Diploma and Master Theses (authored and supervised):
"Mechanismen und Methoden für die Generierung und Klassifizierung von User Generated Content";
Supervisor: S. Dustdar, M. Treiber;
Institut für Informationssysteme, AB Verteilte Systeme,
This master thesis focuses on the mechanism and methods for generating and classifying user generated content. First of all different semantic approaches like semantic web, ontologies, topic maps and tags were analysed in detail. In this context, a comparison of Evernote, Delicious, Fickr, Picasa, Zootool and Mister Wong was performed to show their strenghts and weaknesses. After gathering these informations a prototype (Web Content Maps), which is based on folksonomies was developed. The collection of different tags are
namend ´Folksonomies´. In this thesis one whole chapter focuses on the different kinds of folksonomies, broad and narrow folksonomies and their advantages and disadvantages. Additionaly, attention to the phenomenon of the long tail curve at the assignment of tags in the
broad folksonomy will be drawn. An analysis for information retrieval with the FolkRankalgorithm, which is a customised PageRank-algorithm was done. Whereas the criteria tags, collaboration and prosumer determine the importance of a resource in a folksonomy. Additionally,
the same procedure was made for retrieval tools like Paper.li, Flipboard, Tweeted Times and Journal+. For a better understanding of the process of tagging it will be explained in further detail
with an expample, which starts from brainstorming to finally adding the tag. Additionally, the different types of motivation of the user will be shown. As mentioned above a prototype was developed, which includes a tagging system and a information retrieval tool. For the tagging procedure a Google Chrome Extension was created. A dynamic webpage, which was developed with PHP enables the information
retrieval. Furthermore the implementation will be explained from the point of view of the developer and also of the user. Finally, in a forecast new approaches are shown which should eliminate the disadvantages of folksonomies.
Created from the Publication Database of the Vienna University of Technology.