Paper Info
Title
Combining structural, process-oriented and textual elements to generate awareness indicators for graphical e-discussions
Abstract
Moderation of e-discussions can be facilitated by online feedback promoting awareness and understanding of the ongoing discussion. Such feedback may be based on indicators, which combine structural and process-oriented elements (e.g., types of connectors, user actions) with textual elements (discussion content). In the ARGUNAUT project (IST-2005027728, partially funded by the EC, started 12/2005) we explore two main directions for generating such indicators, in the context of a synchronous tool for graphical e-discussion. One direction is the training of machine-learning classifiers to classify discussion units (shapes and paired-shapes) into pre-defined theoretical categories, using structural and process-oriented attributes. The classifiers are trained with examples categorized by humans, based on content and some contextual cues. A second direction is the use of a pattern matching tool in conjunction with e-discussion XML log files to generate "rules" that find "patterns" combining user actions (e.g., create shape, delete link) and structural elements with content keywords.
Year
Venue
Field
2007
CSCL
Moderation,XML,Computer science,Multimedia,Pattern matching
DocType
Citations 
PageRank 
Conference
5
0.55
References 
Authors
4
7
Name
Order
Citations
PageRank
Rakheli Hever1705.69
Reuma De Groot2918.28
Maarten de Laat330532.79
Andreas Harrer448265.16
Ulrich Hoppe5322.47
Bruce M. Mclaren61110114.30
Oliver Scheuer723721.82