Resource Description Framework (RDF) provides the foundation for publishing and linking data, and is the standard and a key enabling component for the Semantic Web. RDF, by nature, results in very large data sets because the underlying schema is simple but reflects very complex data relationships. Although it is machine friendly, it is difficult to view by humans.
Many important relationships and trends hidden in RDF data are potentially captured in complex patterns. Therefore, RDF data in raw form does not provide much insight when viewed solely by the human eye. Tools like data visualization and social network analysis applications allow a new and powerful way to view, explore, and understand complex RDF data better and faster at the speed of thought.
Two weeks ago, we attended SemTech 2011 where our CTO, Dr. Francois Bertault, gave a short demonstration of Tom Sawyer Perspectives in Oracle’s tutorial session. The demonstration featured an example application built with Tom Sawyer Perspectives for visualizing RDF data from the Oracle Semantic Data Store. It showcased RDF integration and social network analysis capabilities, along with powerful interactive features for navigating and exploring complex data.
Below is a short video of the example application we demoed at SemTech. This application was built in only 3 days using soon-to-be released Tom Sawyer Perspectives, Verison 3.0. The RDF data set used in this example is from SEC 10-K filings involving 1.8M+ triples. The data is accessed from Oracle Database 11g Semantic Technologies.