论文标题
简单而复杂：使用RDF-Star和命名图的元数据建模的新观点
Easy and complex: new perspectives for metadata modeling using RDF-star and Named Graphs
论文作者
论文摘要
资源描述框架框架是用于数据建模的通用语言，旨在使用语句以实例和模式级别集成异质数据。尽管RDF在概念上很简单，但是当需要表示复杂的数据时，数据模型仍然会变得复杂。使用中间资源而不是简单属性的其他间接级别导致数据的潜在用户更高的障碍。基于三种模式，我们认为将信息转移到元级别不仅可以用来（1）提供出处信息，而且还可以帮助（2）（2）维持现有模型的向后兼容性，以及（3）降低数据模型的复杂性。但是，RDF中有多种使用元级别的方法，即提供有关语句的其他语句。使用命名的图，存在着一个公认的机制来描述陈述群。但是，自成立以来，很难就单个陈述做出陈述。随着RDF-Star的引入，现在可以提供有关提供有关单个语句的数据的新方法。我们表明，RDF-Star和命名图的组合是表达元级别数据的可行解决方案，并提出该元级别应用作数据建模的一流公民。
The Resource Description Framework is well-established as a lingua franca for data modeling and is designed to integrate heterogeneous data at instance and schema level using statements. While RDF is conceptually simple, data models nevertheless get complex, when complex data needs to be represented. Additional levels of indirection with intermediate resources instead of simple properties lead to higher barriers for prospective users of the data. Based on three patterns, we argue that shifting information to a meta-level can not only be used to (1) provide provenance information, but can also help to (2) maintain backwards compatibility for existing models, and to (3) reduce the complexity of a data model. There are, however, multiple ways in RDF to use a meta-level, i.e., to provide additional statements about statements. With Named Graphs, there exists a well-established mechanism to describe groups of statements. Since its inception, however, it has been hard to make statements about single statements. With the introduction of RDF-star, a new way to provide data about single statements is now available. We show that the combination of RDF-star and Named Graphs is a viable solution to express data on a meta-level and propose that this meta-level should be used as first class citizen in data modeling.
