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标签聚类在政府门户网站信息资源分类中的应用 被引量：1

Application of Tag Clustering in Information Resources Classification of Government Portals
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摘要 针对政府门户网站标签系统中存在的标签组织混乱、信息描述精确度不高等缺陷,本文提出了一种基于K-means的标签聚类算法。实现了对标签的重新组织,为用户提供了更加方便的检索机制。 In view of the fact that there exist the deficiencies such as the disorganized tags and the low information description accuracy in the tagging system of the government portals,this paper propose a tag clustering algorithm based on K-means,which realizes the re-organization of tags and the purpose of providing more convenient browsing mechanism for users.
作者 邓媛 刘东苏 李克然
机构地区 西安电子科技大学经济管理学院
出处 《情报理论与实践》 CSSCI 北大核心 2011年第4期96-98,共3页 Information Studies:Theory & Application
关键词 标签聚类 算法 政府门户 网站 tag clustering algorithm government portal Website
分类号 D630 [政治法律—中外政治制度]
  • 相关文献

参考文献5

  • 1GOLDER S, HUBERMAN B. Usage patterns of collaborative tagging systems [ J ]. Journal of Information Science, 2006 (2) : 198-208.
  • 2程慧荣,黄国彬,孙坦.国外基于大众标注系统的标签研究[J].图书情报工作,2009,53(2):121-124. 被引量：14
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二级参考文献36

  • 1Noruzi A. Folksonomies: Uncontrolled vocabulary. Knowledge Organization, 2007,4 (2), 199 - 203.
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共引文献41

同被引文献18

  • 1王波,唐常杰,段磊,尹佳,左劼,李川.RT-Rank:基于RSS标签排名相关性的文档聚类[J].计算机研究与发展,2007,44(z3):125-130. 被引量：2
  • 2李书宁.互联网信息环境中信息超载问题研究[J].情报科学,2005,23(10):1587-1590. 被引量：24
  • 3Trivedi A, Rai P, Hal Daum$ III,et al.Leveraging Social Book-marks from Partially Tagged Corpus for Improved Web- page Cluste-ring [J]. ACM Transactions on Intelligent Systems and Technology, 2011,2(3): 111 - 130.
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  • 6Grigory Begelman,Philipp Keller, Frank Smadja.Automated tag clustering: improving search and exploration in the tag space [C]. Collaborative Web Tagging Workshop, 15th International World Wide Web Conference,2006:1130-1147.
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  • 8Abbasi R, Staab S, Cimiano P. Organizing Resource on Tag- ging SystemsUsing T-ORG[C]. In:Proceedings of the Internation- al Workshop on Bridging theGapBetween Semantic Web and Web2.0. Innsbruck. Austria, 2007: 97-110.
  • 9DeMeo P, QuattroneG, UrsinoD. Exploitation of Semantic Re- lationships and Hierarchical Data Structures to SupportaUser in- His Annotation and BrowsingActivities in Folksonomy[J]. Informa- tion System,2009,34(6): 511-535.
  • 10Wei Wu, Bin Zhang, Mari Ostendorf. Automatic Generation of Personalized Annotation Tags for Twitter Users[C]. ACL,2010: 689-692.

引证文献1

二级引证文献1

情报理论与实践
2011年 第4期

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