Abstract
Although the effectiveness of social-tagging-systems has been illustrated in information retrieval and organization, there still are some urgent requirements including reducing redundancy and saving semantic relations for them. A natural solution is to organize tags in a hierarchical means. In this paper, we propose the idea of hierarchical-tag or HTag for short, and verify the improvements in the navigability of the HTag-base folksonomy by computational stimulations on the basis of a delicious.com dataset. Our findings may shed light on designing social-tagging-systems to improve the navigability.
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References
Mika, P.: Ontologies are us: A unified model of social networks and semantics. Proceedings of the Web Semantics: Science, Services and Agents on the World Wide Web 5(1), 5–15 (2007)
Wang, T., Xia, H., Liu, H.: Folksonomy Construction through User-Defined Hierarchical Tags. In: Proceedings of the 4th China National Conference on Social Computing, Beijing (2012)
Helic, D., Strohmaier, M., Trattner, C., Muhr, M., Lerman, K.: Pragmatic evaluation of folksonomies. In: Proceedings of the 20th International Conference on World Wide Web, pp. 417–426. ACM Press, New York (2011)
Heymann, P., Garcia-Molina, H.: Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems. Technical Report of InfoLab of Stanford University (2006)
Helic, D., Körner, C., Granitzer, M., Strohmaier, M., Trattner, C.: Navigational efficiency of broad vs. narrow folksonomies. In: Proceedings of the 23rd ACM Conference on Hypertext and Social Media, pp. 63–72. ACM Press, New York (2012)
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Wang, T., Liu, H., Xia, H. (2013). Navigability of Hierarchical-Tag-Based Folksonomies. In: Wang, M. (eds) Knowledge Science, Engineering and Management. KSEM 2013. Lecture Notes in Computer Science(), vol 8041. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39787-5_24
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DOI: https://doi.org/10.1007/978-3-642-39787-5_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39786-8
Online ISBN: 978-3-642-39787-5
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