A novel method for semantic indexing of e-education resources

Nowadays, the sharing of e-education resources has become a big concern, as it helps to save manpower, physical resources, time and space. In this paper, a novel method is proposed for semantically indexing the huge amount of resources that are integrated together by an e-education resources sharing platform. The platform system architecture is illustrated, and an ontology is created to provide a unified way to describe the resources. The ontology inference is performed by applying a reasoner and setting several rules to extract implicit information from the explicit data for more accurate and comprehensive description.