Direct Mappings between RDF and Property Graph Databases

Thakkar, Harsh, Angles, Renzo, Tomaszuk, Dominik, Lehmann, Jens

arXiv.org Artificial Intelligence 

RDF [21] and Graph databases [27] are two approaches for data management that are based on modeling, storing and querying graph-like data. The database systems based on these models are gaining relevance in the industry due to their use in various application domains where complex data analytics is required [2]. RDF triplestores and graph database systems are tightly connected as they are based on graph data models. RDF databases are based on the RDF data model [21], their standard query language is SPARQL [15], and RDF Schema [8] allows to describe classes of resources and properties (i.e. the data schema). On the other hand, most graph databases are based on the Property Graph (PG) data model, there is no standard query language, and there is no standard notion of property graph schema [25]. Therefore, RDF and PG database systems are dissimilar in data model, schema constraints and query language.

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