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Increasing amounts of scientific and social data are published in theResource Description Framework (RDF). Although the RDF data can be queriedusing the SPARQL language, even the SPARQL-based operation has a limitation inimplementing traversal or analytical algorithms. Recently, a variety of graphdatabase implementations dedicated to analyses on the property graph model haveemerged. However, the RDF model and the property graph model are notinteroperable. Here, we developed a framework based on the Graph to GraphMapping Language (G2GML) for mapping RDF graphs to property graphs to make themost of accumulated RDF data. Using this framework, graph data described in theRDF model can be converted to the property graph model and can be loaded toseveral graph database engines for further analysis. Future works includeimplementing and utilizing graph algorithms to make the most of the accumulateddata in various analytical engines.

Mapping RDF Graphs to Property Graphs