Optimising parallel ABox reasoning of el ontologies
Yuan Ren, Jeff Z. Pan, Kevin Lee · 2012
Abstract. The success of modern multi-core processors makes it possible to develop parallel ABox reasoning algorithms to facilitate efficient reasoning on large scale ontological data sets. In this paper, we extend a parallel TBox reasoning algorithm for ELHR+ to a parallel ABox reasoning algorithm for ELH⊥,R+, which also supports the bottom concept so as to model disjointness and inconsistency. In design of algorithms, we exploit the characteristic of ABox reasoning in ELH⊥,R+ to improve parallelisation and reduce unnecessary resource cost. Particularly, we separate the TBox reasoning, ABox reasoning on types and ABox reasoning on relations. Our evaluation shows that a naive implementation of our approach can compute all ABox entailments of a Not-Galen − ontology with about 1 million individuals and 9 million axioms in about 3 minutes. 1