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现代图书情报技术  2013, Vol. 29 Issue (11): 22-29     https://doi.org/10.11925/infotech.1003-3513.2013.11.04
  知识组织与知识管理 本期目录 | 过刊浏览 | 高级检索 |
社会化标签质量评估研究综述
李蕾, 章成志
南京理工大学信息管理系 南京 210094
Survey on Quality Evaluation of Social Tags
Li Lei, Zhang Chengzhi
Department of Information Management, Nanjing University of Science & Technology, Nanjing 210094, China
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摘要 旨在对有关社会化标签质量相关研究进行总结,首先阐述社会化标签质量评估问题的产生背景,然后对现有社会化标签质量评估方法进行总结与比较分析,指出社会化标签质量评估中存在的问题,对社会化标签质量评估研究和未来发展方向提出展望。
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李蕾
章成志
关键词 社会化标签质量评估用户生成内容Web2.0    
Abstract:This article aims to summarize the quality of social tags. Firstly, the background of the tags quality assessment issues is expounded. Secondly, the existing methods of tags quality assessment are summarized and compared, and the problems of the tags quality assessment are pointed out. Finally the social tags quality evaluation studies and the future direction of development are put forward.
Key wordsSocial tags    Quality evaluation    User generated content    Web2.0
收稿日期: 2013-08-26      出版日期: 2013-11-29
:  G350  
基金资助:本文系国家自然科学基金项目“基于可比语料的多语言文本聚类研究”(项目编号:70903032)、教育部人文社会科学基金规划项目“多语言高质量社会化标签生成及聚类研究”(项目编号:13YJA870020)和中央高校基本科研业务费专项资金项目“多语言高质量社会化标签生成及其应用研究”(项目编号:30920130132013)的研究成果之一。
通讯作者: 章成志     E-mail: zhangcz@njust.edu.cn
引用本文:   
李蕾, 章成志. 社会化标签质量评估研究综述[J]. 现代图书情报技术, 2013, 29(11): 22-29.
Li Lei, Zhang Chengzhi. Survey on Quality Evaluation of Social Tags. New Technology of Library and Information Service, 2013, 29(11): 22-29.
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https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2013.11.04      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2013/V29/I11/22
[1] Trivedi A, Rai P, Hal Daumé III, et al. Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Webpage Clustering [J]. ACM Transactions on Intelligent Systems and Technology, 2011, 2(3): 111-130.
[2] Zubiaga A, Martínez R, Fresno V.Getting the Most out of Social Annotations for Web Page Classification[C]. In: Proceedings of the 9th ACM Symposium on Document Engineering (DocEng'09), Munich, Germany. 2009: 74-83.
[3] Zhou D, Bian J, Zheng S, et al. Exploring Social Annotations for Information Retrieval[C]. In: Proceedings of the 17th International Conference on World Wide Web, Beijing, China. 2008: 715-724.
[4] Zhao S W, Du N, Nauerz A, et al. Improved Recommendation Based on Collaborative Tagging Behaviors[C]. In: Proceedings of the 13th International Conference on Intelligent User Interfaces, Gran Canaria, Spain. 2008:413-416.
[5] Goh D H L, Chua A, Lee C S, et al. Resource Discovery Through Social Tagging: A Classification and Content Analytic Approach [J]. Online Information Review, 2009, 33(3):568-583.
[6] Krause B, Schmitz C, Hotho A, et al. The Anti-social Tagger: Detecting Spam in Social Bookmarking Systems[C]. In: Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web. 2008: 61-68.
[7] Gu X, Wang X, Li R, et al. Measuring Social Tag Confidence: Is It a Good or Bad Tag?[C]. In: Proceedings of the 12th International Conference on Web-Age Information Management. 2011:94-105.
[8] Lee S E, Han S S. Qtag: Introducing the Qualitative Tagging System[C]. In: Proceedings of the 18th Conference on Hypertext and Hypermedia. 2007:35-36.
[9] Lai V, Rajashekar C, Rand W. Comparing Social Tags to Microblogs[C]. In: Proceedings of the 3rd IEEE International Conference on Privacy, Security, Risk, and Trust, and the 3rd IEEE International Conference on Social Computing. 2011:1380-1383.
[10] Sen S, Harper F M, LaPitz A, et al. The Quest for Quality Tags[C]. In: Proceedings of the 2007 International ACM Conference on Supporting Group Work. 2007:361-370.
[11] Zhang S, Farooq U, Carroll J M. Enhancing Information Scent: Identifying and Recommending Quality Tags[C]. In: Proceedings of the ACM 2009 International Conference on Supporting Group Work. 2009:1-10.
[12] Wu D, He D, Qiu J, et al. Comparing Social Tags with Subject Headings on Annotating Books: A Study Comparing the Information Science Domain in English and Chinese[J]. Journal of Information Science, 2013,39(2):169-187.
[13] Belém F M, Martins E F, Almeida J M, et al. Exploiting Co-occurrence and Information Quality Metrics to Recommend Tags in Web 2.0 Applications[C]. In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management(CIKM'10). 2010:1793-1796.
[14] 孙珂. 大规模文档标签自动标注技术研究[D]. 哈尔滨: 哈尔滨工业大学, 2011. (Sun Ke. Research on Large-scale Document Automatic Tagging Technologies [D]. Harbin: Harbin Institute of Technology, 2011.)
[15] Hall C E, Zarro M A. What do You Call It? : A Comparison of Library-created and User-created Tags[C]. In: Proceedings of the 11th Annual International ACM/IEEE Joint Conference on Digital Libraries. 2011:53-56.
[16] Al-Khalifa H S, Davis H C. Folksonomies Versus Automatic Keyword Extraction: An Empirical Study[C]. In: Proceedings of IADIS Web Applications and Research. 2006:15-19.
[17] 丁婉莹,贺芳,冯利飞,等.标签与关键词相似度对比分析[J]. 情报理论与实践, 2009,32(10):111-114.(Ding Wanying, He Fang, Feng Lifei, et al. Comparative Analysis of the Tags and Keywords Similarity[J] .Information Studies: Theory & Application,2009,32(10):111-114.)
[18] Van Damme C, Hepp M, Coenen T. Quality Metrics for Tags of Broad Folksonomies[C].In: Proceedings of the International Conference on Semantic Systems (I-Semantics). 2008: 118-125.
[19] Yi K, Yoo C Y. An Empirical Examination of the Associations Between Social Tags and Web Queries[J/OL]. Information Research, 2012, 17(3). http://informationr.net/ir/17-3/paper527.html#.UUFqHrLxXdI.
[20] Krestel R, Chen L. The Art of Tagging: Measuring the Quality of Tags [C]. In: Proceedings of the 3rd Asian Semantic Web Conference. 2008:257-271.
[21] 李劲, 张华, 吴浩雄, 等. 基于社会标注质量的文本分类模型框架[J]. 计算机应用, 2012, 32(5):1335-1339. (Li Jin,Zhang Hua,Wu Haoxiong,et al. Text Classification Model Framework Based on Annotation Quality[J]. Journal of Computer Applications, 2012, 32(5):1335-1339.)
[22] Lawson K G. Mining Social Tagging Data for Enhanced Subject Access for Readers and Researchers [J]. The Journal of Academic Librarianship, 2009, 35(6):574-582.
[23] Thomas M, Caudle D M, Schmitz C M. To Tag or not to Tag? [J]. Library Hi Tech, 2009, 27(3):411-434.
[24] Lu C, Park J R, Hu X. User Tags Versus Expert-assigned Subject Terms: A Comparison of LibraryThing Tags and Library of Congress Subject Headings [J]. Journal of Information Science, 2010, 36(6):763-779.
[25] Bartley P. Book Tagging on LibraryThing: How, Why, and What are in the Tags?[J]. Proceedings of the American Society for Information Science and Technology, 2009, 46(1):1-22.
[26] Yi K. A Semantic Similarity Approach to Predicting Library of Congress Subject Headings for Social Tags[J]. Journal of the American Society for Information Science and Technology, 2010, 61(8):1658-1672.
[27] 吴丹, 林若楠, 冯倩然, 等.社会标签的规范性研究——图书标注[J]. 图书馆论坛, 2012,32(1):1-7. (Wu Dan,Lin Ruonan,Feng Qianran,et al. The Standardization of Social Tagging: A Study on Tagging Books[J].Library Tribune, 2012,32(1):1-7.)
[28] Lee D H, Schleyer T. Social Tagging is no Substitute for Controlled Indexing: A Comparison of Medical Subject Headings and CiteULike Tags Assigned to 231 388 Papers[J]. Journal of the American Society for Information Science and Technology, 2012, 63(9):1747-1757.
[29] Chen S. User Tagging for Digital Archives: The Case of Commercial Keywords from the Grand Secretariat[C]. In: Proceedings of the 13th International Conference on Asia-Pacific Digital Libraries. 2011:158-167.
[30] Syn S Y, Spring M B. Tags as Keywords - Comparison of the Relative Quality of Tags and Keywords[J]. Proceedings of the American Society for Information Science and Technology, 2009, 46(1):1-19.
[31] Guy M, Tonkin E. Folksonomies: Tidying up Tags? [J/OL]. D-Lib Magazine, 2006, 12(1). http://www.dlib.org/dlib/january06/guy/01guy.html.
[32] 徐静, 卢章平. 基于Folksonomy的信息组织及其优化[J]. 新世纪图书馆, 2011(4):34-36,46. (Xu Jing, Lu Zhangping. Information Organization and Optimization Based on Folksonomy[J].New Century Library, 2011(4):34-36,46.)
[33] 黄如花, 任其翔. WorldCat热门标签的调查与分析[J]. 图书与情报, 2012(5):7-10. (Huang Ruhua, Ren Qixiang. Survey and Analysis of WorldCat's Popular Tag[J].Library and Information, 2012(5):7-10.)
[34] Koutrika G, Effendi F A, Gyngyi Z, et al. Combating Spam in Tagging Systems[C]. In: Proceedings of the 3rd International Workshop on Adversarial Information Retrieval on the Web. 2007:57-64.
[35] Li X, Guo L, Zhao Y E. Tag-based Social Interest Discovery[C]. In: Proceedings of the 17th International Conference on World Wide Web. 2008:675-684.
[36] Noh T G, Lee J K, Park S B, et al. Tag Quality Feedback: A Framework for Quantitative and Qualitative Feedback on Tags of Social Web [C]. In: Proceedings of the 11th Pacific Rim International Conference on Artificial Intelligence, Daegu, Korea. 2010:637-642.
[37] Xu Z, Fu Y, Mao J, et al. Towards the Semantic Web: Collaborative Tag Suggestions[C].In: Proceedings of the Collaborative Web Tagging Workshop at WWW2006, Edinburgh, Scotland. 2006.
[38] 覃希, 夏宁霞, 苏一丹. 基于支持向量机的垃圾标签检测模型[J]. 计算机应用研究, 2010, 27(10):3893-3895. (Qin Xi, Xia Ningxia, Su Yidan. SVM-based Social Spam Detection Model[J]. Application Research of Computers, 2010, 27(10):3893-3895.)
[39] 吴方枝. Flickr网站用户标签的质量控制对策 [J]. 图书馆学研究, 2012(11):26-28.(Wu Fangzhi. The Flickr Website's Quality Control Measures of Users Tags [J].Research on Library Science, 2012(11):26-28.)
[40] Sen S, Lam S K, Rashid A M, et al. Tagging, Communities, Vocabulary, Evolution[C].In: Proceedings of the 20th Anniversary Conference on Computer Supported Cooperative Work. ACM, 2006: 181-190.
[41] Zhu H, Wu H. Sloppy Tags and Metacrap? Quality of User Contributed Tags in Collaborative Social Tagging Systems [C]. In: Proceedings of the 15th Americas Conference on Information Systems.2009.
[42] Strohmaier M, Krner C, Kern R. Understanding Why Users Tag: A Survey of Tagging Motivation Literature and Results from an Empirical Study [J]. Journal of Web Semantics: Science, Services and Agents on the World Wide Web, 2012, 17:1-11.
[43] Figueiredo F, Belém F, Pinto H, et al. Evidence of Quality of Textual Features on the Web 2.0[C]. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management(CIKM'09). 2009:909-918.
[44] Almeida J, Goncalves M A, Figueiredo F, et al. On the Quality of Information for Web 2.0 Services [J]. IEEE Internet Computing, 2010, 14(6):47-55.
[45] Figueiredo F, Pinto H, Belém F, et al. Assessing the Quality of Textual Features in Social Media [J]. Information Processing & Management, 2013, 49(1):222-247.
[46] Gupta M, Li R, Yin Z, et al. Survey on Social Tagging Techniques [J]. ACM SIGKDD Explorations Newsletter, 2010, 12(1):58-72.
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