| الملخص: | We present a novel approach to parallel materialisation (i.e., fixpoint
computation) of OWL RL Knowledge Bases in centralised, main-memory, multicore RDF systems. Our approach comprises a datalog reasoning algorithm that
evenly distributes the workload to cores, and an RDF indexing data structure that
supports efficient, ‘mostly’ lock-free parallel updates. Our empirical evaluation
shows that our approach parallelises computation very well so, with 16 physical
cores, materialisation can be up to 13.9 times faster than with just one core.
|
|---|