  In this paper we report on a black-box approach to parallelize existing
description logic (DL) reasoners for the Web Ontology Language (OWL). We focus
on OWL ontology classification, which is an important inference service and
supported by every major OWL/DL reasoner. We propose a flexible parallel
framework which can be applied to existing OWL reasoners in order to speed up
their classification process. In order to test its performance, we evaluated
our framework by parallelizing major OWL reasoners for concept classification.
In comparison to the selected black-box reasoner our results demonstrate that
the wall clock time of ontology classification can be improved by one order of
magnitude for most real-world ontologies.
