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Oracle as a RDF Graph
RDF graph is a W3C standards-based, full-featured graph store in Oracle Database for scalable and secure Knowledge Graph, Linked Data and Social Networks applications.
RDF Graph Features
Standards-based RDF data management and analysis
Oracle Database includes advanced RDF graph data management and analysis. It provides native support for RDF and OWL, W3C-standards for representing and defining knowledge graphs, semantic data, and SPARQL, a graph query language, enabling comprehensive RDF query, reasoning, and analytics.
Open, performant, scalable RDF graph data platform
RDF graph leverages Oracle Database features such as triple-level security, Exadata, RAC, compression, partitioning, In-Memory Database, parallel query, and high availability for excellent performance and scalability, for data sets in the trillions of quads.
Supports Knowledge Graph, Linked Data, and Social Network applications
RDF graphs create a unified metadata layer for disparate applications that facilitates identification, integration, and discovery. RDF graphs are central to knowledge management, linked data and social network applications common in the healthcare and life sciences, finance, media and intelligence communities.
Software and
Downloads
Documentation
Presentations
- Build Knowledge Graphs with Oracle RDF to Extract More Value from Your Data- - Analytics and Data Summit 2019
- RDF Graph – New Features for 18c (PDF)
- RDF Graph – Feature Overview (PDF)
- RDF Graph Applications: Rapid Development and Deployment in Oracle Cloud - Analytics and Data Summit 2020 (PDF)
- Graphs in Oracle: RDF versus Property Graphs (PDF)
- More presentations from Analytics and Data Summit 2020
- Coolest Graph Features in Oracle Database for Enterprise Data Management (PDF)
- Realizing the Benefits of Linked Geospatial Data with R2RML and GeoSPARQL – SmartData 2017 (PDF)
- Developing GeoSPARQL Applications with Oracle Spatial and Graph – International Semantic Web Conference 2015 (PDF)
- There's a Property Graph in my Triplestore - Using an RDF Triplestore to Manage, Model, and (SPARQL) Query Property Graphs (PDF)
Customers
- Enhancing Statistical Discovery at Japan's National Statistics Center with Oracle RDF on Oracle Cloud (PDF)
- Publication of Statistical Linked Open Data in Japan with Oracle RDF Graph (PDF)
- Florence Fraud Detection System - How to Discover New Possible Tax Evaders Using the Oracle 12c Spatial and Graph Option (PDF)
- Serving Ireland's Authoritative Geospatial Data as Linked Data (PDF)
Academic Papers
- Improving RDF Query Performance using In-Memory Virtual Columns in Oracle Database - 2019 IEEE 35th International Conference on Data Engineering
- Exploring Large RDF Datasets using a Faceted Search - International Semantic Web Conference 2015
- Developing GeoSPARQL Applications with Oracle Spatial and Graph – International Semantic Web Conference 2015
- A Tale of Two Graphs: Property Graphs as RDF in Oracle—International Conference on Extending Database Technology 2014