TY - JOUR
T1 - Similarity detection among academic contents through semantic technologies and text mining
AU - Saquicela, Victor
AU - Baculima, Fernando
AU - Orellana, Gerardo
AU - Piedra, Nelson
AU - Orellana, Marcos
AU - Espinoza, Mauricio
N1 - Publisher Copyright:
© 2018 CEUR-WS. All rights reserved.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Higher Education
KW - Ontologies
KW - Semantic Web
KW - Text Mining
UR - https://www.scopus.com/pages/publications/85047896817
M3 - Artículo de la conferencia
AN - SCOPUS:85047896817
SN - 1613-0073
VL - 2096
SP - 1
EP - 12
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 3rd International Workshop on Semantic Web, IWSW 2018
Y2 - 7 March 2018
ER -