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