Research of an Integrated Organization and Management Methods for Natural Resource Data

DOI

10.2991/978-94-6463-419-8_19How to use a DOI?

Keywords

Natural resources; Integrated data models; Organizational management; Storage strategies; Access interfaces

Abstract

With the continuous growth in the diversity, volume, and complexity of natural resource data, a singular approach to organize, store, and manage spatial databases has become insufficient for managing multi-source data. Against this backdrop, this research conducted to build upon traditional spatial data storage and management mechanisms by constructing a file system and a non-relational database tailored for distributed environments. This involves studying the logical structure and modeling methods of an integrated data model for natural resources, formulating integrated data storage strategies, and designing unified data access interfaces. The ultimate objective is to achieve the unified storage, organization, management, and access of multi-source heterogeneous data. To validate the effectiveness of this integrated data model, an empirical study was conducted using natural resource data from a specific region. The results demonstrate that the integrated data model can fully leverage the comprehensiveness and efficiency advantages of big data management for natural resources. Specifically, it meets the requirements for precise query statistics, efficient application analysis, flexible data distribution, and rapid delivery of 2D and 3D products and services related to natural resource data.

Copyright

© 2024 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.

Download article (PDF)

TY  - CONF
AU  - Xueyuan Li
AU  - Changqing Liu
AU  - Chen Fan
AU  - Wei Tang
AU  - Yizhou Yang
PY  - 2024
DA  - 2024/05/07
TI  - Research of an Integrated Organization and Management Methods for Natural Resource Data
BT  - Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024)
PB  - Atlantis Press
SP  - 145
EP  - 153
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-419-8_19
DO  - 10.2991/978-94-6463-419-8_19
ID  - Li2024
ER  -