Wolfgang Gassler
ABSTRACT
Current mass-collaboration platforms use tags to annotate and categorize resources enabling eective search capabilities. However, as tags are freely chosen keywords, the resulting tag vocabulary is very heterogeneous. Another shortcoming of simple tags is that they do not allow for a specification of context to create meaningful metadata. In this paper we present the SnoopyTagging approach which supports the user in the process of creating contextualized tags while at the same time decreasing the heterogeneity of the tag vocabulary by facilitating intelligent self-learning recommendation algorithms.
- G. Furnas, T. Landauer, L. Gomez, and S. Dumais. The vocabulary problem in human-system communication. Comm. of the ACM, 30(11):971, 1987. Google Scholar
Digital Library
- W. Gassler, E. Zangerle, and G. Specht. The snoopy concept: Fighting heterogeneity in semistructured and collaborative information systems by using recommendations. In Intl. Conf. on Collaboration Technologies and Systems, Philadelphia, PA, 2011.Google ScholarCross Ref
- M. Lipczak. Tag recommendation for folksonomies oriented towards individual users. ECML PKDD Discovery Challenge, pages 84--95, 2008.Google Scholar
- B. Sigurbjörnsson and R. Van Zwol. Flickr tag recommendation based on collective knowledge. In Proc. of the 17th WWW Conference, pages 327--336. ACM, 2008. Google ScholarDigital Library
Index Terms
- SnoopyTagging: recommending contextualized tags to increase the quality and quantity of meta-information
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