Automatic detection of accommodation steps as an indicator of knowledge maturing
Author(s) -
Johannes Moskaliuk,
Andreas Rath,
Didier Devaurs,
Nicolas Weber,
Stefanie Lindstaedt,
Joachim Kimmerle,
Ulrike Creß
Publication year - 2011
Publication title -
interacting with computers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.328
H-Index - 82
eISSN - 1873-7951
pISSN - 0953-5438
DOI - 10.1016/j.intcom.2011.03.006
Subject(s) - center (category theory) , library science , humanities , art , art history , computer science , chemistry , crystallography
International audienceJointly 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
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