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

Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/31417

Title:	Similarity detection among academic contents through semantic technologies and text mining
Authors:	Saquicela Galarza, Victor Hugo Baculima Cumbe, John Fernando Orellana Flores, Gerardo Enrique Baculima Piedra, Nelson Xavier Orellana Campoverde, Marcos Eugenio
metadata.dc.ucuenca.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
Keywords:	Higher Education Ontologies Semantic Web Text Mining
metadata.dc.ucuenca.areaconocimientofrascatiamplio:	2. INGENIERIA Y TECNOLOGIA
metadata.dc.ucuenca.areaconocimientofrascatidetallado:	2.2.4 INGENIERIA DE LA COMUNICACION Y DE SISTEMAS
metadata.dc.ucuenca.areaconocimientofrascatiespecifico:	2.2 INGENIERIAS ELECTRICA, ELECTRONICA E INFORMACION
metadata.dc.ucuenca.areaconocimientounescoamplio:	06 - INFORMACION Y COMUNICACION (TIC)
metadata.dc.ucuenca.areaconocimientounescodetallado:	0612 - BASE DE DATOS, DISENO Y ADMINISTRACION DE REDES
metadata.dc.ucuenca.areaconocimientounescoespecifico:	061 - INFORMACION Y COMUNICACION (TIC)
Issue Date:	2018
metadata.dc.ucuenca.volumen:	volumen 2096
metadata.dc.source:	CEUR Workshop Proceedings
metadata.dc.identifier.doi:
Publisher:	University of Informatics Sciences
metadata.dc.description.city:	Habana
metadata.dc.type:	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.
Description:	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
metadata.dc.ucuenca.urifuente:	http://iwsw2018.blogspot.com/
ISBN:	978-331926283-3
ISSN:	1613-0073
Appears in Collections:	Artículos

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