Concurrent Classification of OWL Ontologies - An Empirical Evaluation.
Mina Aslani, Volker Haarslev · 2012
Abstract. This paper describes our progress in developing algorithms for concurrent classification of OWL ontologies. We refactored the architecture of our research prototype and its employed algorithms by integrating lock-free data structures and adopting various optimizations to reduce overhead. In comparison to our earlier work we increased the size of classified ontologies by one order of magnitude, i.e., the size of processed ontologies is now beyond a quarter million of OWL classes. The main focus of this paper is an empirical evaluation with huge ontologies that demonstrates an excellent speedup that almost directly corresponds to the number of used processors or cores. 1