Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases
This work addresses the need for interoperability between RDF and Property Graph databases, which is incremental as it builds on existing graph store technologies.
The paper tackled the problem of managing both RDF and Property Graph databases by proposing ERGS, a unified framework that translates RDF data and SPARQL queries into Property Graph representations and Gremlin traversals, achieving performance comparable to standard RDF systems.
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.