Usage patterns of collaborative tagging systems
Journal of Information Science
HT06, tagging paper, taxonomy, Flickr, academic article, to read
Proceedings of the seventeenth conference on Hypertext and hypermedia
tagging, communities, vocabulary, evolution
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Stop thinking, start tagging: tag semantics emerge from collaborative verbosity
Proceedings of the 19th international conference on World wide web
Of categorizers and describers: an evaluation of quantitative measures for tagging motivation
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Analysing user generated content related to art history
i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
Crowdsourcing in the cultural heritage domain: opportunities and challenges
Proceedings of the 5th International Conference on Communities and Technologies
Learning about Art History by Exploratory Search, Contextual View and Social Tags
ICALT '12 Proceedings of the 2012 IEEE 12th International Conference on Advanced Learning Technologies
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The perception of art is a subjective affair - being influenced by our feelings, education and cultural background. Contrary, the study of art history uses formal methods to classify artworks. This discrepancy often poses a risk of being insurmountable -- especially for users without prior knowledge of art history. The concept of social tagging provides the possibility to merge art historical information with the subjective perception of users. For our art Web platform explorARTorium, social tags augment exiting art historical information. In order to better understand how social tagging is best applied, it is necessary to examine the user's motivation to assign tags. We adopt the differentiation between users who are motivated by categorizing, and users who are motivated by describing resources. By evaluating our folksonomy according to this paradigm, we show that the preference for certain artworks has an effect on the user's tagging motivation, whereas the presentation of an artwork does not. While measures exist that are able to identify the user's motivation for annotating artworks, we propose an heuristic that aims to classify categorizing, respectively descriptive, tags. After evaluating this proposed heuristic, we show that it is indeed possible to identify categorizing and descriptive tags, even though the results are somewhat biased by the content of the resources and the individual tagging behaviour of the users.