OPTIMIZING MULTIPLE ONTOLOGY ALIGNMENTS THROUGH HYBRID EVOLUTIONARY ALGORITHM BASED ON A NEW ELITIST STRATEGY
Li Jun Jiang, Pei‐Wei Tsai, Xingsi Xue · Swinburne figshare (Swinburne University of Technology) · 2016
In this paper, we propose a hybrid evolutionary algorithm based on a new elitist strategy to address the problem of optimizing the multiple ontology alignments simultaneously. Comparing with the conventional approach, our method is able to deal with multiple pair of ontologies at a time, and through a new elitist strategy, avoid the bias improvement caused by f-measure. Experimental results show that our approach is effective.