OntoSIDES: Ontology-based student progress monitoring on the national evaluation system of French Medical Schools
Abstract
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.
Domains
Artificial Intelligence [cs.AI]Origin | Files produced by the author(s) |
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