Please wait a minute...
New Technology of Library and Information Service  2001, Vol. 17 Issue (5): 14-17    DOI: 10.11925/infotech.1003-3513.2001.05.04
article Current Issue | Archive | Adv Search |
A Review of Theory and Practices of Digital Libraries in Russia
Lin Xi
(The Documentation and Information Centre of CAS, Beijing 100080, China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

There has been a great progress in research of digital libraries in Russia recent years. This paper introduces several steps of the research from "concept"to "fulfillment",that is to say, from development of digital information resources, research and selection of digital technology to the fulfillment.
Key words： Russia      Digital libraries      Review     
Received: 18 May 2001      Published: 25 October 2001
ZTFLH: 

G250.76　G259.512

 		 
Corresponding Authors: Lin Xi   
About author:: Lin Xi
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors

Cite this article:

Lin Xi. A Review of Theory and Practices of Digital Libraries in Russia. New Technology of Library and Information Service, 2001, 17(5): 14-17.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2001.05.04     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2001/V17/I5/14


[1]В·Золотарева.традицонный документ в цифровой перспективе.библиотека,1999,(9):35-37

[2]Н·Соколова、В·Рябев.цифровые библиотеки наших университетов:планы и реалии.библотека,1999,(5):59-62

[3]К·В·Вигурский、Б·А·Семеновкер.Элект-ронная
библиотека,может быть,вовсе и не библиотека,но библиотекари должны иметь на неё родите льскиеправа.библиотековедение,1999,(5)

[4]А.Захаров.Электронные документы:способы и формы предоставлен ия.Библиотека,2000,(11):29-31

[5]В.Костюк и др.Ифраструктура инноваций как Oснова перехода кинформационному обществу.Информационные ресурсы России,2001,(1):3-6

[6]И.Кросильникова.Электронные средства доставки,Библиотека,2000,(9):41-43

[7]肖秋惠,苏晓华.俄罗斯电子图书馆研究概述.江苏图书馆学报,2001,(2):56-58

[8]林曦.俄罗斯图书馆学理论研究热点评析.中国图书馆学报,1997,(6):26—31

[9]http://mcsa.ac.ru/rdlp/about.ru.htnl
[1] Yue Mingliang,Li Fushan,Tang Hongbo,Lv Xinhua,Ma Tingcan. Evaluating Consistency of Scholarly Article Reviewers[J]. 数据分析与知识发现, 2021, 5(4): 115-122.
[2] Li Feifei,Wu Fan,Wang Zhongqing. Sentiment Analysis with Reviewer Types and Generative Adversarial Network[J]. 数据分析与知识发现, 2021, 5(4): 72-79.
[3] Feng Yong,Liu Yang,Xu Hongyan,Wang Rongbing,Zhang Yonggang. Recommendation Model Incorporating Neighbor Reviews for GRU Products[J]. 数据分析与知识发现, 2021, 5(3): 78-87.
[4] Wang Wei, Gao Ning, Xu Yuting, Wang Hongwei. Topic Evolution of Online Reviews for Crowdfunding Campaigns[J]. 数据分析与知识发现, 2021, 5(10): 103-123.
[5] Zhang Yi,Yang Yi,Deng Wen. A Systematic Review of Factors Influencing Online Trust[J]. 数据分析与知识发现, 2020, 4(5): 15-26.
[6] Shen Zhuo,Li Yan. Mining User Reviews with PreLM-FT Fine-Grain Sentiment Analysis[J]. 数据分析与知识发现, 2020, 4(4): 63-71.
[7] Xiang Fei,Xie Yaotan. Recognition Model of Patient Reviews Based on Mixed Sampling and Transfer Learning[J]. 数据分析与知识发现, 2020, 4(2/3): 39-47.
[8] Jiafen Wu,Feicheng Ma. Detecting Product Review Spam: A Survey[J]. 数据分析与知识发现, 2019, 3(9): 1-15.
[9] Ruihua Qi,Junyi Zhou,Xu Guo,Caihong Liu. Extracting Book Review Topics with Knowledge Base[J]. 数据分析与知识发现, 2019, 3(6): 83-91.
[10] Hui Nie. Modeling Users with Word Vector and Term-Graph Algorithm[J]. 数据分析与知识发现, 2019, 3(12): 30-40.
[11] Guijun Yang,Xue Xu,Fuqiang Zhao. Predicting User Ratings with XGBoost Algorithm[J]. 数据分析与知识发现, 2019, 3(1): 118-126.
[12] Liu Lina,Qi Jiayin,Zhang Zhenping,Zeng Dan. Analyzing Impacts of Brand Reputation on Online Sales Based on Massive Commodity Reviews and Brand[J]. 数据分析与知识发现, 2018, 2(9): 10-21.
[13] Yu Bengong,Zhang Peihang,Xu Qingtang. Selecting Products Based on F-BiGRU Sentiment Analysis[J]. 数据分析与知识发现, 2018, 2(9): 22-30.
[14] Li Weiqing,Wang Weijun. Building Product Feature Dictionary with Large-scale Review Data[J]. 数据分析与知识发现, 2018, 2(1): 41-50.
[15] Wu Jiang,Liu Wanwan. Identifying Reviews with More Positive Votes——Case Study of Amazon.cn[J]. 数据分析与知识发现, 2017, 1(9): 16-27.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626，82624938   E-mail:jishu@mail.las.ac.cn