IEEE Computer Graphics and Applications
Evaluating CSCL log files by social network analysis
CSCL '99 Proceedings of the 1999 conference on Computer support for collaborative learning
Semantically-Aided Data-Aware Service Workflow Composition
SOFSEM '09 Proceedings of the 35th Conference on Current Trends in Theory and Practice of Computer Science
CSCL'09 Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1
A functional model for data analysis
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
OLAP technology for business process intelligence: challenges and solutions
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
A model for analyzing and visualizing tabular data
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
The use of event logs for collaborative practices reflection
International Journal of Intelligent Information and Database Systems
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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.