Author:
Ferranti Nicolas,Rosário Furtado Soares Stênio Sã,de Souza Jairo Francisco
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference94 articles.
1. A comparison of multi-objective evolutionary algorithms for the ontology meta-matching problem;Acampora,2014
2. Acampora, G., Kaymak, U., Loia, V. & Vitiello, A. (2013a). Applying NSGA-II for solving the ontology alignment problem. In 2013 IEEE international conference on systems, man, and cybernetics (SMC) (pp. 1098–1103). IEEE.
3. A fml-based fuzzy tuning for a memetic ontology alignment system;Acampora,2013
4. Enhancing ontology alignment through a memetic aggregation of similarity measures;Acampora;Information Sciences,2013
5. A study on local search meta-heuristics for ontology alignment;Acampora,2020
Cited by
19 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献