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RDF4J is a Java-implemented framework for processing, storing and querying RDF data via SPARQL. It provides APIs for in-memory and persistent stores, transactions, RDFS/OWL support and HTTP(S) endpoints. Common uses include knowledge graphs, linked data, semantic integration and embedding in microservices and data pipelines.
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A Java-based framework and toolkit for storing, processing and querying RDF data using SPARQL.
RDF4J descends from the OpenRDF Sesame project, developed from 2001 at the Dutch National Research Information System; Eclipse took it over in 2016 and continued it as RDF4J.
RDF4J models statements as subject, predicate, and object triples. Repositories encapsulate storage, transactions, and queries; SPARQL and Rio parsers connect data access, serialization, and semantic processing.
Triples form the basic RDF statements.
Repositories encapsulate storage access and transactions.
SPARQL expresses graph queries.
RDF4J suits knowledge graphs and semantic integration in JVM applications. Modeling, inference rules, store selection, and query planning determine effort and response time.
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