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Onto4AIR2: An ontology to manage theses from open repositories.

Authors :
Medina Nieto, María Auxilio
de la Calleja Mora, Jorge
Zepeda Cortés, Claudia
López Domínguez, Eduardo
Pinto, David
Beltrán, Beatriz
Singh, Vivek
Source :
Journal of Intelligent & Fuzzy Systems; 2022, Vol. 42 Issue 5, p4503-4512, 10p
Publication Year :
2022

Abstract

This paper describes Onto4AIR2, an ontology to manage theses from open repositories, this fosters unique and formal definitions of concepts from the Mexican repositories domain in English and Spanish languages, its goal is to support the construction of machine-readable datasets that are semantically labeled for further consultations in educational organizations. The ontology instances are sample data of theses from the National Repository of Mexico, an initiative promoted by the National Council of Science and Technology. The paper describes advantages derived from the formalisms of the ontology, and describes an assessment technique where participants are developers and potential users. Developers followed a competency questions-based approach and determined that the ontology represents questions and answers using its terminology; whereas potential users participated in a satisfaction survey; the results showed a positive perception. At present, the level of the ontology is proof of concept. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10641246
Volume :
42
Issue :
5
Database :
Complementary Index
Journal :
Journal of Intelligent & Fuzzy Systems
Publication Type :
Academic Journal
Accession number :
156139432
Full Text :
https://doi.org/10.3233/JIFS-219239