@conference{7673d6fc840143a2a77abb24f847ac67,
title = "SWeMoF: A semantic framework to discover patterns in learning networks",
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.",
keywords = "LTfLL, weblogs, social software, text mining, data mining, rss, lsa",
author = "Marco Kalz and Niels Beekman and Anton Karsten and Diederik Oudshoorn and \{Van Rosmalen\}, Peter and \{Van Bruggen\}, Jan and Rob Koper",
note = "DS\_Description: Kalz, M., Beekman, N., Karsten, A., Oudshoorn, D., Van Rosmalen, P., Van Bruggen, J., \& Koper, R. (2009). SWeMoF: A semantic framework to discover patterns in learning networks. In U. Cress, V. Dimitrova \& M. Specht (Eds.), Learning in the Synergy of Multiple Disciplines. Proceedings of the Fourth European Conference on Technology-Enhanced Learning (EC-TEL 2009) (pp. 160-165). September, 29 - October, 2, 2009, Nice, France. Lecture Notes in Computer Science Vol. 5794. Berlin: Springer-Verlag. DS\_Sponsorship:The work on this publication has been sponsored by the TENCompetence Integrated Project that is funded by the European Commission's 6th Framework Programme, priority IST/Technology Enhanced Learning. Contract 027087 [http://www.tencompetence.org]",
year = "2009",
month = aug,
day = "7",
language = "English",
}