Matching Knowledge Graphs with Compact Niching Evolutionary Algorithm

作者：

Highlights：

• An approximate evaluation metric and the mathematical model is constructed.

• A meta-heuristics based Knowledge Graph (KG) meta-matching framework is presented.

• A Compact Niching Evolutionary Algorithm (CNEA) is proposed to solve the problem.

摘要

•An approximate evaluation metric and the mathematical model is constructed.•A meta-heuristics based Knowledge Graph (KG) meta-matching framework is presented.•A Compact Niching Evolutionary Algorithm (CNEA) is proposed to solve the problem.

论文关键词：Knowledge Graph matching,Compact Niching Evolutionary Algorithm,Compact evolutionary mechanism,Niching strategy

论文评审过程：Received 12 July 2021, Revised 28 March 2022, Accepted 25 April 2022, Available online 7 May 2022, Version of Record 13 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117371