Semantic representation of information by ontological networks to improve knowledge management in higher education

Roberto A. García-Vélez, Jorge Andrés Galán-Mena, Ahmed Dahroug, Vladimir E. Robles-Bykbaev, Martín López-Nores

Producción científica: Contribución a una conferenciaDocumento

Resumen

© 2018 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. Institutions of Higher Education (IHE) seek to respond to new ways of conceiving and projecting higher education embodied in the profile of a professional. Faced with this challenge, educational models focus mainly on the theoretical-practical references of critical training, constructivism and collaborative learning. Although there are several knowledge management solutions in the field of higher education, which have managed to formalize the organizational structure of academic institutions in ontologies, so far none of these proposals divides and makes explicit the development that the actors of the ecosystem (students and educators) take over time. Our proposal is to construct a semantic representation of the academic ecosystem by implementing an ontological network that allows managing the knowledge generated in a more efficient way. This architecture is intended to be used as an instrument to support the academic body and for the centralization of information. To achieve our objective, we carry out a reengineering process of relevant institutional documents, such as the academic record of the students, in each of their facets of learning. We have interviewed specialists in the area and reuse academic domain ontologies to form a consistent knowledge base.
Idioma originalInglés estadounidense
Páginas161-168
Número de páginas8
EstadoPublicada - 1 ene. 2018
EventoIC3K 2018 - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management -
Duración: 1 ene. 2018 → …

Conferencia

ConferenciaIC3K 2018 - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Período1/01/18 → …

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