  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.
