Natural ontologies with elastic matching for elicited knowledge comparison

Author:

Calvo Hiram1,Figueroa-Nazuno Jesús1,Mandujano Ángel1

Affiliation:

1. Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico City, Mexico

Abstract

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.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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