Ontology-based feedback on model quality. DynaLearn, EC FP7 STREP project 231526, Deliverable D4.2

This document describes the Ontology-Based Feedback process addressed to improve the quality of the models developed by learners. The core idea is to compare the knowledge contained in a learner model with the knowledge contained in a reference model (made by an expert) in order to get feedback on the quality of the former one. This is carried out by measuring how similar/dissimilar both models are and by identifying the ingredients and structures in which they differ. This information is used to construct suggestions of improvements which are shown to the user during the modelling process.
Comparisons are performed by using ontology matching techniques, which allow the alignment between learner and reference models. Some additional techniques are also applied, like semantic reasoning and model structure comparison, thus allowing a richer analysis of the different knowledge contained in the compared models and leading to the generation of different types of feedback.