Skip to Main Content
The paper presents initial ideas and architecture for harvesting learning contents available on the web, with intention to support more qualitative usage and reusability of learning resources. Commonly-known web technologies are considered as good instruments to be used for harvesting and mining embedded metadata. Metadata harvesting/mining through different learning resources is by its nature distributed, and represents a good basis for employing agent technology. Based on previously implemented agent architectures at our university and extensive usage of e-learning tools we propose agent architecture for metadata harvesting in the context of learning resources.
Date of Conference: 14-16 Oct. 2011