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Publikation Nr. 902 - Details

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, 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.

Sammelband

URL: http://hdl.handle.net/1820/2003
ISBN: 978-3-642-04635-3

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.

Attribute

Sprache:
Art der Begutachtung:	Peer Review
Print:	Nein
Online:	Ja, mit Open Access und CC-Lizenz
Datenmedium:	Keine Angabe