Abstract
Collaborative tagging is attracting a growing community in the arts museums as manifested by several initiatives such as the Steve Museum project and the Posse initiative at the Brooklyn Museum. The driving force for these projects is the quest for increased and improved access to artifact collections such as art collections. Previous results of studying the nature of tags provided by users reveal that these tags have little overlap with museum documentation; but on the other hand, there is good overlapping with terms from vocabulary sources such as the Art and Architecture Thesaurus (AAT). This paper reports a case study that we performed where the aim was to include tags provided by “average” users from the broader community, not necessarily closely related to the art field as it was the focus of the previous studies. The study we performed comparing tags generated by average users, expert users and metadata seems to indicate the unique role that tags provided by average users would play in facilitating the interaction with art digital libraries.
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References
Golder, S.A., Huberman, B.A.: Usage patterns of collaborative tagging systems. J. Inf. Sci. 32(2), 198–208 (2006)
Paolillo, J.C., Penumarthy, S.: The Social Structure of Tagging Internet Video on del.icio.us. In: Proceedings of the 40th Annual Hawaii International Conference on System Sciences. IEEE Computer Society (2007)
Trant, J.: Tagging, Folksonomy and Art Museums: Results of steve.museum’s research (2009), http://conference.archimuse.com/files/trantSteveResearchReport2008.pdf
Good, B., Tennis, J., Wilkinson, M.: Social tagging in the life sciences: characterizing a new metadata resource for bioinformatics. BMC Bioinformatics 10(1), 313–313 (2009)
Durieux, V., Kerdelhué, G.: Looking for Health Information on the Internet: Can Social Bookmarking Systems Replace Expert Gateways. In: The European Association for Health Information and Libraries, EAHIL Workshop 2009, Dublin Castle, Ireland (2009)
Mahoui, M., et al.: Can Collaborative Tagging Improve the Searching of Health Web Sites? In: Proceedings of the AMIA 2010 Annual Symposium (2010)
Marshall, C.C.: No bull, no spin: a comparison of tags with other forms of user metadata. In: JCDL 2009 Proceedings of the 9th ACM/IEEE-CS Joint Conference on Digital Libraries 2009, New York, NY, USA (2009)
Hripcsak, G., Rothschild, A.S.: Agreement, the F-Measure, and Reliability in Information Retrieval. Journal of the American Medical Informatics Association 12(3), 296–298 (2005)
Bamshad, M.: The adaptive Web. Springer, Heidelberg (2007)
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Mahoui, M., Boston-Clay, C., Stein, R., Tirupattur, N. (2012). Collaborative Tagging of Art Digital Libraries: Who Should Be Tagging?. In: Zaphiris, P., Buchanan, G., Rasmussen, E., Loizides, F. (eds) Theory and Practice of Digital Libraries. TPDL 2012. Lecture Notes in Computer Science, vol 7489. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33290-6_18
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DOI: https://doi.org/10.1007/978-3-642-33290-6_18
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