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Mapping RDF Graphs to Property Graphs

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arxiv 1812.01801 v1 pith:T3O7E5KX submitted 2018-12-05 cs.DB

Shota Matsumoto , Ryota Yamanaka , Hirokazu Chiba This is my paper · ORCID
classification cs.DB
keywords graphdatamodelpropertygraphsframeworkmappingaccumulated
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 1 Pith paper

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  1. CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era

    cs.CL 2024-12 conditional novelty 6.0 of 10

    CypherBench provides 11 Wikidata-derived property graphs and 10,000+ text-to-Cypher questions, and state-of-the-art LLMs currently answer only about 60% correctly.

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