TY  - JOUR
AU  - Benz, Dominik
AU  - Hotho, Andreas
AU  - Jäschke, Robert
AU  - Krause, Beate
AU  - Mitzlaff, Folke
AU  - Schmitz, Christoph
AU  - Stumme, Gerd
T1  - The Social Bookmark and Publication Management System BibSonomy
JO  - The VLDB Journal
PY  - 2010/12
VL  - 19
IS  - 6
SP  - 849
EP  - 875
UR  - http://www.kde.cs.uni-kassel.de/pub/pdf/benz2010social.pdf
M3  - 10.1007/s00778-010-0208-4
KW  - 2010
KW  - bibsonomy
KW  - myown
KW  - publication
KW  - social
KW  - system
KW  - tagging
KW  - taggingsurvey
KW  - vldb
L1  - 
SN  - 
N1  - 
N1  - 
AB  - Social resource sharing systems are central elements of the Web 2.0 and use the same kind of lightweight knowledge representation, called folksonomy. Their large user communities and ever-growing networks of user-generated content have made them an attractive object of investigation for researchers from different disciplines like Social Network Analysis, Data Mining, Information Retrieval or Knowledge Discovery. In this paper, we summarize and extend our work on different aspects of this branch of Web 2.0 research, demonstrated and evaluated within our own social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind. We structure this presentation along the different interaction phases of a user with our system, coupling the relevant research questions of each phase with the corresponding implementation issues. This approach reveals in a systematic fashion important aspects and results of the broad bandwidth of folksonomy research like capturing of emergent semantics, spam detection, ranking algorithms, analogies to search engine log data, personalized tag recommendations and information extraction techniques. We conclude that when integrating a real-life application like BibSonomy into research, certain constraints have to be considered; but in general, the tight interplay between our scientific work and the running system has made BibSonomy a valuable platform for demonstrating and evaluating Web 2.0 research.
ER  -

TY  - CONF
AU  - Niwa, Satoshi
AU  - Doi, Takuo
AU  - Honiden, Shinichi
A2  - 
T1  - Web Page Recommender System based on Folksonomy Mining
T2  - ITNG '06: Proceedings of the Third International Conference on Information Technology: New Generations (ITNG'06)
PB  - IEEE Computer Society
CY  - Washington, DC, USA
PY  - 2006/
M2  - 
VL  - 
IS  - 
SP  - 388
EP  - 393
UR  - http://portal.acm.org/citation.cfm?id=1128138
M3  - http://dx.doi.org/10.1109/ITNG.2006.140
KW  - folksonomy
KW  - kdubiq
KW  - recommender
KW  - summerschool
KW  - system
KW  - toread
L1  - 
SN  - 0-7695-2497-4
N1  - Web Page Recommender System based on Folksonomy Mining for ITNG '06 Submissions
N1  - 
AB  - 
ER  -