A Compact co-Firefly Algorithm for Matching Ontologies

被引:0
作者
Xue, Xingsi [1 ]
Chen, Junfeng [2 ]
机构
[1] Fujian Univ Technol, Fujian Prov Key Lab Big Data Min & Applicat, Fujian Key Lab Automot Elect & Elect Dr, Coll Informat Sci & Engn,Intelligent Informat Pro, Fuzhou, Fujian, Peoples R China
[2] Hohai Univ, Coll IOT Engn, Changzhou, Jiangsu, Peoples R China
来源
2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019) | 2019年
基金
中国国家自然科学基金;
关键词
Ontology Matching; Firefly Algorithm; compact encoding mechanism; co-Evolutionary mechanism; MEMETIC ALGORITHM;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Ontologies can provide the shared knowledge for the intelligent systems to implement their collaboration. However, the heterogeneous entities seriously hampers two ontologies' communication. It is necessary to determine the entity mappings between two ontologies, so-called ontology matching. Recently, Swarm Intelligent Algorithm (SIA) becomes the suitable methodology to determine the ontology alignment. Being inspired by the succeed of Firefly Algorithm (FA) in many domains, in this paper, a Compact co-Firefly Algorithm (CCFA) is proposed to optimize the ontology alignment. The experiment uses the benchmark of Ontology Alignment Evaluation Initiative (OAEI), and the statistical comparing results show that CCFA-based matcher significantly outperforms other SIA-based matchers in terms of recall, precision and f-measure at 5% significance level.
引用
收藏
页码:2633 / 2636
页数:4
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