DocumentCode :
239120
Title :
Applying evolutionary computation for evolving ontologies
Author :
Matei, Oliviu ; Contras, Diana ; Pop, Paul
Author_Institution :
North Univ. Center of Baia Mare, Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
1520
Lastpage :
1527
Abstract :
In this paper, we describe a novel application of evolutionary computation, namely for evolving ontologies. The general algorithm of evolutionary ontologies follow roughly the same guidelines as any other genetic algorithms. However, we introduced a new genetic operator, called repair, which is needed in order to make the offspring viable. Experiments for the generation of user centered automatically generated scenes demonstrate the performance of the proposed approach.
Keywords :
genetic algorithms; mathematical operators; ontologies (artificial intelligence); evolutionary computation; evolutionary ontologies; genetic algorithms; genetic operator; repair; user centered automatically generated scenes; Evolution (biology); Evolutionary computation; Genetic algorithms; Genetics; Ontologies; Sociology; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6626-4
Type :
conf
DOI :
10.1109/CEC.2014.6900499
Filename :
6900499
Link To Document :
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