Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/94588
Title: Can social tags help you find what you want?
Authors: Khasfariyati Razikin
Goh, Dion Hoe-Lian
Chua, Alton Yeow Kuan
Lee, Chei Sian
Keywords: DRNTU::Library and information science::Libraries::Digital libraries and information portals
Issue Date: 2008
Source: Khasfariyati, R., Goh, D. H. L., Chua, A. Y. K., & Lee, C. S. (2008). Can Social Tags Help You Find What You Want? In Proceedings of the 12th European Conference on Research and Advanced Technology for Digital Libraries ECDL 2008, pp. 50-61.
Abstract: One of the uses of social tagging is to associate freely selected terms (tags) to resources for sharing resources among tag consumers. This enables tag consumers to locate new resources through the collective intelligence of other tag creators, and offers a new avenue for resource discovery. This paper investigates the effectiveness of tags as resource descriptors determined through the use of text categorisation using Support Vector Machines. Two text categorisation experiments were done for this research, and tags and web pages from del.icio.us were used. The first study concentrated on the use of terms as its features. The second study used both terms and its tags as part of its feature set. The results indicate that the tags were not always reliable indicators of the resource contents. At the same time, the results from the terms only experiment were better compared to the experiment with terms and tags. A deeper analysis of a sample of tags and documents were also conducted and implications of this research are discussed.
URI: https://hdl.handle.net/10356/94588
http://hdl.handle.net/10220/7433
DOI: 10.1007/978-3-540-87599-4_6
Rights: © 2008 Springer. This is the author created version of a work that has been peer reviewed and accepted for publication by Lecture Notes in Computer Science, Springer. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [DOI: http://dx.doi.org/10.1007/978-3-540-87599-4_6].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Conference Papers

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