An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education

Roberto García-Vélez, Jorge Galan-Mena, Vladmir Robles-Bykbaev, Martin López-Nores, Fernando Pesántes-Avilés, Daniel Calle-López

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferenciaInvestigación

Idioma originalInglés estadounidense
Título de la publicación alojadaAn academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education
Páginas316-328
Número de páginas13
ISBN (versión digital)9783319938813
DOI
EstadoPublicada - 1 ene 2019
EventoAdvances in Intelligent Systems and Computing -
Duración: 1 ene 2019 → …

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen785
ISSN (versión impresa)2194-5357

Conferencia

ConferenciaAdvances in Intelligent Systems and Computing
Período1/01/19 → …

Huella dactilar

Curricula
Ontology
Macros
Education
Students
Reengineering
Ecosystems

Citar esto

García-Vélez, R., Galan-Mena, J., Robles-Bykbaev, V., López-Nores, M., Pesántes-Avilés, F., & Calle-López, D. (2019). An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education. En An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education (pp. 316-328). (Advances in Intelligent Systems and Computing; Vol. 785). https://doi.org/10.1007/978-3-319-93882-0_31
García-Vélez, Roberto ; Galan-Mena, Jorge ; Robles-Bykbaev, Vladmir ; López-Nores, Martin ; Pesántes-Avilés, Fernando ; Calle-López, Daniel. / An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education. An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education. 2019. pp. 316-328 (Advances in Intelligent Systems and Computing).
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García-Vélez, R, Galan-Mena, J, Robles-Bykbaev, V, López-Nores, M, Pesántes-Avilés, F & Calle-López, D 2019, An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education. En An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education. Advances in Intelligent Systems and Computing, vol. 785, pp. 316-328, 1/01/19. https://doi.org/10.1007/978-3-319-93882-0_31

An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education. / García-Vélez, Roberto; Galan-Mena, Jorge; Robles-Bykbaev, Vladmir; López-Nores, Martin; Pesántes-Avilés, Fernando; Calle-López, Daniel.

An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education. 2019. p. 316-328 (Advances in Intelligent Systems and Computing; Vol. 785).

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferenciaInvestigación

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T1 - An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education

AU - García-Vélez, Roberto

AU - Galan-Mena, Jorge

AU - Robles-Bykbaev, Vladmir

AU - López-Nores, Martin

AU - Pesántes-Avilés, Fernando

AU - Calle-López, Daniel

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DO - 10.1007/978-3-319-93882-0_31

M3 - Conference contribution

SN - 9783319938813

T3 - Advances in Intelligent Systems and Computing

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García-Vélez R, Galan-Mena J, Robles-Bykbaev V, López-Nores M, Pesántes-Avilés F, Calle-López D. An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education. En An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education. 2019. p. 316-328. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-93882-0_31