Please wait a minute...
New Technology of Library and Information Service  2005, Vol. 21 Issue (8): 45-47    DOI: 10.11925/infotech.1003-3513.2005.08.11
Current Issue | Archive | Adv Search |
ARK——Archive Resource Key
Xiang  Zhen(Compiler)
(Information Science Institute, Southeast University Libraries, Nanjing 210096, China)
Download: PDF (0 KB)  
Export: BibTeX | EndNote (RIS)      

This paper mainly anatomies the structure of ARK identifier, describes how to name the digital resources with ARK, introduces the character and quality control of ARK.

Key wordsARK     
Received: 28 March 2005      Published: 25 August 2005


Corresponding Authors: Xiang Zhen(Compiler)     E-mail:
About author:: Xiang Zhen(Compiler)

Cite this article:

Xiang Zhen(Compiler). ARK——Archive Resource Key. New Technology of Library and Information Service, 2005, 21(8): 45-47.

URL:     OR

1John Kunze, The ARK Persistent Identifier Scheme.October,13,2004. ARK Persistent Identifier Scheme.html(Accessed Nov.16,2004)
2John Kunze,Achival Resouce KeyOctober,23,2004. (Accessed Nov.16,2004)
3John Kunze and P.R.C.Rodgers, The ARK Persistent Identifier Scheme.January,31,2004. Nov.16,2004)
4Mary K.Health   The Achival Resource Key-A Tool for Providing Persistent Acess  ,2004(06)

[1] Yan Chun,Liu Lu. Classifying Non-life Insurance Customers Based on Improved SOM and RFM Models[J]. 数据分析与知识发现, 2020, 4(4): 83-90.
[2] Gao Yuan,Shi Yuanlei,Zhang Lei,Cao Tianyi,Feng Jun. Reconstructing Tour Routes Based on Travel Notes[J]. 数据分析与知识发现, 2020, 4(2/3): 165-172.
[3] Yonghua Cen,Zhihao Tan,Chengyao Wu. Impacts of Financial Media Information on Stock Market: An Empirical Study of Sentiment Analysis[J]. 数据分析与知识发现, 2019, 3(9): 98-114.
[4] Zhiqiang Liu,Yuncheng Du,Shuicai Shi. Extraction of Key Information in Web News Based on Improved Hidden Markov Model[J]. 数据分析与知识发现, 2019, 3(3): 120-128.
[5] Zhu Peng,Zhao Xiaoxiao,Wu Wei. Factors Influencing Mobile E-commerce Consumers’ Preferences: An Empirical Study[J]. 数据分析与知识发现, 2017, 1(3): 1-9.
[6] Zhai Dongsheng,Cai Wenhao,Zhang Jie,Li Zhenfei. An Improved Method of Semantic Similarity Calculation of Chinese Trademarks[J]. 数据分析与知识发现, 2017, 1(11): 19-28.
[7] Chen Dongyi,Zhou Zicheng,Jiang Shengyi,Wang Lianxi,Wu Jialin. A Framework for Customer Segmentation on Enterprises’ Microblog[J]. 现代图书情报技术, 2016, 32(2): 43-51.
[8] Liu Pingfeng,Wang Bei,Lei Jie. Using Latent Class Analysis to Classify O2O Service Users[J]. 现代图书情报技术, 2016, 32(2): 52-58.
[9] Guang Zhu, Mining Feng. Content Authentication for Video Resources of Libraries, Museums and Archives with Semi-fragile Watermarking[J]. 数据分析与知识发现, 2016, 32(12): 76-84.
[10] Zhu Guang,Feng Mining. A New Video Watermarking Technology for Copyright Protection[J]. 现代图书情报技术, 2016, 32(10): 105-111.
[11] Xiong Jing, Gao Feng, Wu Qinxia. Research on Semantic Mining for Large-scale Oracle Bone Inscriptions Foundation Data[J]. 现代图书情报技术, 2015, 31(2): 7-14.
[12] Zhu Guang. Copyright Protection Scheme of Color Images for Libraries, Museums and Archives Based on Zero-Watermarking[J]. 现代图书情报技术, 2015, 31(12): 89-94.
[13] Hao Shibo, Zhu Xuefang. An Image Zero-Watermarking Algorithm Using Block Compressive Sensing for Libraries, Museums and Archives[J]. 现代图书情报技术, 2014, 30(6): 87-93.
[14] Gao Bin. An Exploratory Study of Users and Tags on Social Bookmarking Websites[J]. 现代图书情报技术, 2012, 28(6): 65-71.
[15] Liu Jiantao. Implement of Translation and Interpretation Bookmarklet in Library Based on Cloud Service[J]. 现代图书情报技术, 2012, 28(6): 84-88.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938