Please wait a minute...
New Technology of Library and Information Service  2000, Vol. 16 Issue (6): 67-69    DOI: 10.11925/infotech.1003-3513.2000.06.20
article Current Issue | Archive | Adv Search |
The Research and Implementation of EDI System for Book Trade
Liang Lunfa   Ma Ziwei
(The Library of Beijing Universuty of Posts and Telecommunications, Beijing)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

This paper discusses basic concepts about the EDI standard, and it’s implementation in the field of book trade, which adopts client/server mode, uses outlook express to transfer messages about book trade documents on Internet.These documents have been transferred according to the EDIFACT standard format and encrypted for safety consideration. This application system can provide services for corporations to send and receive orders and complete relevant functions.
Key words： EDI      Data encryption      Internet      Book trad     
Received: 18 June 2000      Published: 25 December 2000
Corresponding Authors: Liang Lunfa,Ma Ziwei   
About author:: Liang Lunfa,Ma Ziwei
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors

Cite this article:

Liang Lunfa,Ma Ziwei. The Research and Implementation of EDI System for Book Trade. New Technology of Library and Information Service, 2000, 16(6): 67-69.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2000.06.20     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2000/V16/I6/67

1 EDItERU EDI Implementation Guidelines for Trade Book Supply.Version1.1
2 EDIFACT—Application level syntax rulesISO9735:1988,(E)
3 马自卫.Internet实用技术.人民邮电出版社,1996
4 姚忠.电子贸易技术—EDI.电子工业出版社,1998
5 CHINAEDI.北京系统的建设.计算机与通信,1998
6 EDI与电子商务.全国电子信息系统推广办公室编写.清华大学出版社,2000
[1] Shan Xiaohong,Wang Chunwen,Liu Xiaoyan,Han Shengxi,Yang Juan. Identifying Lead Users in Open Innovation Community from Knowledge-based Perspectives[J]. 数据分析与知识发现, 2021, 5(9): 85-96.
[2] Che Hongxin,Wang Tong,Wang Wei. Comparing Prediction Models for Prostate Cancer[J]. 数据分析与知识发现, 2021, 5(9): 107-114.
[3] Xu Liangchen, Guo Chonghui. Predicting Survival Rates for Gastric Cancer Based on Ensemble Learning[J]. 数据分析与知识发现, 2021, 5(8): 86-99.
[4] Liu Yuanchen, Wang Hao, Gao Yaqi. Predicting Online Music Playbacks and Influencing Factors[J]. 数据分析与知识发现, 2021, 5(8): 100-112.
[5] Xie Hao,Mao Jin,Li Gang. Sentiment Classification of Image-Text Information with Multi-Layer Semantic Fusion[J]. 数据分析与知识发现, 2021, 5(6): 103-114.
[6] 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.
[7] Zhang Guobiao,Li Jie. Detecting Social Media Fake News with Semantic Consistency Between Multi-model Contents[J]. 数据分析与知识发现, 2021, 5(5): 21-29.
[8] Zhang Xin,Wen Yi,Xu Haiyun. A Prediction Model with Network Representation Learning and Topic Model for Author Collaboration[J]. 数据分析与知识发现, 2021, 5(3): 88-100.
[9] Shen Si,Li Qinyu,Ye Yuan,Sun Hao,Ye Wenhao. Topic Mining and Evolution Analysis of Medical Sci-Tech Reports with TWE Model[J]. 数据分析与知识发现, 2021, 5(3): 35-44.
[10] Xu Yabin, Sun Qiutian. Identifying Leaders and Dissemination Paths of Public Opinion[J]. 数据分析与知识发现, 2021, 5(2): 32-42.
[11] Wu Shengnan, Pu Hongjun, Tian Ruonan, Liang Wenqi, Yu Qi. Network Structure’s Impacts on Link Prediction Algorithm from Meta-Analysis Perspective[J]. 数据分析与知识发现, 2021, 5(11): 102-113.
[12] Yu Chuanming, Zhang Zhengang, Kong Lingge. Comparing Knowledge Graph Representation Models for Link Prediction[J]. 数据分析与知识发现, 2021, 5(11): 29-44.
[13] Feng Hao, Li Shuqing. Multi-layer Cascade Classifier for Credit Scoring with Multiple-Support Vector Machines[J]. 数据分析与知识发现, 2021, 5(10): 28-36.
[14] Zhang Sifan,Niu Zhendong,Lu Hao,Zhu Yifan,Wang Rongrong. Predicting Citations Based on Graph Convolution Embedding and Feature Cross：Case Study of Transportation Research[J]. 数据分析与知识发现, 2020, 4(9): 56-67.
[15] Li Gang, Guan Weidong, Ma Yaxue, Mao Jin. Predicting Social Media Visibility of Scholarly Articles[J]. 数据分析与知识发现, 2020, 4(8): 63-74.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626，82624938   E-mail:jishu@mail.las.ac.cn