Please wait a minute...
New Technology of Library and Information Service  2010, Vol. 26 Issue (11): 90-93    DOI: 10.11925/infotech.1003-3513.2010.11.15
article Current Issue | Archive | Adv Search |
Design and Implementation of Discipline Navigation System in University Libraries Based on Tag Technology
Xue Juan
Library of Nanjing University of Posts and Telecommunications,Nanjing 210003,China
Download: PDF(555 KB)   HTML  
Export: BibTeX | EndNote (RIS)      
Abstract  

The paper applies tag into library,which is one of the most important technologies for Web2.0. In view of the existing problems in discipline construction for universities, the paper suggests a discipline navigation system based on tag,which is introduced comprehensively from the aspects of design ideas,system function and technology implementation. The system realizes the co-construction and share in discipline resources, and expands the range of tag application in library.

Key wordsTag      Discipline navigation      Web2.0      Lib2.0     
Received: 20 October 2010      Published: 04 January 2011
: 

G250.76

 

Cite this article:

Xue Juan. Design and Implementation of Discipline Navigation System in University Libraries Based on Tag Technology. New Technology of Library and Information Service, 2010, 26(11): 90-93.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2010.11.15     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2010/V26/I11/90


[1] 田莹颖. 基于社会化标签系统的个性化信息推荐探讨
[J]. 图书情报工作,2010,54(1):50-53.

[2] 王慧,王树乔. Tag引路:升级图书馆2.0服务
[J]. 图书馆学研究,2010(7):81-83.

[3] 黄传慧. Web2.0环境下图书馆学术信息服务研究
[M]. 武汉:湖北人民出版社,2010.

[4] 孙明杰,吴德岗. Wiki 与高校图书馆学科导航库建设
[J]. 科技信息,2008(34):11.

[5] 明日科技.ASP.NET数据库系统开发完全手册
[M]. 北京:人民邮电出版社,2007.

[6] 施伟伟,王敬栋. ASP.NET2.0数据库通用模块开发与系统移植
[M]. 北京:清华大学出版社,2007.

[7] 郑耀东.精通ASP.NET2.0的Web 2.0应用——Blog.Tags.RSS.NAS.XML社区.Ajax Mail
[M].北京:人民邮电出版社,2007.

[8] 于明洁,王建军. Tag 在图书馆2.0 下的运用模式探讨
[J]. 图书馆理论与实践,2010(2):83-86.

[1] Lixin Xia,Jieyan Zeng,Chongwu Bi,Guanghui Ye. Identifying Hierarchy Evolution of User Interests with LDA Topic Model[J]. 数据分析与知识发现, 2019, 3(7): 1-13.
[2] Yue Yuan,Dongbo Wang,Shuiqing Huang,Bin Li. The Comparative Study of Different Tagging Sets on Entity Extraction of Classical Books[J]. 数据分析与知识发现, 2019, 3(3): 57-65.
[3] Jiaxin Ye,Huixiang Xiong. Recommending Personalized Contents from Cross-Domain Resources Based on Tags[J]. 数据分析与知识发现, 2019, 3(2): 21-32.
[4] Guanghui Ye,Jinglan Hu,Jian Xu,Lixin Xia. Analyzing Growth Trends and Attachment Mode of Social Blog Tags[J]. 数据分析与知识发现, 2018, 2(6): 70-78.
[5] Wei Lu,Mengqi Luo,Heng Ding,Xin Li. Image Annotation Tags by Deep Learning and Real Users: A Comparative Study[J]. 数据分析与知识发现, 2018, 2(5): 1-10.
[6] Huixiang Xiong,Jiaxin Ye,Wuxuan Jiang. Clustering Social Tags with Improved DBSCAN Algorithm[J]. 数据分析与知识发现, 2018, 2(12): 77-88.
[7] Haili Tu,Xiaobo Tang. Building Product Recommendation Model Based on Tags[J]. 数据分析与知识发现, 2017, 1(9): 28-39.
[8] Huixiang Xiong,Wuxuan Jiang. Clustering and Recommending Users Based on Tags and Relation Network[J]. 数据分析与知识发现, 2017, 1(6): 36-46.
[9] Meimei Chen,Kangjie Xue. Personalized Recommendation Algorithm of Multi-faceted Trust Tensor Based on Tag Clustering[J]. 数据分析与知识发现, 2017, 1(5): 94-101.
[10] Meimei Chen, Kangjie Xue. Personalized Recommendation Algorithm Based on Modified Tensor Decomposition Model[J]. 数据分析与知识发现, 2017, 1(3): 38-45.
[11] Mengyao Xie,Xuwei Pan. Constructing Dynamic Social Tag Cloud for User Interests[J]. 数据分析与知识发现, 2017, 1(2): 35-40.
[12] Bo Guo,Shouguang Li,Hao Wang,Xiaojun Zhang,Wei Gong,Zhaojun Yu,Yu Sun. Examining Product Reviews with Sentiment Analysis and Opinion Mining[J]. 数据分析与知识发现, 2017, 1(12): 1-9.
[13] Zhu Ling,Xue Chunxiang,Zhang Chengzhi,Fu Zhu. User Tags and Microblog Posts: Case Study of Sina Weibo[J]. 现代图书情报技术, 2016, 32(3): 18-24.
[14] Wang Zhongqun, Jiang Sheng, Xiu Yu, Huang Subin, Wang Qiansong. Information Resource Recommendation Method Based on Dynamic Tag-Resource Network[J]. 现代图书情报技术, 2015, 31(3): 49-57.
[15] Wu Wankun, Wu Qinglie, Gu Jinjiang. Hot Topic Extraction from E-commerce Microblog Based on EM-LDA Integrated Model[J]. 现代图书情报技术, 2015, 31(11): 33-40.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn