Directly Mapping RDF Databases to Property Graph Databases
arXiv:1912.02127 · doi:10.1109/ACCESS.2020.2993117
Abstract
RDF triplestores and property graph databases are two approaches for data management which are based on modeling, storing, and querying graph-like data. In spite of such common principles, they present special features that complicate the task of database interoperability. While there exist some methods to transform RDF graphs into property graphs, and vice versa, they lack compatibility and a solid formal foundation. This paper presents three direct mappings (schema-dependent and schema-independent) for transforming an RDF database into a property graph database, including data and schema. We show that two of the proposed mappings satisfy the properties of semantics preservation and information preservation. The existence of both mappings allows us to conclude that the property graph data model subsumes the information capacity of the RDF data model.
This work has been accepted and published at the IEEE Access Journal DOI: 10.1109/ACCESS.2020.2993117
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- An introduction to Graph Data Management
- RDF 1.1: Knowledge Representation and Data Integration Language for the Web
- Foundations of an Alternative Approach to Reification in RDF
- The Query Translation Landscape: a Survey
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Cited by in corpus (7)
- Construction of Knowledge Graphs: State and Challenges
- RDF 1.1: Knowledge Representation and Data Integration Language for the Web
- Transforming RDF-star to Property Graphs: A Preliminary Analysis of Transformation Approaches -- extended version
- Common Foundations for SHACL, ShEx, and PG-Schema
- Semantic Property Graph for Scalable Knowledge Graph Analytics
- ProGS: Property Graph Shapes Language (Extended Version)
- The Typed Graph Model -- a Supermodel for Model Management and Data Integration