The design of library database management system based on MySQL

Ziang Wei

doi:10.54254/2755-2721/38/20230527

References

[1]. Jianghai Yang. Research and design of intelligent library management system based on big data. Library Hi Tech, 2018, 36. 3, 374-377.

[2]. Haiyan Su. Intelligent library construction in the era of big data. New Silk Road: late 2017, (14), 1.

[3]. Chen, R.H.. Status and Prospect of the Construction of Intelligent Libraries. Science and Technology Information 2018, 3(11).

[4]. Hu Yanling. Research on the Application of Artificial Intelligence in Library Work and Implications. Science and Technology Information, 2020, 18(30), 4.

[5]. Zhao, M.. Design and development of library management system. Science and Technology 2012 (29), 2.

[6]. Li Chunxia On the construction of characteristic databases in university libraries Technology Information 2008 (10), 1

[7]. Zhang Yu Research on the Construction and Utilization of Library Public Media Database in the Big Data Environment. Liaoning Normal University, 2014

[8]. Pan Yongsheng. The Development Direction of Traditional Libraries in the Era of All Media. News Research Guide, 2021,12 (09): 78-79

[9]. Liu Jingjia. On the Inheritance and Innovation of Digital Library Management over Traditional Library Management. Urban Construction Archives, 2020 (12): 123-124

[10]. Chapter 8 The Entity Relationship Data Model, Database Design – 2nd Edition (opentextbc.ca)

Cite this article

Wei,Z. (2024). The design of library database management system based on MySQL. Applied and Computational Engineering,38,41-50.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

ISBN：978-1-83558-301-2(Print) / 978-1-83558-302-9(Online)

Editor：Mustafa İSTANBULLU

Conference website: https://2023.confmla.org/

Conference date: 18 October 2023

Series: Applied and Computational Engineering

Volume number: Vol.38

ISSN：2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).