Optimizing ontology alignment through Memetic Algorithm based on Partial Reference Alignment
We propose a novel methodology to solve the ontology alignment optimization problem, i.e., use MA to solve it. We propose a novel clustering algorithm for PRA (Partial Reference Alignment) construction. We apply PRA to overcome the drawback of existing approaches based on EA (Evolutionary Algorithm) for solving the meta-matching problem in ontology alignment.
ontology alignment memetic algorithm partial reference alignment clustering