IKHarvester - Informal eLearning with semantic web harvesting

Only recently, researchers and practitioners alike have begun to fully understand the potential of eLearning and have concentrated on new tools and technologies for creating, capturing and distributing knowledge. In order to support and extend those solutions we propose the idea of incorporating the informal knowledge into Learning Management Systems. Contributing to the body of research, problems of existing eLearning technologies are documented highlighting areas of definite improvement. Finally, semantic Web harvesting technology as a solution is explored in the form of the knowledge acquisition tool called IKHarvester

Elearning on the social semantic information sources

Abstract. E-Learning grows on the fertile soil of the Internet technologies; it fails, however, to reach their full potential. With new, emerging technologies of the second generation Internet there is even more to be captured and adopted: knowledge sharing with blogs, wikis, and social bookmarking services. In this article we argue that those technologies can be adapted to improve user experience in e-Learning; we present an online social bookmarking system called social semantic collaborative filtering. SSCF supports SIOC metadata which ultimately transforms it in to a browser of blogs, fora, and other community sites. We show how a digital library system, such as JeromeDL, utilizing this technology can be used in the e-Learning process, which takes advantage of recent research in the Internet.

IKHarvester - Informal eLearning with semantic web harvesting

Only recently, researchers and practitioners alike have begun to fully understand the potential of eLearning and have concentrated on new tools and technologies for creating, capturing and distributing knowledge. In order to support and extend those solutions we propose the idea of incorporating the informal knowledge into Learning Management Systems. Contributing to the body of research, problems of existing eLearning technologies are documented highlighting areas of definite improvement. Finally, semantic Web harvesting technology as a solution is explored in the form of the knowledge acquisition tool called IKHarvester