An Ontology-based Decision Support System for Multi-objective Prediction Tasks

Student profile modeling is a topic that continues to attract the interest of both academics and researchers because its crucial role in development predictive or decision support systems. It provides platforms build intelligent systems such as e-orientation, e-recruitment, recommendation, prediction The purpose this research propose an ontology-based system can be used for multi-objective tasks failure/abundance, orientation decision-making. Two major contributions are proposed here: new domain ontology models student based on perform multiple tasks. approach relies efficiency ensure semantic interoperability benefits machine learning techniques multipurpose objectives. uses Decision Tree algorithm (C5.0), but other added if they prove more efficient. Furthermore, performance developed method computed using metrics achieved 83.6% accuracy 81.9% recall.