Affiliations: [a] Postgraduate Department, Polytechnic University of Puebla, Puebla, Mexico
| [b] Faculty of Computer Science, Benemerita Universidad Autonoma de Puebla, Puebla, Mexico
| [c] Department of Computer Science, Laboratorio Nacional de Informática Avanzada (LANIA), Xalapa, Mexico
Correspondence:
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Corresponding author. María Auxilio Medina Nieto, Postgraduate Department, Polytechnic University of Puebla, Puebla, Mexico. E-mail: [email protected].
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.
Keywords: Semantic web, ontologies, machine readable datasets, open data repositories, metadata management
