Automatic detection of accommodation steps as an indicator of knowledge maturing

Johannes Moskaliuk, Andreas Rath, Didier Devaurs, Nicolas Weber, Stefanie Lindstaedt, Joachim Kimmerle, Ulrike Cress

    Research output: Contribution to journalArticle

    Abstract

    Jointly working on shared digital artifacts – such as wikis – is a well-tried method of developing knowledge collectively within a group or organization. Our assumption is that such knowledge maturing is an accommodation process that can be measured by taking the writing process itself into account. This paper describes the development of a tool that detects accommodation automatically with the help of machine learning algorithms. We applied a software framework for task detection to the automatic identification of accommodation processes within a wiki. To set up the learning algorithms and test its performance, we conducted an empirical study, in which participants had to contribute to a wiki and, at the same time, identify their own tasks. Two domain experts evaluated the participants’ micro-tasks with regard to accommodation. We then applied an ontology-based task detection approach that identified accommodation with a rate of 79.12%. The potential use of our tool for measuring knowledge maturing online is discussed.
    Original languageEnglish
    Pages (from-to)247-255
    JournalInteracting with Computers
    Volume23
    Issue number3
    DOIs
    Publication statusPublished - 2011

    Fields of Expertise

    • Information, Communication & Computing

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