Autores
Calvo Castro Francisco Hiram
Figueroa Nazuno Jesús Guillermo
Mandujano García Ángel Refugio
Título Natural ontologies with elastic matching for elicited knowledge comparison
Tipo Revista
Sub-tipo JCR
Descripción Journal of Intelligent & Fuzzy Systems
Resumen Natural Ontologies are presented in this work as a useful tool to model the way in which concepts are organized inside the human mind. In order to be compared, ontologies are represented as matrices and an elastic matching technique is used. For this purpose, a distance measure called Modern Frechet is proposed, which is an approximation to the NP-Complete problem of elastic matching between matrices. An applied case of study is presented in which human knowledge is compared among different groups of people in the Computer Science domain.
Observaciones DOI 10.3233/JIFS-179891
Lugar Amsterdam
País Paises Bajos
No. de páginas 2291-2303
Vol. / Cap. v. 39 no. 2
Inicio 2020-03-01
Fin
ISBN/ISSN