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国外关于社会标签的研究进展 被引量：2

A Review of Study on Social Tagging Abroad
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摘要 社会标签研究是近年来图书馆学情报学领域新兴的研究方向。国外社会标签的研究进展除了对社会标签应用外,还集中在对社会标签的新方法、新技术和新算法及对社会标签与知识组织融合的研究方面。 In recent years, social tagging research is an emerging field of library and information science. Besides application research, study abroad focuses also on new technologies, new methods, new algorithm of social tagging, and the integration between social tagging and knowledge organization.
作者 金瑛
机构地区 中国科学院文献情报中心 中国科学院大学
出处 《图书馆学研究》 CSSCI 北大核心 2014年第12期8-11,7,共5页 Research on Library Science
关键词 社会标签 框架 标签工具 聚类方法 social tagging framework social tagging tools clustering method
分类号 G250 [文化科学—图书馆学]
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参考文献24

  • 1Smith G. Atomiq: Folksonomy: Social Classification [EB/OL] . [ 2010 - 08 - 25 ]. http : //atomiq. org/archives/2004/O8/folkso nomy_ social classification, html.
  • 2Maggio L. A, Bresnahan M, Flynn D. B, et al. A Case Study: Using Social Tagging to Engage Students in Learning Medical Subject Headings [J] .Journal of the Medical Library Association, 2009, 97 (2): 77-83.
  • 3Pence L.E, Pence H.E. Assessing Resource Bias and Engaging Students To Personalize Class Content through Internet Social Tagging [J]. Journal of Chemical Education, 2009, 86 (1): 41-44.
  • 4Bianco C. E. Medical Librarians' Uses and Perceptions of Social Tagging [J]. Journal of the Medical Library Association, 2009, 97 (2): 136-175.
  • 5Nitsche M, Kindsmuller M.C, Arend U, et aI. Social Adaptation of ERP Software= Tagging UI Elements [J] . Online Communities And Social Computing, 2009, 5621 : 391 - 400.
  • 6Kim H. N, Rawashdeh M, Alghamdi A, et al. Folksonomy - Based Personalized Search and Ranking in Social Media Services [J]. Information Systems, 2012, 37 (1) : 61 -76.
  • 7Sun A, Bhowmick S. S, Nguyen KTN, et aI. Tag-Based Social Image Retrieval: An Empirical Evaluation [ J]. Journal of the American Society for Information Science and Technology, 2011, 62 (12): 2364-2381.
  • 8Symeonidis P, Nanopoulos A, Manolopoulos Y.A Unified Framework for Providing Recommendations in Social Tagging Systems Based on Ternary Semantic Analysis [J]. IEEE Transactions On Knowledge And Data Engineering, 2010, 22 (2): 179-192.
  • 9Koutsonikola V, Vakali A, Giannakidou E, et al. Clustering of Social Tagging System Users= A Topic and Time Based Approach [J]. Web Information Systems Engineering-Wise 2009, 2009, 5802= 75 -86.
  • 10Yin Z. J, Li R, Han J. W. Exploring Social Tagging Graph for Web Object Classification [C] . Paris= 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2009.

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二级引证文献2

图书馆学研究
2014年 第12期

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