农业大数据学报 ›› 2025, Vol. 7 ›› Issue (2): 201-212.doi: 10.19788/j.issn.2096-6369.000083

• 数据管理 • 上一篇    下一篇

农业科学数据本体网络系统研发

陈晓静1,2,4(), 赵晓燕1,2,4(), 贺子康1,2,4, 林佳1,2,4, 李佳乐1,2,4, 申家炜1,2,4, 樊景超1,2,3, 闫燊3,4, 王健1,2,4, 张建华1,2,4,*(), 周国民2,4,5,6,*()   

  1. 1.中国农业科学院农业信息研究所,北京 100081
    2.三亚中国农业科学院国家南繁研究院,海南三亚 572024
    3.中国农业科学院作物科学研究所,北京100081
    4.国家农业科学数据中心,北京 100081
    5.农业农村部南京农业机械化研究所,南京 210014
    6.中国农业科学院西部农业研究中心,新疆昌吉 831100
  • 收稿日期:2024-11-13 接受日期:2025-04-10 出版日期:2025-06-26 发布日期:2025-06-23
  • 通讯作者: 周国民,E-mail:zhouguomin@caas.cn
    张建华,E-mail:zhangjianhua@caas.cn
  • 作者简介:陈晓静,E-mail:82101225580@caas.cn
    共同第一作者赵晓燕,E-mail:zhaoxiaoyan812@163.com
  • 基金资助:
    国家重点研发计划(2022YFF0711805);国家重点研发计划(2022YFF0711801);中国农业科学院创新工程(CAAS-ASTIP-2024-AII);三亚中国农业科学院国家南繁研究院南繁专项(YBXM2409);三亚中国农业科学院国家南繁研究院南繁专项(YBXM2410);中央级公益性科研院所基本科研业务费专项(JBYW-AII-2024-05);天池英才引进计划

Research and Development of Agricultural Science Data Ontology Network System

CHEN XiaoJing1,2,4(), ZHAO XiaoYan1,2,4(), HE ZiKang1,2,4, LIN Jia1,2,4, LI JiaLe1,2,4, SHEN JiaWei1,2,4, FAN JingChao1,2,3, YAN Shen3,4, WANG Jian1,2,4, ZHANG JianHua1,2,4,*(), ZHOU GuoMin2,4,5,6,*()   

  1. 1. Institute of Agricultural Information, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    2. Nanfan Research Institute, Chinese Academy of Agricultural Sciences, Sanya 572024, Hainan, China
    3. Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    4. National Agriculture Science Data Center, Beijing 10081, China
    5. Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
    6. Western Research Institute, CAAS, Changji 831100, Xinjiang, China
  • Received:2024-11-13 Accepted:2025-04-10 Published:2025-06-26 Online:2025-06-23

摘要:

农业科学数据本体网络的构建是农业科学数据分析挖掘的重要内容。它可以将分散在不同数据库、不同格式的数据进行集成,将不同领域的数据进行关联和整合,形成更全面的数据池,支持跨领域跨学科数据的自动分析挖掘,发现隐藏的知识、模式和趋势。本研究构建了包含农业、作物、基因、序列等相关28个农业科学数据本体的数据库,制定了农业科学数据本体存储标准,搭建了基于HugeGraph图数据库的农业科学数据本体网络,建立“数据集-数据记录-信息实体”映射关系机制,并且设计了农业科学数据本体网络系统技术框架。系统实现了自动化导入、自动管理和本体网络可视化等功能,突破当前农业本体数量多、数据量大、缺少专有系统进行管理等突出问题,研发了集大规模多格式农业科学数据本体导入、本体管理、本体内和跨本体映射关系编辑、本体网络可视化等四大类功能于一体的农业科学数据本体网络系统,有力提升了农业科学数据本体管理能力,支撑海量数据资源高效语义关联发布以及跨领域跨学科的数据自动聚合,为农业科学数据在线分析挖掘奠定了基础。

关键词: 农业科学数据, 农业科学数据本体库, 农业科学数据本体网络, 农业科学数据本体网络系统, 本体网络可视化

Abstract:

The construction of agricultural science data ontology network is an important part of agricultural science data analysis and mining. It can integrate data scattered in different databases and different formats, correlate and integrate data from different fields to form a more comprehensive data pool, support automatic analysis and mining of cross-domain and interdisciplinary data, and discover hidden knowledge, patterns and trends. In this paper, a database of 28 agricultural science data ontologies related to agriculture, crops, genes, and sequences is constructed, the storage standard of agricultural science data ontology is formulated, the agricultural science data ontology network based on the HugeGraph graph database is built, the mapping relationship mechanism of "data set-data record-information entity" is established, and the technical framework of agricultural science data ontology network system is designed. The system realizes the functions of automatic import, automatic management and ontology network visualization, breaks through the outstanding problems such as the large number of agricultural ontologies, the large amount of data, and the lack of proprietary systems for management, and develops an agricultural scientific data ontology network system that integrates four major functions, such as large-scale multi-format agricultural scientific data ontology import, ontology management, ontology and cross-ontology mapping relationship editing, and ontology network visualization, which effectively improves the management ability of agricultural scientific data ontology. It supports the efficient semantic association and release of massive data resources and the automatic aggregation of cross-domain and interdisciplinary data, which lays the foundation for online analysis and mining of agricultural scientific data.

Key words: agricultural science data, agricultural science data ontology library, agricultural science data ontology network, agricultural science data ontology network system, ontology network visualization