Please wait a minute...
New Technology of Library and Information Service  2001, Vol. 17 Issue (5): 75-76    DOI: 10.11925/infotech.1003-3513.2001.05.25
article Current Issue | Archive | Adv Search |
Practice of the Development of Information Resource in the Network Environment——Refering to the Publishing of Essence of Financial Literature in the World
Jiang Jiahui
(Library, Southwestern University of Fiance and Economics, Chengdu 610074, China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

From the perspective of libraries,the development of information resource contains two steps.The first is the utilization of information data ,which is comprehensive.The second is reprocessing of the information resource.This article introduces the specific practice of the development of information resource in the network environment.

Key wordsInformation resource      Reference      Network environment     
Received: 30 May 2001      Published: 25 October 2001
: 

G252.6

 
Corresponding Authors: Jiang Jiahui   
About author:: Jiang Jiahui

Cite this article:

Jiang Jiahui. Practice of the Development of Information Resource in the Network Environment——Refering to the Publishing of Essence of Financial Literature in the World. New Technology of Library and Information Service, 2001, 17(5): 75-76.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2001.05.25     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2001/V17/I5/75


[1]宋永春.网络环境下的参考咨询服务.图书情报工作,2000,(2):50-51

[2]龚亦农.让图书馆的主页成为完善服务、促进交流的窗口.江苏高等学校图书馆学报,2000,(1):50-51

[3]高曼.在网络环境下逐渐走入幕后的图书馆员.图书馆工作与研究,2000,(1):47-49

[1] Tan Ying, Tang Yifei. Extracting Citation Contents with Coreference Resolution[J]. 数据分析与知识发现, 2021, 5(8): 25-33.
[2] 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.
[3] Li Zhenyu, Li Shuqing. Deep Collaborative Filtering Algorithm with Embedding Implicit Similarity Groups[J]. 数据分析与知识发现, 2021, 5(11): 124-134.
[4] Yang Chen, Chen Xiaohong, Wang Chuhan, Liu Tingting. Recommendation Strategy Based on Users’ Preferences for Fine-Grained Attributes[J]. 数据分析与知识发现, 2021, 5(10): 94-102.
[5] Deng Siyi,Le Xiaoqiu. Coreference Resolution Based on Dynamic Semantic Attention[J]. 数据分析与知识发现, 2020, 4(5): 46-53.
[6] Jinzhu Zhang,Yiming Hu. Extracting Titles from Scientific References in Patents with Fusion of Representation Learning and Machine Learning[J]. 数据分析与知识发现, 2019, 3(5): 68-76.
[7] Jinzhu Zhang,Yue Wang,Yiming Hu. Analyzing Sci-Tech Topics Based on Semantic Representation of Patent References[J]. 数据分析与知识发现, 2019, 3(12): 52-60.
[8] Zhang Tingting,Zhao Yuxiang,Zhu Qinghua. Mining User Preferences in Crowdsourcing Community with Sensitivity Analysis[J]. 数据分析与知识发现, 2018, 2(5): 23-31.
[9] Guo Chonghui,Li Minqian. Evaluating Web Information for Ancient Villages Based on Rank Aggregation[J]. 数据分析与知识发现, 2018, 2(4): 10-19.
[10] Zhang Suqi,Gao Xing,Huo Shijie,Guo Jingjin,Gu Junhua. A Label Propagation Algorithm Based on Speed Optimization and Community Preference[J]. 数据分析与知识发现, 2018, 2(3): 60-69.
[11] Yin Cong,Zhang Liyi. Recommendation Algorithm for Post-Context Filtering Based on TF-IDF: Case Study of Catering O2O[J]. 数据分析与知识发现, 2018, 2(11): 28-36.
[12] Tu Haili,Tang Xiaobo. Building Product Recommendation Model Based on Tags[J]. 数据分析与知识发现, 2017, 1(9): 28-39.
[13] Hou Yinxiu,Li Weiqing,Wang Weijun,Zhang Tingting. Personalized Book Recommendation Based on User Preferences and Commodity Features[J]. 数据分析与知识发现, 2017, 1(8): 9-17.
[14] 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.
[15] Yue Zijing,Zhang Chengzhi,Zhou Qingqing. Studying Dietary Preferences of Chinese Residents[J]. 数据分析与知识发现, 2017, 1(11): 84-93.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn