Title
A Topic Extraction Process for Online Forums.
Abstract
Forums play a key role in the process of knowledge creation, providing means for users to exchange ideas and to collaborate. However, educational forums, along several others online educational environments, often suffer from topic disruption. Since the contents are mainly produced by participants (in our case learners), one or a few individuals might change the course of the discussions. Thus, realigning the discussed topics of a forum thread is a task often conducted by a tutor or moderator. In order to support learners and tutors to harmonically align forum discussions that are pertinent to a given lecture or course, in this paper, we present a method that combines semantic technologies and a statistical method to find and expose relevant topics to be discussed in online discussion forums.
Year
DOI
Venue
2014
10.1109/ICALT.2014.158
ICALT
Keywords
Field
DocType
groupware,collaboration,semantic technologies,internet,instruction sets,semantics,statistical analysis,informatics
Moderation,TUTOR,Semantic technology,World Wide Web,Computer science,Knowledge management,Knowledge creation,Online discussion,Multimedia,Semantics
Conference
ISSN
Citations 
PageRank 
2161-3761
3
0.50
References 
Authors
0
6