Santos SR, Sánchez MM

Language: Spanish
References: 25
Page: 82-88
PDF size: 350.69 Kb.

ABSTRACT

Ontologies are tools that describe knowledge domains, considering the concepts and relationships among them, as well as their limits. They provide an abstract representation of a field of knowledge, that can be understood by humans and digital devices. As complex systems that posit the terms used by an academic community to define and describe a topic, they facilitate search, recovery, visualization and analysis of knowledge domains, including health professions education. The goal of this paper is to discuss the relevance of these tools for scientific disciplines, to provide an overview of the design, development and construction of ontologies, and to analyze the challenges and difficulties in their definition and classification.

REFERENCES

1. Cabero-Almenara J, Meza-Cano JM. Online undergraduate students’ perceptions of the impact of Web 2.0 on higher education / Percepciones de estudiantes de licenciatura en línea sobre el impacto de la Web 2.0 en educación superior. Culture and Education, 2019; 31(3):481-508. https://doi.org/10.1080/11356405.2019.1630953

2. García Jiménez A. Instrumentos de representación del conocimiento: tesauros versus ontologías. An. Documentación [Internet]. 1 de enero de 2004 [citado 8 de diciembre de 2022];7:79-95. Disponible en: https://revistas.um.es/analesdoc/article/view/1691

3. Hassan Montero, Yusef; Núnez Peña A. Diseño de Arquitecturas de Información: Descripción y Clasificación. No Solo Usabilidad [Internet]. 2005;(4). Disponible en: http://www.nosolousabilidad.com/articulos/descripcion_y_clasificacion.htm

4. Barité Roqueta MG. El control de vocabulario en la era digital: revisión conceptual. Scire [Internet]. 2014;20(1):99-108. Disponible en: http://ibersid.eu/ojs/index.php/scire/article/view/4196/3766

5. Laguens García JL. Tesauros y lenguajes controlados en Internet. An Doc [Internet]. 2006;(9):105-21. Disponible en: http://eprints.rclis.org/12079/1/ad0907.pdf

6. Currás E. Ontologías, taxonomía y tesauros: manual de construcción y uso. tercera re. El Profesional de la Informacion. España: Trea Ediciones; 2006. 344 p.

7. Yalcinalp S, Gulbahar Y. Ontology and taxonomy design and development for personalised web-based learning systems. Br J Educ Technol. 2010;41(6):883-96. https://doi.org/10.1111/j.1467-8535.2009.01049.x

8. Stancin K, Poscic P, Jaksic D. Ontologies in education – state of the art. Educ Inf Technol. 2020;25(6):5301-20. https://doi.org/10.1007/s10639-020-10226-z

9. Neches R, Fikes RE, Finin T, Gruber T, Patil R, Senator T, et al. Enabling technology for knowledge sharing. AI Mag. 1991;12(3):36.

10. Gruber TR. A translation approach to portable ontology specifications. Knowl Acquis. 1993;5(2):199-220.

11. Barchini GE, Álvarez MM. Dimensiones e indicadores de la calidad de una ontología. Av en Sist e Informática. 2010; 7(1):29-38.

12. Rosell León Y, Senso Ruiz JA, Leiva Mederos AA. Diseño de una ontología para la gestión de datos heterogéneos en universidades: marco metodológico. Rev Cuba Inf en Ciencias la Salud. 2016;27(4):545-67. Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S2307-21132016000400010

13. Tabares Morales V, Duque Méndez ND, Ovalle Carranza DA. Modelo por capas para evaluación de la calidad de Objetos de Aprendizaje en repositorios. Rev Electrónica Investig Educ. 2017;19(3):33-48. Disponible en: https://redie.uabc.mx/redie/article/view/1128/1561

14. Guarino N. Formal ontology and information systems, Formal Ontology in Information Systems. Proceedings of the First International Conference (FOIS’98), 1998. pp. 3-15.

15. Tabares García JJ, Jiménez Builes JA. Ontology for the evaluation process in higher education. Rev Virtual Univ Católica del Norte. 2014;(42):68-79.

16. Corcho O, Fernández-López M, Gómez-Pérez A, López-Cima A. Building legal ontologies with METHONTOLOGY and WebODE. In: Lecture Notes in Computer Science. Springer Verlag; 2005. p. 142–57. Disponible en: https://link.springer.com/chapter/10.1007/978-3-540-32253-5_9

17. Noy NF, Mcguinness DL. Ontology Development 101: A Guide to Creating Your First Ontology. 2018. Disponible en: https://protege.stanford.edu/publications/ontology_development/ontology101.pdf

18. Guzmán JA, López M, Durley I. Metodologías y métodos para la construcción de ontologías. Sci Tech. 2012;XVII(50):133-40.

19. Yu AC. Methods in biomedical ontology. J Biomed Inform. 2006;39(3):252-66.

20. Paneque M, Roldán-García M del M, García-Nieto J. e-LION: Data integration semantic model to enhance predictive analytics in e-Learning. Expert Syst Appl. 2023; 213:118892.

21. Nahhas S, Bamasag O, Khemakhem M, Bajnaid N. Bridging Education and Labor Skills by a Novel Competency-Based Course Linked-Data Model. IEEE Access. 2019; 7:119087-98.

22. Romero L, Gutierrez M, Caliusco M. Educational metadata ontology enrichment for e-assessment semantic description. Towards question and test interoperability and reuse. En: 2015 10th Iberian Conference on Information Systems and Technologies (CISTI). 2015.1-6.

23. Panahiazar M, Chern Y, Riojas R, Latif OS, Lokala U, Hadley D, et al. An Ontology for Cardiothoracic Surgical Education and Clinical Data Analytics. Stud Health Technol Inform. 2022; 294:407-8.

24. Baghernezhad-Tabasi S, Druette L, Jouanot F, Meurger C, Rousset MC. OntoSAMSEI: Interactive ontology engineering for supporting simulation-based training in Medicine. En: 2021 IEEE 30th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE). 2021.177-82.

25. Radovic M, Petrovic N, Tosic M. Ontology-Based Generation of Multilingual Questions for Assessment in Medical Education. Vol. 8, Journal of Teaching English for Specific and Academic Purposes. 2020; 8:1-15.