Abstract
TagMe! is a tagging and exploration front-end for Flickr images, which enables users to annotate specific areas of an image, i.e. users can attach tag assignments to a specific area within an image and further categorize the tag assignments. Additionally, TagMe! automatically maps tags and categories to DBpedia URIs to clearly define the meaning. In this work we discuss the differences between tags and categories and show how both facets can be applied to learn semantic relations between concepts referenced by tags and categories. We also expose the benefits of the visual (spatial) context of the tag assignments, with respect to ranking algorithms for search and retrieval of relevant items. We do so by analyzing metrics of size and position of the annotated areas. Finally, in our experiments we compare different strategies to realize semantic mappings and show that already lightweight approaches map tags and categories with high precisions (86.85% and 93.77% respectively). The TagMe! system is currently available at http://tagme.groupme.org .
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References
Passant, A., Laublet, P.: Meaning Of A Tag: A collaborative approach to bridge the gap between tagging and Linked Data. In: Proceedings of the WWW 2008 Workshop Linked Data on the Web (LDOW 2008), Beijing, China (2008)
Marchetti, A., Tesconi, M., Ronzano, F., Rosella, M., Minutoli, S.: SemKey: A Semantic Collaborative Tagging System. In: Workshop on Tagging and Metadata for Social Information Organization at WWW 2007, Banff, Canada, May 8-12 (2007)
Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.G.: DBpedia: A nucleus for a web of open data. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007)
Abel, F., Kawase, R., Krause, D., Siehndel, P.: Multi-faceted Tagging in TagMe! In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol. 5823, Springer, Heidelberg (2009)
Berners-Lee, T.: Linked Data - design issues. Technical report, W3C (2007), http://www.w3.org/DesignIssues/LinkedData.html
Russell, B.C., Torralba, A.B., Murphy, K.P., Freeman, W.T.: LabelMe: A Database and Web-based tool for Image Annotation. International Journal of Computer Vision 77, 157–173 (2008)
Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., Hellmann, S.: Dbpedia - a crystallization point for the web of data. Web Semantics: Science, Services and Agents on the World Wide Web (2009)
Halpin, H., Robu, V., Shepherd, H.: The Complex Dynamics of Collaborative Tagging. In: Proc. of 16th Int. World Wide Web Conference (WWW 2007), pp. 211–220. ACM Press, New York (2007)
Mika, P.: Ontologies are us: A unified model of social networks and semantics. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 522–536. Springer, Heidelberg (2005)
Hotho, A., Jäschke, R., Schmitz, C., Stumme, G.: Information retrieval in folksonomies: Search and ranking. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 411–426. Springer, Heidelberg (2006)
Sigurbjörnsson, B., van Zwol, R.: Flickr tag recommendation based on collective knowledge. In: Proc. of 17th Int. World Wide Web Conference (WWW 2008), pp. 327–336. ACM Press, New York (2008)
Abel, F., Henze, N., Kawase, R., Krause, D.: The impact of multifaceted tagging on learning tag relations and search. In: Aroyo, L., Antoniou, G., Hyvönen, E., ten Teije, A., Stuckenschmidt, H., Cabral, L., Tudorache, T. (eds.) ESWC 2010. LNCS, vol. 6089, pp. 90–105. Springer, Heidelberg (2010)
Milicic, V.: Case study: Semantic tags. W3C Semantic Web Case Studies and Use Cases (2008), http://www.w3.org/2001/sw/sweo/public/UseCases/Faviki/
Marlow, C., Naaman, M., Boyd, D., Davis, M.: HT06, tagging paper, taxonomy, flickr, academic article, to read. In: Proc. of the 17th Conf. on Hypertext and Hypermedia, pp. 31–40. ACM Press, New York (2006)
Vander Wal, T.: Explaining and showing broad and narrow folksonomies (2005), http://www.personalinfocloud.com/2005/02/explaining_and_.html
Tonkin, E.: Searching the long tail: Hidden structure in social tagging. In: Proceedings of the 17th SIG Classification Research Workshop (2006)
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Abel, F., Henze, N., Kawase, R., Krause, D., Siehndel, P. (2011). TagMe!: Enhancing Social Tagging with Spatial Context. In: Filipe, J., Cordeiro, J. (eds) Web Information Systems and Technologies. WEBIST 2010. Lecture Notes in Business Information Processing, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22810-0_9
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DOI: https://doi.org/10.1007/978-3-642-22810-0_9
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