RDFlinked

RDFLinked is an open-source framework designed for creating, linking, and querying RDF-based data to support Linked Data applications. It emphasizes simple data ingestion, scalable graph storage, and seamless interaction with external datasets through URIs and standard RDF vocabularies.

The architecture is modular, comprising a data ingestion layer for RDF and non-RDF sources, a graph store, a linking and alignment subsystem, ontology management, provenance and versioning, validation tools, and a query layer with SPARQL support. It exposes REST and SPARQL endpoints for integration.

Key features include support for RDF serializations (Turtle, RDF/XML, JSON-LD), SPARQL 1.1 capabilities, dataset federation, entity resolution, and schema alignment via mappings to common ontologies. Provenance capture follows PROV-O, enabling traceability of data origins and transformations.

RDFLinked is used in government open-data portals, cultural heritage projects, scientific-data sharing, and enterprise knowledge graphs. It supports data governance through versioning, access controls, and change tracking, helping organizations maintain data quality while linking internal and external datasets.

Interoperability is a core goal; RDFLinked promotes use of stable URIs and links to external resources using sameAs relations. It integrates with widely adopted vocabularies such as schema.org, Dublin Core, FOAF, and SKOS, enabling cross-collection queries and data reuse.

Development and licensing: RDFLinked is maintained by an open community under a permissive license, with regular releases and documentation. The project encourages contribution, peer review, and adherence to RDF and Linked Data best practices.

See also: RDF, SPARQL, Linked Data, Knowledge Graph.