RDF has seen increased adoption in recent years, prompting the standardization of the SPARQL query language for RDF, and the development of local and distributed engines for processing SPARQL queries. This survey paper provides a comprehensive review of techniques and systems for querying RDF knowledge graphs. While other reviews on this topic tend to focus on the distributed setting, the main foc
This page is for references to signed quotes of deployments of large triples stores rather than predictions of what some software might scale to. (Ordered by reported triple/quad counts in descending order) Oracle Spatial and Graph with Oracle Database 12c (1.08 T) LUBM 4400K: 1.08 Trillion triples were loaded, inferred and queried executing the Lehigh University Benchmark (LUBM) on an Oracle Exad
RDF API Interact with the core API to create and read Resource Description Framework (RDF) graphs. Serialise your triples using popular formats such as RDF/XML or Turtle. ARQ (SPARQL) Query your RDF data using ARQ, a SPARQL 1.1 compliant engine. ARQ supports remote federated queries and free text search.
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