The growth of RDF data makes it imperative
that an efficient and scalable mechanism for inferencing RDF graphs be supported.
This presentation describes the inference engine in Oracle Database 11g
and Oracle support for RDF/RDFS/OWL inferencing.
A Scalable Scheme for Bulk Loading Large
RDF Graphs Into Oracle—PDF(576KB) or Flash(2.7MB)
The growth of RDF data makes it imperative
that an efficient and scalable mechanism for bulk-loading RDF graphs be
supported. This presentation analyzes the characteristics of RDF data and
their relevance in the design of a bulk-load scheme, outlines the bulk-load
scheme implemented as part of Oracle Database Semantic Technologies and
presents a performance study conducted with a variety of RDF graphs (from
UniProt and synthesized data of Lehigh University Benchmark) to demonstrate
the scalability of the approach.
Semantic Technologies Technical Talk for
OOW 2007—PDF(6.6MB) or Flash(5.9MB)
University of Texas Health Science Center
talk on semantic technologies use in translational bioInformatics to solve
the information integration dilemma with a case study on Public Health Preparedness
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