Oracle Spatial and Graph
RDF Semantic Graph - Presentations

Oracle OpenWorld 2014

  • 12c Coolest Graph Features in Oracle Database 12c—Learn how graph databases now provide a scalable and secure semantic metadata layer to unify and federate relational, big data, and fast data sources. Oracle Spatial and Graph is completely integrated with Oracle Database 12c, thereby providing developers with the enterprise-class performance, scalability, and security necessary for today’s graph-based applications. Lines of businesses are migrating to graph databases to build out their linked data, logical data warehousing, and data integration solutions. This presentation highlights how customers are benefiting from the enterprise-class performance, scalability, and security necessary for today’s graph -based applications. [CON7883] (PDF 1.7MB)
  • Big, Fast Graph Analysis and Data Management for Hadoop—This session discusses Oracle research on graph storage and analytics for big data. Property graphs, composed of vertices and edges with properties (key-value pairs), are ideal for modeling networks such as enterprise social networks, biological pathways, and call record graphs. Graph analytics include page ranking, centrality, clusters/communities, and more. Additionally, subgraph isomorphism enables discovery of subgraphs that match a given pattern or template. The presentation explores how very large graphs can be persistently managed in NoSQL and HBase repositories and processed with high-performance in-memory parallel graph algorithms. [CON4231] (PDF 900KB)

Oracle OpenWorld 2013

2013 Extremely Large Databases Conference


Oracle OpenWorld 2012

Semantic Technology & Business Conference, June 2012, San Francisco, CA

  • You Have Terabytes Worth of Triples, Now What? -- Mining Insights from Your Semantic Data Store—You need to make sense out of the millions or billions of triples you have gathered. The dearth of business intelligence (BI) and data mining (DM) tools for RDF data leaves an analyst little choice but to run SPARQL queries, and perform logical inferences as the only way to analyze semantic data. This presentation describes what is being done at Oracle to apply to semantic data the rich and easy-to-use features of enterprise-class tools that already exist in abundance for relational and XML data.—Xavier Lopez, Director Spatial & Semantic Technologies, Oracle and Zhe Wu, Consulting Member of Technical Staff, Oracle (2.8MB PDF)
  • Bringing Location Analysis to the Semantic Web with the OGC GeoSPARQL Standard—This presentation discusses the GeoSPARQL standard and will describe an implementation of the required spatial operations in a commercial RDF triple store.—Mathew Perry, Senior Member of Technical Staff, Oracle and Xavier Lopez, Director Spatial & Semantic Technologies, Oracle (6.7MB PDF)

Oracle OpenWorld 2011

Semantic Technologies Conference, June 2011, San Francisco, CA

Oracle OpenWorld 2010

Semantic Technologies Conference, June 2010, San Francisco, CA

Oracle OpenWorld 2009

Semantic Technologies Conference 2009

Oracle OpenWorld 2008

ICDE 2008

Oracle OpenWorld 2007