Querying and Semantic Mapping Approaches for Semantic Resolution in E-Learning System

Abstract

Selecting appropriate learning services for a learner from a large number of heterogeneous knowledge sources is a complex and challenging task. This research will illustrate and discuss how semantic Web technologies and ontology can be applied to e-learning systems to help the learner in selecting an appropriate learning course or retrieving relevant information. It will present the main features of an e-learning scenario and the ontology on which it is based, and then illustrates the scenario ontology with the training domain and the application domain. Finally, it will present semantic querying and semantic mapping approaches as one process to solve the problem of the semantic resolution in an e-learning system.