Optimizing ontology alignment through Memetic Algorithm based on Partial Reference Alignment

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Ontology alignment,Clustering,Partial Reference Alignment,Memetic Algorithm

论文评审过程：Available online 22 November 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.11.021