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New Technology of Library and Information Service  2015, Vol. 31 Issue (9): 90-96    DOI: 10.11925/infotech.1003-3513.2015.09.13
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Application of WebSocket in Library Mobile Information Service
Chen Shiqin1, Li Wenjiang2
1 Library of Chongqing University of Arts and Sciences, Chongqing 402160, China;
2 Faculty of Electromechanical Engineering, Chongqing University of Arts and Sciences, Chongqing 402160, China
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Abstract  

[Objective] Extend mobile information services channels of library, improve the response speed and enhance user experience. [Context] The system is applied to the different platforms of mobile terminal, and realizes the real-time asynchronous transmission of library information. [Methods] Using WebSocket, the process is designed for the client to send the query, the server to resolve the query instruction, the library information query module and the information reply client. [Results] The readers can click client menu, conveniently access to library information service. [Conclusions] This system has high efficiency of data transmission, realizes the cross platform operation, and conducives to the expansion of library information service project.

Received: 07 April 2015      Published: 06 April 2016
:  TP391.1  

Cite this article:

Chen Shiqin, Li Wenjiang. Application of WebSocket in Library Mobile Information Service. New Technology of Library and Information Service, 2015, 31(9): 90-96.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2015.09.13     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2015/V31/I9/90

[1] 范跃华. 基于智能手机APP的图书馆个性化信息推送服务[J]. 图书馆学刊, 2014(6): 116-118. (Fan Yuehua. Library Personalized Information Push Service Based on Smartphone APP [J]. Journal of Library Science, 2014(6): 116-118.)
[2] 罗晓涛. 基于微信公众平台的图书馆信息推送服务[J]. 图书馆学刊, 2014(4): 66-69. (Luo Xiaotao. Library Information Push Service Based on WeChat Public Platform [J]. Journal of Library Science, 2014(4): 66-69.)
[3] 李文江, 陈诗琴. 微信作为APP客户端的图书馆公共服务平台[J]. 现代图书情报技术, 2014(7-8): 133-138. (Li Wenjiang, Chen Shiqin. WeChat as Library Public Service Platform for the APP Client [J]. New Technology of Library and Information Service, 2014(7-8): 133-138.)
[4] 江波, 覃燕梅. 基于微信的移动图书馆APP服务系统设计与实现[J]. 现代情报, 2013, 33(6): 41-44. (Jiang Bo, Qin Yanmei. Design and Implementation of Mobile Library APP Service System Based on WeChat [J]. Journal of Modern Information, 2013, 33(6): 41-44.)
[5] Web APP [EB/OL]. [2015-04-07]. http://baike.baidu.com/view/8346651.htm.
[6] 夏翠娟, 张燕. 图书馆移动阅读服务的新契机: HTML5和CSS3[J].现代图书情报技术, 2012(5): 16-25. (Xia Cuijuan, Zhang Yan. The New Chance of Library Mobile Reading Services: HTML5 & CSS3 [J]. New Technology of Library and Information Service, 2012(5): 16-25.)
[7] HTML5 [EB/OL]. [2015-04-07]. http://www.w3.org/TR/html5/.
[8] WebSocket [EB/OL]. [2015-04-07]. http://baike.baidu.com/view/3623887.htm/.
[9] 吕海东. 基于WebSocket的实时Web监控系统[J].工业控制计算机, 2014(6): 82-83. (Lv Haidong. Real-Time Web Monitoring System Based on WebSocket [J]. Industrial Control Computer, 2014(6): 82-83.)
[10] 柳纲, 李佳阳, 张毅. WebSocket技术在EMS信息实时发布中的应用[J]. 电力信息与通信技术, 2013, 11(10): 30-33. (Liu Gang, Li Jiayang, Zhang Yi. Application of WebSocket on Real-time Information in EMS System [J]. Electric Power Information and Communication Technology, 2013, 11(10): 30-33.)
[11] 白海波. WebSocket技术在体育赛事网站中的研究与应用[D]. 上海: 东华大学, 2014. (Bai Haibo. The Research and Application of WebSocket on Sports and Games Websites [D]. Shanghai: Donghua University, 2014.)
[12] 郭文丽, 严潮斌, 吴旭. 基于Android客户端的图书馆微服务研究与实践[J]. 图书情报工作, 2013, 57(8): 22-26. (Guo Wenli, Yan Chaobin, Wu Xu. Research and Practice of Library Micro-services Based on Android [J]. Library and Information Service, 2013, 57(8): 22-26.)
[13] 傲瑞组件开发手册(02)—轻量级的通信引擎StriveEngine [EB/OL]. [2015-04-06]. http://blog.oraycn.com/StriveEngine. aspx.(The Proud Red Component Development Manual StriveEngine (02) -Lightweight Communication Engine [EB/OL]. [2015-04-07]. http://blog.oraycn.com/StriveEngine. aspx.)
[14] 李文江, 陈诗琴. AIMLBot智能机器人在实时虚拟参考咨询中的应用[J]. 现代图书情报技术, 2012(7-8): 127-132. (Li Wenjiang, Chen Shiqin. Application of AIMLBot Intelligent Robot in Real-time Virtual Reference Service [J]. New Technology of Library and Information Service, 2012(7-8): 127-132.)
[15] HttpWatch 10 [EB/OL]. [2015-04-07]. http://www.httpwatch.com/.
[16] c# winform实现网页上用户自动登陆,模拟网站登录[EB/OL]. [2015-04-07]. http://www.cnblogs.com/jayleke/archive/2010/08/14/1799702.html. (c# winform to Realize Automatic Web Page the User Login, Simulate the Website Login [EB/OL]. [2015-04-07]. http://www.cnblogs.com/jayleke/archive/2010/08/14/1799702.html.)
[17] HTML Agility Pack [EB/OL]. [2015-04-07]. http://htmlagili­typack.codeplex.com/.

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