OntoSIDES: Ontology-based student progress monitoring on the national evaluation system of French Medical Schools.
Learning Management System (LMS)
Medicine
Ontologies
RDF
Rules
SPARQL
e-Learning
Journal
Artificial intelligence in medicine
ISSN: 1873-2860
Titre abrégé: Artif Intell Med
Pays: Netherlands
ID NLM: 8915031
Informations de publication
Date de publication:
05 2019
05 2019
Historique:
received:
01
03
2018
revised:
04
02
2019
accepted:
17
03
2019
entrez:
6
6
2019
pubmed:
6
6
2019
medline:
28
4
2020
Statut:
ppublish
Résumé
We introduce OntoSIDES, the core of an ontology-based learning management system in Medicine, in which the educational content, the traces of students' activities and the correction of exams are linked and related to items of an official reference program in a unified RDF data model. OntoSIDES is an RDF knowledge base comprised of a lightweight domain ontology that serves as a pivot high-level vocabulary of the query interface with users, and of a dataset made of factual statements relating individual entities to classes and properties of the ontology. Thanks to an automatic mapping-based data materialization and rule-based data saturation, OntoSIDES contains around 8 millions triples to date, and provides an integrated access to useful information for student progress monitoring, using a powerful query language (namely SPARQL) allowing users to express their specific needs of data exploration and analysis. Since we do not expect end-users to master the raw syntax of SPARQL and to express directly complex queries in SPARQL, we have designed a set of parametrized queries that users can instantiate through a user-friendly interface.
Identifiants
pubmed: 31164211
pii: S0933-3657(18)30129-5
doi: 10.1016/j.artmed.2019.03.006
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
59-67Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.