Natural ontologies with elastic matching for elicited knowledge comparison
Hiram Calvo, Jesus Figueroa-Nazuno, Ángel Mandujano · Journal of Intelligent & Fuzzy Systems · 2020
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 Fréchet 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.