Paper Info
Title
Analyses of Knowledge Creation Processes Based on Different Types of Monitored Data
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.
Year
DOI
Venue
2009
10.1007/978-3-642-04125-9_35
ISMIS
Keywords
Field
DocType
statistic analysis,virtual collaborative environment,experimental evaluation,different types,knowledge practice,proposed analytical method,monitored data,knowledge creation,relevant information,knowledge creation process,semantic information,virtual working environment,visual analysis,statistical analysis
Data science,Data mining,Statistic,Computer science,Visualization,Semantic information,Knowledge creation,Knowledge extraction
Conference
Volume
ISSN
Citations 
5722
0302-9743
5
PageRank 
References 
Authors
0.52
12
6
Name
Order
Citations
PageRank
Ján Paralič171.64
Frantisek Babic2168.02
Jozef Wagner3133.20
Ekaterina Simonenko451.20
Nicolas Spyratos5736233.07
Tsuyoshi Sugibuchi6418.75