SWeMoF: A semantic framework to discover patterns in learning networks

Marco Kalz, Niels Beekman, Anton Karsten, Diederik Oudshoorn, Peter Van Rosmalen, Jan Van Bruggen, Rob Koper

    Research output: Contribution to conferencePaperAcademic

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    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.
    Original languageEnglish
    Publication statusPublished - 7 Aug 2009

    Keywords

    • LTfLL
    • weblogs
    • social software
    • text mining
    • data mining
    • rss
    • lsa

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