RDF Store

Data Storage and Sources
Updated on:
February 20, 2024

What is RDF Store

An RDF store, also known as a triplestore, is a type of graph database specialized for storing and querying Resource Description Framework (RDF) data. RDF represents facts as subject-predicate-object triples that form a graph structure.

RDF stores provide mechanisms for storing, indexing, and querying collections of RDF triples to support knowledge representation and reasoning. They allow running SPARQL queries to retrieve facts connected by relationships. RDF stores are commonly used for knowledge graphs, semantic web applications, linked open data, and metadata management.

FAQ

What are some typical use cases for an RDF store?

  • Knowledge graphs
  • Semantic web and linked open data
  • Metadata management
  • Master data management

What are the key capabilities of an RDF store?

  • Storing RDF triples efficiently
  • SPARQL querying of interconnected facts
  • Inferencing over RDF graph patterns
  • Managing large collections of triples

What types of queries and APIs do they support?

  • SPARQL queries for graph patterns
  • RDF APIs for managing triples
  • Endpoints for SPARQL queries
  • Rules and inference support

How do RDF stores differ from other graph and NoSQL databases?

  • Optimized for RDF triples specifically
  • Native SPARQL support
  • Built-in inferencing rules
  • Can integrate with multiple backends
  • Flexibility in graph models

What are some examples of popular RDF stores?

References

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