Abstract
This paper presents specialized methods for analyzing knowledge creation processes and knowledge practices that are (at least partially) projected in work within a virtual collaborative environment. Support for such analysis and evaluation of knowledge creation processes is provided by historical data stored in a virtual working environment, and describes various aspects of the monitored processes (e.g. semantic information, content, log of activities, etc.). The proposed analytical methods cover different types of analysis, such as (a) statistic analysis, that provides information about processes, and the possibility to visualize such information based on user-selected presentation modes; (b) time-line based analysis that supports visualization of the real process execution with all relevant information, including the possibility to identify and further analyze working patterns in knowledge creation processes (projection of knowledge practices). Experimental evaluation of the proposed methods is carried out within the IST EU project called KP-Lab.
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Paralič, J., Babič, F., Wagner, J., Simonenko, E., Spyratos, N., Sugibuchi, T. (2009). Analyses of Knowledge Creation Processes Based on Different Types of Monitored Data. In: Rauch, J., Raś, Z.W., Berka, P., Elomaa, T. (eds) Foundations of Intelligent Systems. ISMIS 2009. Lecture Notes in Computer Science(), vol 5722. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04125-9_35
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DOI: https://doi.org/10.1007/978-3-642-04125-9_35
Publisher Name: Springer, Berlin, Heidelberg
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