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

Proceedings contribution
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.
Hidden Keywords: 
Department Focus: 
(Business Informatics)
TU Focus: 
Information and Communication Technology
The 13th World Multi-Conference on Systemics, Cybernetics and Informatics
International Institute of Informatics and Systemics
ISBN: 1-934272-57-4
115 - 126
Acceptance undecided
J. Dorn, M Hochmeister: <br>"<i><a href="http://publik.tuwien.ac.at/files/PubDat_184097.pdf" target="_blank" class="publist">TechScreen: Mining Competencies in Social Software</a></i>"; <br>in: "<i>The 13th World Multi-Conference on Systemics, Cybernetics and Informatics</i>", International Institute of Informatics and Systemics, Orlando, FLA, 2009, ISBN: 1-934272-57-4, 115 - 126.<br><br> <a href="https://publik.tuwien.ac.at/showentry.php?ID=184097&lang=2" class="publist"><i>More information</i></a><br><br>
Abstract German: