Publikation Nr. 902 - Details
SammelbandOpen Access · CCPeer ReviewEnglish
SWeMoF: A semantic framework to discover patterns in learning networks
Kalz, M., Beekman, N., Karsten, A., Oudshoorn, D., Rosmalen, P. v., Van Bruggen, J. & Koper, R. (2009). SWeMoF: A semantic framework to discover patterns in learning networks. In: Learning in the Synergy of Multiple Disciplines. Proceedings of the Fourth European Conference on Technology-Enhanced Learning (S. 160-165). Nice, France: Springer, Berlin, Heidelberg.
- Linkhdl.handle.net/1820/...
- ISBN978-3-642-04635-3
- StichworteLTfLL weblogs social software text mining data mining rss lsa
Abstract
In this contribution we introduce SWeMoF, a semantic framework to discover patterns in learning networks and the blogosphere. Based on a description of the state of the art in data mining, text mining and blog mining we discuss the architecture of the Semantic Weblog Monitoring Framework (SWeMoF) and provide an outlook and an evaluation perspective for future research and development.
