Datenschutzerklärung|Data Privacy

A. Borusan

21.11.2011, 16 Uhr c.t. Raum: EN 719, TU Berlin, Einsteinufer 17, 10587 Berlin: "dipLODocus[RDF]--Short and Long-Tail RDF Analytics for Massive Webs of Data" (Philippe Cudre-Mauroux, University of Fribourg, Switzerland)

The proliferation of semantic data on the Web requires RDF database systems to constantly improve their scalability and transactional efficiency. At the same time, users are increasingly interested in investigating or visualizing large collections of online data by performing complex analytic queries. This paper introduces a novel database back-end for RDF data called dipLODocus RDF, which supports both transactional and analytical queries efficiently. dipLODocus RDF takes advantage of a new hybrid storage model for RDF data based on recurring graph patterns. In this talk, I will describe the general architecture of the system and compare its performance to state-of-the-art solutions for both transactional and analytic workloads.