化的RDF数据集，如何以与W3C PROV兼容的方式将产生的起源记录本身表示为RDF，以及如何通过重新解释SPARQL更新来定义起源信息。本文的主要贡献是一个语义框架，使SPARQL更新的语义被用作一个“剪切和粘贴”的起源模型的基础上，在原则上的方式。
英文摘要：
While the Semantic Web currently can exhibit provenance information by using the W3C PROV standards, there is a "missing link" in connecting PROV to storing and querying for dynamic changes to RDF graphs using SPARQL. Solving this problem would be required for such clear use-cases as the creation of version control systems for RDF. While some provenance models and annotation techniques for storing and querying provenance data originally developed with databases or workflows in mind transfer readily to RDF and SPARQL, these techniques do not readily adapt to describing changes in dynamic RDF datasets over time. In this paper we explore how to adapt the dynamic copy-paste provenance model of Buneman et al. [2] to RDF datasets that change over time in response to SPARQL updates, how to represent the resulting provenance records themselves as RDF in a manner compatible with W3C PROV, and how the provenance information can be defined by reinterpreting SPARQL updates. The primary contribution of this paper is a semantic framework that enables the semantics of SPARQL Update to be used as the basis for a 'cut-and-paste' provenance model in a principled manner.
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。
