Tag Normalization and Prediction for Effective Social Media Retrieval
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Augmenting Europeana content with linked data resources
Proceedings of the 6th International Conference on Semantic Systems
Trend detection in folksonomies
SAMT'06 Proceedings of the First international conference on Semantic and Digital Media Technologies
Crowdsourcing in the cultural heritage domain: opportunities and challenges
Proceedings of the 5th International Conference on Communities and Technologies
Analysing user motivation in an art folksonomy
Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
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For the canon of important works of art, lots of information is available on the Internet. Different Web platforms exist that show artworks with additional information and an Art historical description. While this information is suitable for experts in Art history, users without this expert knowledge may find this information hard to access because of a vocabulary mismatch between experts and laypersons. In order to allow users with different expertise to communicate and comprehend Art in their own vocabulary we have created the explorARTorium (www.explorARTorium.info), which visualises artworks in context and allows users to browse along different narratives. The explorARTorium also offers the possibility to annotate artworks. We have therefore collected a Folksonomy about artworks. Applying Data Mining algorithms on this Folksonomy, we show that the reproduction of Art historical facts is possible. Moreover, we are able to analyse the extent of Art historical knowledge among people of the 21st century.