Similarity detection among academic contents through semantic technologies and text mining

Saquicela Galarza, Victor Hugo; Baculima Cumbe, John Fernando; Orellana Flores, Gerardo Enrique; Baculima Piedra, Nelson Xavier; Orellana Campoverde, Marcos Eugenio

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Título :	Similarity detection among academic contents through semantic technologies and text mining
Autor:	Saquicela Galarza, Victor Hugo Baculima Cumbe, John Fernando Orellana Flores, Gerardo Enrique Baculima Piedra, Nelson Xavier Orellana Campoverde, Marcos Eugenio
Correspondencia:	Saquicela Galarza, Victor Hugo, victor.saquicela@ucuenca.edu.ec Baculima Cumbe, John Fernando, fernando.baculima@ucuenca.edu.ec Orellana Flores, Gerardo Enrique, gorellana@uazuay.edu.ec Baculima Piedra, Nelson Xavier, nopiedra@utpl.edu.ec Orellana Campoverde, Marcos Eugenio, marore@uazuay.edu.ec
Palabras clave :	Higher Education Ontologies Semantic Web Text Mining
Área de conocimiento FRASCATI amplio:	2. INGENIERIA Y TECNOLOGIA
Área de conocimiento FRASCATI detallado:	2.2.4 INGENIERIA DE LA COMUNICACION Y DE SISTEMAS
Área de conocimiento FRASCATI específico:	2.2 INGENIERIAS ELECTRICA, ELECTRONICA E INFORMACION
Área de conocimiento UNESCO amplio:	06 - INFORMACION Y COMUNICACION (TIC)
ÁArea de conocimiento UNESCO detallado:	0612 - BASE DE DATOS, DISENO Y ADMINISTRACION DE REDES
Área de conocimiento UNESCO específico:	061 - INFORMACION Y COMUNICACION (TIC)
Fecha de publicación :	2018
Volumen:	volumen 2096
Fuente:	CEUR Workshop Proceedings
metadata.dc.identifier.doi:
Editor:	University of Informatics Sciences
Ciudad:	Habana
Tipo:	ARTÍCULO DE CONFERENCIA
Abstract:	Abstract View references (46) Nowadays, the information of university courses is managed by means of syllabus based systems, this is the case of Ecuadorian Higher Education Institutions (IES for its Spanish acronym). However, the syllabus structure is not normalized among all universities, since there is a wide variety of formats and data models used for each IES which naturally, affects academic processes such as the students mobility or credits validation between IES. We have addressed these issues by presenting a proposal based on semantic technologies and text mining methods whose goal is to identify similarities among academic contents. © 2018 CEUR-WS. All rights reserved.
Resumen :	Abstract View references (46) Nowadays, the information of university courses is managed by means of syllabus based systems, this is the case of Ecuadorian Higher Education Institutions (IES for its Spanish acronym). However, the syllabus structure is not normalized among all universities, since there is a wide variety of formats and data models used for each IES which naturally, affects academic processes such as the students mobility or credits validation between IES. We have addressed these issues by presenting a proposal based on semantic technologies and text mining methods whose goal is to identify similarities among academic contents. © 2018 CEUR-WS. All rights reserved.
URI :	http://dspace.ucuenca.edu.ec/handle/123456789/31417 https://www.scopus.com/record/display.uri?eid=2-s2.0-85047896817&origin=inward&txGid=5d8afa04a8f4c94799fc7dc218f37d79
URI Fuente:	http://iwsw2018.blogspot.com/
ISBN :	978-331926283-3
ISSN :	1613-0073
Aparece en las colecciones:	Artículos

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