Research on the Strategy of Embedded Subject Services in University Libraries in the Big Data Environment
- DOI
- 10.2991/978-2-38476-062-6_78How to use a DOI?
- Keywords
- big data; university library; embedded discipline service
- Abstract
With the continuous iteration and update of big data technology and more and more in-depth service to summarize, mine and organize network data, university teachers and students have more complex and concrete requirements for library discipline services, and the embedded discipline services of university libraries in the big data environment are the transformation and upgrading of massive heterogeneous data resources and information transmission means in serving university users, which is an important way to improve the discipline services of university libraries. It is an important way to improve the quality and efficiency of university library subject services. Through the study of relevant literature and materials, this paper summarizes the connotation of embedded discipline service, explains the positive significance of embedded discipline service in university libraries under the environment of big data, puts forward the new requirements given to embedded discipline service in university libraries by the development of big data technology, and discusses the strategy of embedded discipline service in university libraries under the environment of big data.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Hengbo Xu AU - Jianzhong Zhao PY - 2023 DA - 2023/07/11 TI - Research on the Strategy of Embedded Subject Services in University Libraries in the Big Data Environment BT - Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023) PB - Atlantis Press SP - 620 EP - 626 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-062-6_78 DO - 10.2991/978-2-38476-062-6_78 ID - Xu2023 ER -