Abstract
An Ontology-based Decision Support System for Multi-objective Prediction Tasks
Highlights
In the educational field, student can be described over different information that changes over time and which constantly evolves
The implementation process of the generic student model ontology (GSMonto) ontology is accomplished with the aid of Protégé tool, which is a free and open source ontology editor for building intelligent systems
The authors were able to bring together the benefits of standardization of the concepts provided by the ontology with the benefits of machine learning techniques to meet several predictive tasks
Summary
Student can be described over different information that changes over time and which constantly evolves. Machine learning-based systems are used to design complex models and algorithms that lend themselves to prediction or decision support These models allow researchers, scientists, engineers and analysts to “produce reliable and repeatable decisions and results” and to uncover “hidden information” by taking advantage of historical relationships and trends in data. To learn, these systems receive huge amounts of data, which they use to learn how to perform a specific task. The definition of ontologies is inherited from a philosophical tradition which is concerned with the science of “Being” Today, it means the "science of beings" that is to say the set of objects recognized as existing in a domain. Among the constraints of the use of ontologies is their creation difficulty as well as the visualization limits and the difficulty of finding ready-made ontologies to meet user needs
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