Oracle Database 11g Semantic Technologies makes enterprise data smarter:
Stores rich, real-world relationships in the data beyond columns, table joins and Boolean to obtain more semantically complete query results.
Enables machine-driven discovery of new relationships using the native Oracle Database inference engine, ontologies, and RDFS /SKOS/OWL semantics and user defined rules. Inferred data is persisted in the database for faster querying.
Queries relationship patterns using either direct SPARQL access to Oracle Database 11g via Jena, Sesame or Joseki, or SQL with SPARQL-like clauses.
Supports W3C standards for the representation, vocabulary, inferencing and querying of relationships, including RDF, SKOS, RDFS, OWL, and SPARQL.
Supports key open source technologies, including Jena, Joseki, ARQ, Sesame, Pellet, D2RQ, Jetty, Cytoscape, GATE, and Protégé.
Secures RDF data at the graph and/or the triple level with declarative constraints on RDF classes and properties or EAL4+ multi-level security and mandatory access control.
Semantic Indexing finds documents of interest stored in Oracle Database and works with 3rd party entity extraction services, such as OpenCalais and GATE.
Performance and Scalability:
Employs SQL*Loader direct-path loading and partitioning. Reduces storage requirements by over 60% with page-level compression and efficient storage that eliminates RDF URI redundancy.
Inferencing, including incremental and parallel modes, is done in advance of queries and persisted for scalability and faster querying.
RDF queries benefit from page-level compression that reduces I/O, and the Oracle cost based optimizer and hints to maximize performance.