Capturing the Semantics of Simulation Learning with Linked Data

Abstract

Knowledge-rich learning environments like simulation learning sessions call for the adoption of knowledge technologies to effectively manage information and data related to the learning supply and to the observation analysis. In this chapter, the authors illustrate the benefits and the challenges from the adoption of Linked Data and Semantic Web technologies to model, store, update, collect, and interpret learning data in simulation environments. The experience gained in applying this approach to a Simulation Learning system based on Serious Games proves the feasibility and the advantages of knowledge technologies in addressing and solving the issues faced by trainers and teachers in their daily practice.