Ontology Alignment Optimization Method Based on NSGA-II

摘要：

　　In this paper,we propose a novel approach based on NSGA-II to address the problem of optimizing the aggregation of three different basic similarity measures(SyntacticMeasure,Linguistic Measure and Taxonomy-based Measure).Comparing with conventional genetic algorithm,the proposed method is able to realize three goals simultaneously,i.e.maximizing the alignment recall,the alignment precision and the f-measure,andthe resulted ontology alignment could avoid bias to recall or precision value.Experimental results show that the proposed approach is effective.

关键词： Ontology Alignment NSGA-II Aggregation of similarity measure

作者: Shaorong Feng

作者单位: School of Information Science and Engineering,Xiamen University,Xiamen 361005,China

会议类型: 国际会议

会议名称: 2019年第二届智能系统研究与机电工程国际会议(ISRME 2019) 2019 2nd International Conference on Intelligent Systems Research and Mechatronics Engineering

会议地点: 太原

会议语种:英文

页码: 104-111

在线出版日期: 2019-06-29（万方平台首次上网日期，不代表论文的发表时间）