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PRSC: From PG to RDF and back, using schemas

Authors: Bruyat, Julian; Champin, Pierre-Antoine; Médini, Lionel; Laforest, Frédérique;

PRSC: From PG to RDF and back, using schemas

Abstract

Property graphs (PG) and RDF graphs are two popular database graph models, but they are not interoperable: data modeled in PG cannot be directly integrated with other data modeled in RDF. This lack of interoperability also impedes the use of the tools of one model when data are modeled in the other. In this paper, we propose PRSC, a configurable conversion to transform a PG into an RDF graph. This conversion relies on PG schemas and user-defined mappings called PRSC contexts. We also formally prove that a subset of PRSC contexts, called well-behaved contexts, can be used to reverse back to the original PG, and provide the related algorithm. Algorithms for conversion and reversion are available as open-source implementations.

Country
France
Keywords

RDF graph, Schema, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], Property Graph, Conversion

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid