Please wait a minute...
New Technology of Library and Information Service  2004, Vol. 20 Issue (9): 76-79    DOI: 10.11925/infotech.1003-3513.2004.09.21
Current Issue | Archive | Adv Search |
Search Networks of Ancient Book Bibliography
Xiong Weihua
(Guangzhou University Library,Gungzhou 510405,China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

It gives an introduction of the China’s overall situations about the search network of ancient books bibliography, and analyses characteristics respectively and points out the deficiencies,At last, some suggestions are put forward.

Key wordsAncient books      Bibliography      Network      Search     
Received: 09 April 2004      Published: 25 September 2004
: 

G354.43

 
Corresponding Authors: Xiong Weihua     E-mail: xwh103@163.com
About author:: Xiong Weihua

Cite this article:

Xiong Weihua. Search Networks of Ancient Book Bibliography. New Technology of Library and Information Service, 2004, 20(9): 76-79.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2004.09.21     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2004/V20/I9/76

1  李明杰.古籍网络资源述略.图书馆建设,2002(3):84—86
2  姚伯岳等.古籍元数据标准的设计及其系统实现.大学图书馆学报,2003(1):17—21
3  金靖.网上主要中文古籍数据库调查统计表.文津流觞第8期,http://www.nlc.gov.cn/newpage/wjls/html/8_22.htm (Accessed Feb.1,2004)
4  郑贤兰,薛文辉.古籍、特藏书目数据库及数字化调查统计表.文津流觞第8期,http://
www.nlc.gov.cn/newpage/wjls/html/8_21.htm (Accessed Feb.1,2004)
http://www.nlc.gov.cn/(Accessed Feb.2,2004)
http://www.library.sh.cn/(Accessed Feb.3,2004)
http://www.lib.pku.edu.cn/(Accessed Feb.3,2004)

[1] Lu Yunmeng,Liu Tiezhong. Diffusion Model for Tacit Knowledge of Scientific Cooperation Network Based on Relevance: Case Study of Major Sci-Tech Projects[J]. 数据分析与知识发现, 2021, 5(9): 10-20.
[2] Zhou Zeyu,Wang Hao,Zhao Zibo,Li Yueyan,Zhang Xiaoqin. Construction and Application of GCN Model for Text Classification with Associated Information[J]. 数据分析与知识发现, 2021, 5(9): 31-41.
[3] Fan Tao,Wang Hao,Wu Peng. Sentiment Analysis of Online Users' Negative Emotions Based on Graph Convolutional Network and Dependency Parsing[J]. 数据分析与知识发现, 2021, 5(9): 97-106.
[4] Xu Zengxulin, Xie Jing, Yu Qianqian. Designing New Evaluation Model for Talents[J]. 数据分析与知识发现, 2021, 5(8): 122-131.
[5] Wang Ruolin, Niu Zhendong, Lin Qika, Zhu Yifan, Qiu Ping, Lu Hao, Liu Donglei. Disambiguating Author Names with Embedding Heterogeneous Information and Attentive RNN Clustering Parameters[J]. 数据分析与知识发现, 2021, 5(8): 13-24.
[6] Wang Qinjie, Qin Chunxiu, Ma Xubu, Liu Huailiang, Xu Cunzhen. Recommending Scientific Literature Based on Author Preference and Heterogeneous Information Network[J]. 数据分析与知识发现, 2021, 5(8): 54-64.
[7] Gu Yaowen, Zhang Bowen, Zheng Si, Yang Fengchun, Li Jiao. Predicting Drug ADMET Properties Based on Graph Attention Network[J]. 数据分析与知识发现, 2021, 5(8): 76-85.
[8] Zhang Le, Leng Jidong, Lv Xueqiang, Cui Zhuo, Wang Lei, You Xindong. RLCPAR: A Rewriting Model for Chinese Patent Abstracts Based on Reinforcement Learning[J]. 数据分析与知识发现, 2021, 5(7): 59-69.
[9] Wang Xiwei,Jia Ruonan,Wei Yanan,Zhang Liu. Clustering User Groups of Public Opinion Events from Multi-dimensional Social Network[J]. 数据分析与知识发现, 2021, 5(6): 25-35.
[10] Ma Yingxue,Zhao Jichang. Patterns and Evolution of Public Opinion on Weibo During Natural Disasters: Case Study of Typhoons and Rainstorms[J]. 数据分析与知识发现, 2021, 5(6): 66-79.
[11] Gao Yilin,Min Chao. Comparing Technology Diffusion Structure of China and the U.S. to Countries Along the Belt and Road[J]. 数据分析与知识发现, 2021, 5(6): 80-92.
[12] Yu Bengong,Zhu Xiaojie,Zhang Ziwei. A Capsule Network Model for Text Classification with Multi-level Feature Extraction[J]. 数据分析与知识发现, 2021, 5(6): 93-102.
[13] Chen Wenjie,Wen Yi,Yang Ning. Fuzzy Overlapping Community Detection Algorithm Based on Node Vector Representation[J]. 数据分析与知识发现, 2021, 5(5): 41-50.
[14] Han Pu,Zhang Zhanpeng,Zhang Mingtao,Gu Liang. Normalizing Chinese Disease Names with Multi-feature Fusion[J]. 数据分析与知识发现, 2021, 5(5): 83-94.
[15] Li Yueyan,Wang Hao,Deng Sanhong,Wang Wei. Research Trends of Information Retrieval——Case Study of SIGIR Conference Papers[J]. 数据分析与知识发现, 2021, 5(4): 13-24.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn