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Application Research of Geological Information Metadata System in Big Data Environment

Published: 01 June 2024 Publication History

Abstract

Big data has brought new technology, new model and new impetus to the development and reform of geological survey. Facing the massive and professional diversity of geological metadata management needs, this paper analyzes the development process of metadata standards, analyzes the geological metadata standards, studies the geological information metadata model, analyzes the construction of industrial metadata systems, puts forward the functional framework and system performance design of the geological metadata system, and develops a geological metadata system based on microservices. It realizes the efficient management of geophysical, geochemical and remote sensing metadata.

References

[1]
Structure and draft for specification of geological database construction [S], DZ/T 0274, 2015: 6-7
[2]
TAN YJ. On Big Data of Geological Survey[J]. GEOMATICS WORLD, 2018, 25(2):7-11
[3]
Uf Platform and data intelligence team. Data Governance: Strategies, Methods, Tools and Practice. China Machine Press. 2021. 11.
[4]
National Standardization Administration. Geographic Information – Metadata(GB/T 19710.1-2023), 2023.
[5]
Wen YM. Research on mining geological metadata directory service based on XML [J]. Silicon Valley. 2010, Volume 14, 96 - 97
[6]
2019. ISO 19115-1: 2014 Geographic information — Metadata — Part 1: Fundamentals. https://www.iso.org/standard/53798.html
[7]
ISO 191** Suite of Geospatial Metadata Standards. https://www.fgdc.gov/metadata/iso-suite-of-geospatial-metadata-standards, 2016
[8]
China Geological Survey. Geological information metadata standard (DD2006-05) [S]. 2006
[9]
Diao MG The multi-source spatial data management system based on geological information metadata standard[J].Remote Sensing for Land and Resources, 2013, 25(1) : 165-170
[10]
YANG WH. Metadata management mechanism of massive spatial data storage. Journal of Computer Applications, 2015, 35(5) : 1276 - 1279
[11]
Cheng Fuchao. Adaptive metadata management model for distributed file system. Computer Engineering and Design. March 2014, Volume 35, Issue 3
[12]
The Scale Cube. 2020. https://akfpartners.com/growth-blog/scale-cube
[13]
Zhang Jian. Design and Implementation of Geographic Information Service Sharing Platform Based on Microservice. Wuhan: Wuhan University. 2019: 41
[14]
PostgreSQL: Documentation: 16:5.11. 2023. Table Partitioning. https://www.postgresql.org/docs/current/ddl-partitioning.html
[15]
Guo Yuanwei. MongoDB core principles and practices. Publishing House of Electronics Industry. 2022. 3

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  1. Application Research of Geological Information Metadata System in Big Data Environment

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    AISNS '23: Proceedings of the 2023 International Conference on Artificial Intelligence, Systems and Network Security
    December 2023
    467 pages
    ISBN:9798400716966
    DOI:10.1145/3661638
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

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    Published: 01 June 2024

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