Simulations and the Future of Learning: An Innovative (and Perhaps Revolutionary) Approach to e-Learning
Meta-information for multimedia elearning
Computer Science in Perspective
Named graphs, provenance and trust
WWW '05 Proceedings of the 14th international conference on World Wide Web
Training for Crisis Decision-Making: Psychological Issues and Computer-Based Solutions
Journal of Management Information Systems
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
Semantic Technologies for Learning and Teaching in the Web 2.0 Era
IEEE Intelligent Systems
The Open Provenance Model core specification (v1.1)
Future Generation Computer Systems
An ontological formulation and an OPM profile for causality in planning applications
JIST'11 Proceedings of the 2011 joint international conference on The Semantic Web
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Simulation Learning is a frequent practice to conduct near-real, immersive and engaging training sessions. AI Planning and Scheduling systems are used to automatically create and supervise learning sessions; to this end, they need to manage a large amount of knowledge about the simulated situation, the learning objectives, the participants' behaviour, etc. In this paper, we explain how Linked Data and Semantic Web technologies can help the creation and management of knowledge bases for Simulation Learning. We also present our experience in building such a knowledge base in the context of Crisis Management Training.