Research Status and Trend Analysis of Learning Resource Aggregation in the Era of Big Data
Authors
Fan Yang, Yue Wang
Corresponding Author
Fan Yang
Available Online October 2019.
- DOI
- 10.2991/cesses-19.2019.98How to use a DOI?
- Keywords
- learning resources; resource aggregation; semantic web; aggregation technology
- Abstract
In the era of big data, the learning resources in the network are becoming more and more abundant, but it is difficult for learners to find suitable resources. Therefore, through resource aggregation, learners can accurately locate resources and utilize resources to optimize resource allocation and avoid waste. This paper systematically reviews the theories, technologies, and methods of learning resource aggregation, reviews the existing researches and practices, and proposes future research trends.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Fan Yang AU - Yue Wang PY - 2019/10 DA - 2019/10 TI - Research Status and Trend Analysis of Learning Resource Aggregation in the Era of Big Data BT - Proceedings of the 2nd International Conference on Contemporary Education, Social Sciences and Ecological Studies (CESSES 2019) PB - Atlantis Press SP - 420 EP - 423 SN - 2352-5398 UR - https://doi.org/10.2991/cesses-19.2019.98 DO - 10.2991/cesses-19.2019.98 ID - Yang2019/10 ER -