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Benchmarking RDF Metadata Representations: Reification, Singleton Property and RDF*

机译:基准RDF元数据表示:Reification,Singleton属性和RDF *

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RDF reification is a data modelling solution for writing RDF statements about RDF statements. A set of approaches exist in the literature to express statement-level metadata, or “reified” statements, in RDF. They have primarily been designed to attach additional contextual information to individual triples, such as provenance, spatio-temporal validity, or certainty. Practically, different methods have been developed to present such metadata while complying with the RDF standard and syntax. However, when effectively stored in triplestores, these various solutions produce diverse results in terms of querying performance, storage efficiency and usability. In this article, we analyse these metrics across three popular reification approaches: Standard Reification, Singleton Property and the recent RDF*. We publish our benchmark evaluation resources so that the community could expand and compare the study on different datasets, reification approaches and storage implementations.
机译:RDF Reification是用于编写关于RDF语句的RDF语句的数据建模解决方案。文献中存在一组方法来表达声明级元数据,或“Reified”语句,在RDF中。它们主要旨在将额外的上下文信息附加到各个三元组,例如出处,时空有效性或确定性。实际上,已经开发出不同的方法来呈现此类元数据,同时遵守RDF标准和语法。但是,当有效地存储在三平位中时,这些各种解决方案在查询性能,存储效率和可用性方面产生多样化的结果。在本文中,我们分析了三种流行的综述方法:标准雷则,单身财产和最近的RDF *。我们发布了我们的基准评估资源,以便社区可以扩展和比较对不同数据集的研究,综合方法和存储实施。

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