Mapping RDF Graphs to Property Graphs
Shota Matsumoto, Ryota Yamanaka, Hirokazu Chiba

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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph Theory and Algorithms · Semantic Web and Ontologies · Advanced Graph Neural Networks
