Mapping RDF Graphs to Property Graphs

TL;DR

This paper introduces a framework that converts RDF graphs into property graphs using G2GML, enabling the use of diverse graph databases for advanced analysis of RDF data.

Contribution

The paper presents a novel G2GML-based framework for interoperably mapping RDF graphs to property graphs, facilitating analysis across different graph database systems.

Findings

Framework successfully converts RDF to property graphs

Enables loading RDF data into multiple graph database engines

Facilitates advanced analysis of RDF data using property graph algorithms

Abstract

Increasing amounts of scientific and social data are published in the Resource Description Framework (RDF). Although the RDF data can be queried using the SPARQL language, even the SPARQL-based operation has a limitation in implementing traversal or analytical algorithms. Recently, a variety of graph database implementations dedicated to analyses on the property graph model have emerged. However, the RDF model and the property graph model are not interoperable. Here, we developed a framework based on the Graph to Graph Mapping Language (G2GML) for mapping RDF graphs to property graphs to make the most of accumulated RDF data. Using this framework, graph data described in the RDF model can be converted to the property graph model and can be loaded to several graph database engines for further analysis. Future works include implementing and utilizing graph algorithms to make the most of the accumulated data in various analytical engines.