188/4 E-Commerce Group
Institute of Software Technology and Interactive Systems
Vienna University of Technology
Favoritenstrasse 9-11/188, A-1040 Vienna, Austria

TechScreen: Mining Competencies in Social Software

Authors: 
J. Dorn, M Hochmeister
Publisher: 
International Institute of Informatics and Systemics
Proceedings: 
The 13th World Multi-Conference on Systemics, Cybernetics and Informatics
Pages: 
115 - 126
Year: 
2009
Type: 
Proceedings contribution
Hidden Keywords: 
Department Focus: 
Business Informatics
TU Focus: 
Information and Communication Technology
ISBN: 
ISBN: 1-934272-57-4
Abstract: 
This paper describes an approach to mine for competencies of users´ in a social software system. The system supports knowl¬edge sharing in a structured way supported by social tagging and an ontology. This meta-data is used to find relevant knowl¬edge sources, cluster these resources and to recommend certain resources to users. Our research assumption is, that if a user enters knowledge about a certain domain, s/he is in a certain degree competent in this area. In our experiment we generate competence profiles of users and compare it with a competence profile obtained by a self-assessment of users. In this paper we describe the performed experiments at the university where students and university staff use the system to share knowledge.
Abstract German: