论文标题

表达推理图存储:用于管理RDF和属性图数据库的统一框架

Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases

论文作者

Neelam, Sumit, Sharma, Udit, Bhatia, Sumit, Karanam, Hima, Likhyani, Ankita, Abdelaziz, Ibrahim, Fokoue, Achille, Subramaniam, L. V.

论文摘要

资源说明框架(RDF)和属性图(PG)是两个最常用的数据模型,用于表示,存储和查询图形数据。我们提出了富有表现力的推理图存储(ERGS) - 构建在Janusgraph(属性图存储)顶部的图表,该图还允许存储和查询RDF数据集。首先,我们描述了如何将RDF数据转换为属性图表示,然后描述一个查询翻译模块,该模块将SPARQL查询转换为一系列Gremlin遍历。因此,开发的转换器和翻译器可以允许任何Apache TinkerPop符合图形数据库存储和查询RDF数据集。我们证明了使用JanusGraph作为基本属性图存储的建议方法的有效性,并将其性能与标准RDF系统进行了比较。

Resource Description Framework (RDF) and Property Graph (PG) are the two most commonly used data models for representing, storing, and querying graph data. We present Expressive Reasoning Graph Store (ERGS) -- a graph store built on top of JanusGraph (a Property Graph store) that also allows storing and querying of RDF datasets. First, we describe how RDF data can be translated into a Property Graph representation and then describe a query translation module that converts SPARQL queries into a series of Gremlin traversals. The converters and translators thus developed can allow any Apache Tinkerpop compliant graph database to store and query RDF datasets. We demonstrate the effectiveness of our proposed approach using JanusGraph as the base Property Graph store and compare its performance with standard RDF systems.

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