A Compact co-Firefly Algorithm for Matching Ontologies
Xingsi Xue, Junfeng Chen · 2019
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.