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Reconciliation of RDF* and Property Graphs
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Both the notion of Property Graphs (PG) and the Resource Description Framework (RDF) are commonly used models for representing graph-shaped data. While there exist some system-specific solutions to convert data from one model to the other, these solutions are not entirely compatible with one another and none of them appears to be based on a formal foundation. In fact, for the PG model, there does not even exist a commonly agreed-upon formal definition. The aim of this document is to reconcile both models formally. To this end, the document proposes a formalization of the PG model and introduces well-defined transformations between PGs and RDF. As a result, the document provides a basis for the following two innovations: On one hand, by implementing the RDF-to-PG transformations defined in this document, PG-based systems can enable their users to load RDF data and make it accessible in a compatible, system-independent manner using, e.g., the graph traversal language Gremlin or the declarative graph query language Cypher. On the other hand, the PG-to-RDF transformation in this document enables RDF data management systems to support compatible, system-independent queries over the content of Property Graphs by using the standard RDF query language SPARQL. Additionally, this document represents a foundation for systematic research on relationships between the two models and between their query languages.
Forward citations
Cited by 3 Pith papers
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Common Foundations for SHACL, ShEx, and PG-Schema
SHACL, ShEx, and PG-Schema are recast on a single common graph model, and their shared core CoGSL is shown to be expressible in all three.
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CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era
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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Online Analytical Processsing on Graph Data
A formal OLAP algebra over labeled directed hypergraphs, called graphoids, is defined and shown to simulate classic data-cube operations.
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